An Indexed Bibliography of Genetic Algorithms in …lipas.uwasa.fi/~TAU/reports/report94-1/gaBIObib.pdfAn Indexed Bibliography of Genetic Algorithms in Biosciences compiled by Jarmo

An Indexed Bibliography of GeneticAlgorithms in Biosciences

compiled by

Jarmo T. AlanderDepartment of Electrical and Energy Engineering: Automation

University of Vaasa P.O. Box 700, FIN-65101 Vaasa, Finlandphone: +358-6-324 8444, fax: +358-6-324 8467

Dedicated to the Participants of the STeP’04

Report Series No. 94-1-BIO (Updated 2014/05/06 09:59 )

available at http://www.uva.fi/~TAU/reports/report94-1/gaBIObib.pdf

Copyright c© 1994-2013 Jarmo T. Alander

Trademarks

Product and company names listed are trademarks or trade names of their respective companies.

Warning

While this bibliography has been compiled with the utmost care, the editor takes no responsibility forany errors, missing information, the contents or quality of the references, nor for the usefulness and/orthe consequences of their application. The fact that a reference is included in this publication does notimply a recommendation. The use of any of the methods in the references is entirely at the user’s ownresponsibility. Especially the above warning applies to those references that are marked by trailing ’†’ (or’*’), which are the ones that the editor has unfortunately not had the opportunity to read. An abstractwas available of the references marked with ’*’.

Contents

1 Preface 11.1 Your contributions erroneous or missing? . . . . . . . . . . . . . . . . . . . . . . . . . . . 2

1.1.1 How to cite this report? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.2 How to get this report via Internet? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.3 Acknowledgement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2

2 Introduction 4

3 Statistical summaries 53.1 Publication type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.2 Annual distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.3 Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 Authors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.5 Geographical distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.6 Conclusions and future . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

4 Indexes 114.1 Books . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.2 Journal articles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.3 Theses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

4.3.1 PhD theses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.3.2 Master’s theses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

4.4 Report series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.5 Patents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.6 Authors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194.7 Subject index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474.8 Annual index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 694.9 Geographical index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71

Bibliography 73

Appendixes 171

A Bibliography entry formats 171

i

ii

Chapter 1

Preface

“ Living organism are consummate problem solvers. They exhibit a versatilitythat puts the best computer programs to shame. ”

John H. Holland, [1]

The material of this bibliography has been extracted from the genetic algorithm bibliography [2], whichwhen this report was compiled (May 6, 2014) contained 22162 items and which has been collected fromseveral sources of genetic algorithm literature including Usenet newsgroup comp.ai.genetic and thebibliographies [3, 4, 5, 6]. The following index periodicals and databases have been used systematically

• A: International Aerospace Abstracts: Jan. 1995 – Sep. 1998

• ACM: ACM Guide to Computing Literature: 1979 – 1993/4

• BA: Biological Abstracts: July 1996 - Aug. 1998

• CA: Computer Abstracts: Jan. 1993 – Feb. 1995

• CCA: Computer & Control Abstracts: Jan. 1992 – Dec. 1999 (except May -95)

• ChA: Chemical Abstracts: Jan. 1997 - Dec. 2000

• CTI: Current Technology Index Jan./Feb. 1993 – Jan./Feb. 1994

• DAI: Dissertation Abstracts International: Vol. 53 No. 1 – Vol. 56 No. 10 (Apr. 1996)

• EEA: Electrical & Electronics Abstracts: Jan. 1991 – Apr. 1998

• EI A: The Engineering Index Annual: 1987 – 1992

• EI M: The Engineering Index Monthly: Jan. 1993 – Apr. 1998 (except May 1997)

• Esp@cenet patents – Apr. 2002

• IEEE: IEEE and IEE Journals – Fall 2002

• N: Scientific and Technical Aerospace Reports: Jan. 1993 - Dec. 1995 (except Oct. 1995)

• NASA NASA ADS www bibliography database: – Dec. 2002

• P: Index to Scientific & Technical Proceedings: Jan. 1986 – Dec 1999 (except Nov. 1994)

• PA: Physics Abstracts: Jan. 1997 – June 1999

• PubMed: National Library of Medicine Jan. 2000 – Oct. 2000

• SPIE Web The International Society for Optical Engineering – June 2002

1

2 Genetic algorithms in biosciences

1.1 Your contributions erroneous or missing?

The bibliography database is updated on a regular basis and certainly contains many errors and incon-sistences. The editor would be glad to hear from any reader who notices any errors, missing information,articles etc. In the future a more complete version of this bibliography will be prepared for the geneticalgorithms in biosciences research community and others who are interested in this rapidly growing areaof genetic algorithms.

When submitting updates to the database, paper copies of already published contributions are pre-ferred. Paper copies (or ftp ones) are needed mainly for indexing. We are also doing reviews of differentaspects and applications of GAs where we need as complete as possible collection of GA papers. Please,do not forget to include complete bibliographical information: copy also proceedings volume title pages,journal table of contents pages, etc. Observe that there exists several versions of each subbibliography,therefore the reference numbers are not unique and should not be used alone in communi-cation, use the key appearing as the last item of the reference entry instead.

Complete bibliographical information is really helpful for those who want to find your contributionin their libraries. If your paper was worth writing and publishing it is certainly worth to be referencedright in a bibliographical database read daily by GA researchers, both newcomers and established ones.

1.1.1 How to cite this report?

You can use the BiBTEX file GASUB.bib, which is available in our site lipas.uwasa.fi in directoryreports/report94-1 and contains records for GA subbibliographies for citing with LATEX/BibTEX.

1.2 How to get this report via Internet?

Versions of this bibliography are available via www from the following site:

media country site directory fileweb Finland lipas.uwasa.fi ~TAU/reports/report94-1 gaBIObib.pdf

The directory also contains some other indexed GA bibliographies shown in table A.1. In case you donot find a proper one please let us know: it may be easy to tailor a new one.

1.3 Acknowledgement

The editor wants to acknowledge all who have kindly supplied references, papers and other information ongenetic algorithms in biosciences literature. At least the following GA researchers have already kindly sup-plied their complete autobibliographies and/or proofread references to their papers: Dan Adler, PatrickArgos, Jarmo T. Alander, James E. Baker, Wolfgang Banzhaf, Helio J. C. Barbosa, Hans-Georg Beyer,Christian Bierwirth, Peter Bober Joachim Born, Ralf Bruns, I. L. Bukatova, Thomas Back, ChhandraChakraborti, Nirupam Chakraborti, David E. Clark, Carlos A. Coello Coello, Yuval Davidor, DipankarDasgupta, Marco Dorigo, J. Wayland Eheart, Bogdan Filipic, Terence C. Fogarty, David B. Fogel, ToshioFukuda, Hugo de Garis, Robert C. Glen, David E. Goldberg, Martina Gorges-Schleuter, Hitoshi Hemmi,Vasant Honavar, Jeffrey Horn, Aristides T. Hatjimihail, Heikki Hyotyniemi Mark J. Jakiela, RichardS. Judson, Bryant A. Julstrom, Charles L. Karr, Akihiko Konagaya, Aaron Konstam, John R. Koza,Kristinn Kristinsson, Malay K. Kundu, D. P. Kwok, Jouni Lampinen, Jorma Laurikkala, Gregory Lev-itin, Carlos B. Lucasius, Timo Mantere, Michael de la Maza, John R. McDonnell, J. J. Merelo, LaurenceD. Merkle, Zbigniew Michalewics, Melanie Mitchell, David J. Nettleton, Volker Nissen, Ari Nissinen,Tatsuya Niwa, Tomasz Ostrowski, Kihong Park, Jakub Podgorski, Timo Poranen, Nicholas J. Radcliffe,Colin R. Reeves, Gordon Roberts, David Rogers, David Romero, Sam Sandqvist, Ivan Santibanez-Koref,Marc Schoenauer, Markus Schwehm, Hans-Paul Schwefel, Michael T. Semertzidis, Davil L. Shealy, MosheSipper, William M. Spears, Donald S. Szarkowicz, El-Ghazali Talbi, Masahiro Tanaka, Leigh Tesfatsion,

Acknowledgement 3

Peter M. Todd, Marco Tomassini, Andrew L. Tuson, Kanji Ueda, Jari Vaario, Gilles Venturini, Hans-Michael Voigt, Roger L. Wainwright, D. Eric Walters, James F. Whidborne, Stefan Wiegand, StewardW. Wilson, Xin Yao, Xiaodong Yin, and Ljudmila A. Zinchenko.

The editor also wants to acknowledge Elizabeth Heap-Talvela for her kind proofreading of the manuscriptof this bibliography and Tea Ollanketo and Sakari Kauvosaari for updating the database. Prof. TimoSalmi and the Computer Centre of University of Vaasa is acknowledged for providing and managing theonline web site lipas.uwasa.fi, where these indexed bibliographies are located since Summer 2012.

Chapter 2

Introduction

“Many scientist, possibly most scientist, just do science without thinking toomuch about it. They run experiments, make observations, show how certaindata conflict with more general views, set out theories, and so on. Periodically,however, some of us—scientists included—step back and look at what is goingon in science.”

David L., Hull, [7]

The table 2.1 gives the queries that have been used to extract this bibliography. The query system as wellas the indexing tools used to compile this report from the BiBTEX-database [8] have been implementedby the author mainly as sets of simple awk and gawk programs [9, 10].

string field class

agriculture ANNOTE Agriculturebiology ANNOTE Biologybiochem ANNOTE Biochemistrycell computing ANNOTE Cell computingdrug ANNOTE Pharmacyevolution, ANNOTE Evolutionevolution /modeling ANNOTE Evolution modelingant system ANNOTE Ant systemsforestry ANNOTE Forestrypharmacy ANNOTE PharmacyDNA ANNOTE DNAenvironmen ANNOTE Environmental sciencespollution ANNOTE Environmental scienceshorticulture ANNOTE Agricultureprotein ANNOTE Proteinsmedicine ANNOTE Medicinemedical ANNOTE MedicineMEDLINE ANNOTE In MEDLINE databasepsycholo ANNOTE Psychology

Table 2.1: Queries used to extract this subbibliography from the source database.

You might also find the bibliography [11], containing immune systems references, and [12], containingneural networks references, interesting.

4

Chapter 3

Statistical summaries

This chapter gives some general statistical sum-maries of genetic algorithms in biosciences litera-ture. More detailed indexes can be found in thenext chapter.

References to each class (c.f table 2.1) are listedbelow:

• Agriculture 84 references ([13]-[96])

• Ant systems 54 references ([97]-[150])

• Biochemistry 35 references ([151]-[185])

• Biology 89 references ([186]-[274])

• Cell computing 1 references ([275]-[275])

• DNA 114 references ([276]-[389])

• Environmental sciences 57 references ([390]-[446])

• Evolution 135 references ([447]-[581])

• Forestry 17 references ([582]-[598])

• In MEDLINE database 20 references ([599]-[618])

• Medicine 644 references ([619]-[1262])

• Pharmacy 39 references ([1263]-[1301])

• Proteins 328 references ([1302]-[1629])

• Psychology 7 references ([1630]-[1636])

Observe that each reference is included (by thecomputer) only to one of the above classes (see thequeries for classification in table 2.1; the textualorder in the query gives priority for classes).

3.1 Publication type

This bibliography contains published contributionsincluding reports and patents. All unpublishedmanuscripts have been omitted unless acceptedfor publication. In addition theses, PhD, MScetc., are also included whether or not publishedsomewhere.

Table 3.1 gives the distribution of publicationtype of the whole bibliography. Observe that thenumber of journal articles may also include ar-ticles published or to be published in unknownforums.

type number of itemsbook 14section of a book 4part of a collection 51journal article 825proceedings article 616report 28manual 1PhD thesis 59MSc thesis 11others 19total 1628

Table 3.1: Distribution of publication type.

3.2 Annual distribution

Table 3.2 gives the number of genetic algorithmsin biosciences papers published annually. The an-nual distribution is also shown in fig. 3.1. Theaverage annual growth of GA papers has been ap-proximately 40 % during late 70’s - early 90’s.

5


year items year items1967 2 1968 01969 0 1970 01971 0 1972 11973 1 1974 01975 0 1976 01977 1 1978 01979 1 1980 11981 0 1982 01983 0 1984 01985 5 1986 21987 1 1988 01989 4 1990 111991 15 1992 231993 72 1994 871995 90 1996 1341997 157 1998 1451999 152 2000 1192001 108 2002 812003 73 2004 352005 46 2006 572007 58 2008 402009 41 2010 192011 17 2012 232013 6total 1628

Table 3.2: Annual distribution of contributions.

3.3 Classification

Every bibliography item has been given at leastone describing keyword or classification by the edi-tor of this bibliography. Keywords occurring mostare shown in table 3.3.

Authors 7

Total 1358medicine 401medical imaging 219proteins 178protein folding 178image processing 111neural networks 91chemistry 84biology 82comparison 75agriculture 73coevolution 72evolution 68cancer 65imaging 63spectroscopy 58DNA 52image registration 50hybrid 47classification 47genetic programming 46engineering 43DNA computing 41ant systems 39machine learning 38tomography 34parallel GA 33drug design 31biochemistry 31pattern recognition 27differential evolution 27signal processing 25review 25QSAR 23neurology 23macromolecules 23environment 23control 23simulation 22analysing GA 22population size 21GARP 21implementation 20ecology 20diagnosis 20patent 19radiotherapy 18evolution strategies 18artificial life 17forestry 16fuzzy systems 15clustering 15tutorial 14popular 14scheduling 13optimisation 13cardiology 13regression 12pollution 12optimization 12mammography 12inverse problems 12food 12TSP 11segmentation 11electromagnetics 11crossover 11psychology 10protein 10planning 10oncology 10MRI 10geophysics 10genetics 10expert systems 10coding 10others 4235

Table 3.3: The most popular subjects.

3.4 Authors

Table 3.4 gives the most productive authors.

total number of authors 3416Alander, Jarmo T. 16Dandekar, Thomas 13Pollack, Jordan B. 12Dorigo, Marco 11Moult, John 11Willett, Peter 11Delibasis, Konstantinos K. 10Fogel, David B. 10Koza, John R. 101 author 96 authors 89 authors 728 authors 628 authors 560 authors 4119 authors 3400 authors 22756 authors 1

Table 3.4: The most productive genetic algo-rithms in biosciences authors.


6

1

10

100

1000

number of papers(log scale)

-

1960 1970 1980 1990 2000 2010year

Genetic algorithms in biosciences

2014/05/06

c cccccccccccc

ccccccccccccccc

ccccccc

cccccccccccccccccccccc

cs ss s ss

sssss

sssssssssssssssssssssss

Figure 3.1: The number of papers applying ge-netic algorithms in biosciences (•, N = 1635) and total GA papers (◦, N = 22162 ). Observethat the last few years are most incomplete in thedatabase.

Geographical distribution 9

3.5 Geographical distribution

Table 3.5 gives the geographical distribution of authors, when the country of the author was known. Over80% of the references of the GA source database are classified by country.

2014/05/06 special comparison allcountry n % δ[%] ∆[%] N %Total 1571 100.00 20961 100.00United States 524 33.35 +6.55 +24 5618 26.80United Kingdom 149 9.48 −0.51 −5 2095 9.99Japan 134 8.53 −3.26 −28 2472 11.79Germany 97 6.17 −0.49 −7 1395 6.66China 81 5.16 −0.09 −2 1100 5.25Finland 66 4.20 +0.05 +1 870 4.15Italy 48 3.06 +0.21 +7 598 2.85France 40 2.55 −0.03 −1 541 2.58India 37 2.36 +0.52 +28 385 1.84Canada 36 2.29 +0.68 +42 337 1.61Taiwan 31 1.97 −0.27 −12 470 2.24Australia 29 1.85 −0.59 −24 511 2.44Spain 28 1.78 −0.29 −14 434 2.07Belgium 22 1.40 +0.58 +71 171 0.82Brazil 22 1.40 +0.35 +33 221 1.05The Netherlands 18 1.15 +0.16 +16 208 0.99Sweden 14 0.89 +0.30 +51 124 0.59Switzerland 14 0.89 +0.02 +2 183 0.87Israel 13 0.83 +0.24 +41 124 0.59Mexico 13 0.83 +0.17 +26 139 0.66

Table 3.5: The geographical distribution of the authors working on genetic algorithms in biosciences(n) compared (δ and ∆) to all authors in the field of GAs (N). In the comparison column: δ% =%special−%all and ∆ = (1− nNT otal

NnT otal)× 100%. ∆ is the relative (%) deviation from the expected number

of special papers. Observe that joint papers may have authors from several countries and that not allauthors have been attributed to a country.

3.6 Conclusions and future

The editor believes that this bibliography contains references to most genetic algorithms in biosciencescontributions upto and including the year 1998 and the editor hopes that this bibliography could givesome help to those who are working or planning to work in this rapidly growing area of genetic algorithms.


Chapter 4

Indexes

4.1 Books

The following list contains all items classified asbooks.

Analysis of Biological Data, A Soft Computing Approach,[1419]

Climbing Mount Improbable, [254]

Computing with Bio-Molecules, Theory and Experiments,[371]

Data Mining Using Grammar Based Genetic Programmingand Applications, [635]

DNA Computing — New Computing Paradigms, [378]

Evolutionary Algorithms and Agricultural Systems, [19]

Evolutionary Algorithms in Molecular Design, [1348]

From Natural to Artificial Swarm Intelligence, [136]

Fuzzy Genetic Algorithms, SVM Methods for EpilepsyClassification: Fuzzy Genetic Al gorithms, SVMand Statistical Analysis in Classification of DiabeticEpilepsy Risk Level from EEG Signal, [1131]

New Ideas in Optimization, [138]

Optimization in Signal and Image Processing, [758]

Radiotherapy Treatment Planning: New System Ap-proaches, [1250]

The Origins of Order, Self-Organization and Selection inEvolution, [459]

The Spark of Life, Darwin and the Primeval Soup, [1347]

total 14 books

4.2 Journal articles

The following list contains the references to everyjournal article included in this bibliography. Thelist is arranged in alphabetical order by the nameof the journal.

?, [1502]

Acad. Radiol., [926]

Academic Open Internet Journal, [716]

Accident Analysis and Prevention, [1635, 1636]

ACOUSTICA, [945]

Acta Crystallographica Section D, Biological Crystallogra-phy, [1368]

Acta Crystallographica Section D: Biological Crystallogra-phy, [1429]

Acta Forestalia Fennica, [594]

Adaptive Behavior, [193, 125]

Advances in Water Resources, [441]

Agricultural Sciences in China, [40]

Agricultural Water Management, [22]

AI Applications, [582]

Am. J. Trop. Hyg., [1086]

American Journal of Mathematical and Management Sci-ences, [357]

American Naturalist, [205]

American Scientist, [323]

Anal. Chem., [436]

Analytica Chimica Acta, [1318, 438, 993, 166, 167]

Analytical Chemistry, [614, 176, 1215]

Animal Science and Technology, [250]

Ann. Otol. Rhinol. Laryngol., [1233]

Annals of Biomedical Engineering, [990, 1000]

Annals of the New York Academy of Sciences, [511]

Annual Review of Biophysics and Biomolecular Structure,[1274]

Applied and Environmental Microbiology, [18]

Applied Artificial Intelligence, [122]

Applied Optics, [1028]

Applied Soft Computing, [523, 529, 1135]

Applied Spectroscopy, [15]

Aquatic Ecology, [439]

Arpakannus, [1378]

Artificial Intelligence in Medicine, [964, 970, 974, 978, 985,

1016, 1182, 1198, 908, 1249, 1251]

11


Artificial Intelligence Review, [487]

Artificial Life, [1186, 139]

Artificial Organs, [948]

Artificila Intelligence in Medicine, [1129]

ASAIO Journal, [1030, 1047, 1074]

Atmospheric Environment, [443]

Atmospheric Environment Part A General Topics, [391]

Australian Journal of Experimental Agriculture, [65, 65]

Behavior Research Methods, Instruments and Computers,[1631]

Behavioural Ecology and Sociobiology, [191]

Biochemistry, [1304, 1178, 1541]

Biochimica et Biophysica Acta – Protein Structure andMolecular Enzymology, [1568]

Biodiversity Science, [42]

Bioinformatics, [1402, 225, 162, 1049, 366, 182]

Biological Cybernetics, [449, 451, 241]

Biomed. Sci. Instrum., [636]

BioMedical Engineering OnLine, [798]

Biomedical Signal Processing and Control, [1117]

Biomedical Soft Computing and Human Sciences, [967]

Biomedizinische Technik, [953]

Biophysical Chemistry, [1401, 604]

Biophysical Journal, [1398, 1454, 1468, 1514, 1574]

Biophysics Journal, [172, 609]

Biopolymers, [1317, 1543]

BioScience, [287]

BioSystems, [186, 214, 613, 248, 616, 260, 272,

1617, 386]

Biosystems Engineering, [31, 36, 38, 39, 41]

Biotechnol Prog, [1560]

BMC Bioinformatics, [1025, 228]

Brachytherapy, [1113]

Brazilian Journal of Biology, [591]

British Journal of Psychology, [1633]

Bull. Fac. Eng. Univ. Ryukyus (Japan), [927]

Bulletin of the Polish Academy of Sciences, Technical Sci-ences, [1073]

Canadian Aeronautics and Space Journal, [484]

Canadian Journal of Fisheries and Aquatic Sciences, [240]

Canadian Journal of Forest Research, [590]

Cancer J. Sci. Am., [634]

Cancer Letters, [1157, 1187]

Cardiovascular Engineering, [1062, 760]

Chem. Res. Toxicol., [1236]

Chemical & Engineering News, [1394]

Chemical Innovation, [1271]

Chemical Physics Letters, [1343]

Chemical Reviews, [1555]

Chemistry & Industry, [385]

Chemistry and Biology, [1153]

ChemMedChem, [1123]

Chemometrics and Intelligent Laboratory Systems, [93,

1527, 1612, 1254, 1624]

Chin. Sci. Bull, [1298]

Chin. Sci. Bull., [1561]

Chinese Chemical Letters, [1533]

Cladistics, [203]

Communications in Statistics - Theory and Methods, [778]

Communications of the ACM, [187]

Complex Systems, [448]

Complexity (USA), [542]

Comput. Appl. Biosci., [600]

Comput. Electron. Agric., [59]

Comput. Electron. Agric. (Netherlands), [77, 80, 81, 89]

Comput. Methods Programs Biomed., [201]

Computational and Biological Chemistry, [1400]

Computer, [408]

Computer Applications in the Biosciences (CABIOS),[1450, 610]

Computer Methods and Programs in Biomedicine, [1345,

1003, 705, 707, 740, 743, 1099, 1105, 1208]

Computer Methods in Applied Mechanics and Engineering,[482]

Computer Today, [316]

Computer Vision and Image Understanding, [800, 870]

Computer-Aided Innovation of New Materials, [1328]

Computerized Medical Imaging and Graphics, [672, 115,

736, 763, 777]

Computers & Chemistry, [171, 340]

Computers & Mathematics with Applications, [943]

Computers & Chemistry, [998]

Computers and Electronics in Agriculture, [32, 35, 50, 76, 79]

Computers Chem., [1443]

Computers in Biology and Medicine, [195]

Computers in Cardiology, [885]

Computing in Science & Engineering, [1372]

Control Cybern. (Poland), [1184]

Control Eng. Pract., [62]

Control Engineering Practice, [1191]

Critical Care Medicine, [1245]

CSC News, [1625]

Current Opinion in Biotechnology, [1270, 492]

Current Opinion in Structural Biology, [1330, 1484, 1509,

1609]

Current Science, [289, 1103]

DARU, [1414]

Diabetes & Metabolism, [802]

Discrete Applied Mathematics (Netherlands), [341]

Diversity and Distribution, [231]

Drug Discovery Today, [1282]

Ear & Hearing, [1046, 1081]

Ecological Modelling, [1078]

Journal articles 13

Electr. Mach. Power Syst. (USA), [147]

Electronics Letters, [851, 1194, 925]

Endocrinology, [1065]

Endocytobiosis and Cell Research, [1486]

Eng. Intell. Syst. Electr. Eng. Commun. (UK), [420]

Engineering Applications of Artificial Intelligence, [442]

Engineering Optimization, [809]

Environ. Model. Softw. (UK), [424]

Environmental Health Perspectives, [1120]

Environmental Progress & Sustainable Energy, [404]

Environmental Science & Technology, [410]

Ethology and Sociobiology, [234]

EURASIP Journal on Advances in Signal Processing, [1097]

Europace, [1058]

European Journal of Gastroenterology & Hepatology,[1045]

European Journal of Operational Research, [513, 1087]

Europhysics Letters, [563]

Evolution, [220]

Evolutionary Computation, [477, 1634]

Evolutionary Ecology Research, [199, 212]

Expert Opinion on Therapeutic Patents, [1287]

Expert Systems with Applications, [755, 526, 1134, 530]

Folding and Design, [1488, 1569]

Forest Ecology and Management, [584]

Forest Science, [586]

Forschung Komplementarmedizin Klass Naturheilkd, [630]

Fortschrittsberichte der VDI-Zeitschriften, [938]

Frontiers in Ecology and the Environment, [403]

Fujitsu Sci. Tech. J. (Japan), [342]

Functional Ecology, [263]

Fuzzy Sets and Systems, [479]

Gaodeng Xuexiao Huaxue Xuebao, [1530]

Genetic Programming and Evolvable Machines, [108, 315,

1083, 1092, 1093, 1094, 750]

Genome Inf. Ser., [1495]

Guang pu Xue yu Guang pu fen xi = Guang pu, [43, 45,

46, 49, 52, 56]

Health Physics, [1177]

Helsingin Sanomat, [103]

Huaxue Jinzhan, [1288]

Hum. Hered., [972]

Human Feredity, [1060]

IEE Proceedings, Vision, Image, Signal Processing, [835]

IEEE Computational Intelligence Magazine, [806]

IEEE Computational Science and Engineering, [1542]

IEEE Control Systems Magazine, [21, 24]

IEEE Eng. Med. Biol., [839]

IEEE Engineering in Medicine and Biology, [1009, 924]

IEEE Engineering in Medicine and Biology Magazine, [642]

IEEE Expert, [242]

IEEE Spectrum, [1366]

IEEE Transaction on Evolutionary Computation, [671]

IEEE Transactions on Biomedical Engineering, [949, 971,

657, 659, 683, 1080, 792, 811, 1155, 1169, 896]

IEEE Transactions on Evolutionary Computation, [1355,

488, 656, 764, 129, 556]

IEEE Transactions on Fuzzy Systems, [994]

IEEE Transactions on Geoscience and Remote Sensing,[27, 37]

IEEE Transactions on Industrial Electronics, [118]

IEEE Transactions on Information Technology inBiomedicine, [631, 1350, 688, 783, 1244]

IEEE Transactions on Instrumentation and Measurement,[723]

IEEE Transactions on Knowledge and Data Engineering,[150]

IEEE Transactions on Magnetics, [710, 766, 1218]

IEEE Transactions on Medical Imaging, [621, 664, 666, 676,

737, 807, 836, 846, 880, 891, 915]

IEEE Transactions on Microwave Theory and Techniques,[644]

IEEE Transactions on Neural Networks, [1269, 638, 531,

1168, 1197]

IEEE Transactions on Nuclear Science, [1226, 1232]

IEEE Transactions on Power Systems, [112, 425]

IEEE Transactions on Speech and Audio Processing, [1011]

IEEE Transactions on Systems, Man and Cybernetics - PartB: Cybernetics, [494]

IEEE Transactions on Systems, Man, and Cybernetics,[124]

IEEE Transactions on Systems, Man, and Cybernetics B,Cybernetics, [128]

IJCSNS International Journal of Computer Science andNetwork Security, [121]

IMA Journal of Mathematics Applied in Medicine and Bi-ology, [349]

Image and Vision Computing, [622, 654, 26, 713, 731, 906]

In Silico Biology, [1417]

Information Processing Letters, [944]

Information Sciences, [486, 527]

Int. J. Artif. Intell. Neural Netw. Complex Probl.-SolvingTechnol. (Netherlands), [1216]

Int. J. Biomed. Comput. (Ireland), [1139]

Int. J. Med. Inf., [975]

Int. J. Prod. Econ. (Netherlands), [430]

Int. J. Radiat. Oncol. Biol. Phys., [955, 1235, 1259]

Intelligent Data Analysis, [473]

Interciencia, [251]

International Journal for Numerical Methods in Engineer-ing, [1415]

International Journal of Biological and Life Sciences, [934]

International Journal of Biological Macromolecules, [615]

International Journal of Biomedical Imaging, [752]

International Journal of Computational Intelligence andApplications , [779]


International Journal of Computer Mathematics, [646]

International Journal of Computer Science and Network Se-curity, [746, 746]

International Journal of Control, [1164]

International Journal of Food Science and Technology,[1416]

International Journal of Geriatric Psychiatry, [991]

International Journal of Health Geographics, [1102, 1108,

1109, 1118]

International Journal of Healthcare Technology and Man-agement, [1119]

International Journal of Imaging Systems and Technology,[751]

International Journal of Medical Robotics and ComputerAssisted Surgery, [808]

International Journal of Modern Physics C, [647, 1004]

International Journal of Peptide and Protein Research,[602]

International Journal of Power and Energy Systems, [400]

International Journal of Production Research, [499]

International Journal of Quantum Chemistry, [1310]

International Journal of Radiation Oncology*Biology*Physics,[1026]

International Journal of Reconfigurable Computing, [757]

International Journal of Systems Science, [528]

International Journal of VLSI Design & CommunicationSystems (VLSICS), [814]

International Journmal of Biological and Life Sciences,[739]

International Transactions in Operational Research, [491]

Israel Journal of Chemistry, [1425]

ITB Journal of Science, [51]

J. Agric. Engng Res., [25]

J. Biomol. Struct. Dyn., [296, 298]

J. Chin. Pharm. Sci., [1564]

J. Clin. Neurophysiol, [1248]

J. Comput. Chem, [274]

J. Comput. Chem., [1588]

J. Environ. Eng. (Reston, Va.), [429]

J. Gerontol. A. Biol. Sci. Med. Sci., [968]

J. Inst. Electron. Eng. Korea S (South Korea), [875, 573]

J. Med. Chem., [1605]

J. Mol. Biol., [1611]

J. Mol. Model., [1267]

J. Neuroimaging, [918]

J. Protein Chem, [1623]

J. Protein Chem., [1622]

J. Sci. Food Agric., [83]

J. Theor. Biol., [273]

Joho Shori, [1489, 1499]

Journal of Advanced Computational Intelligence and Intel-ligent Informatics, [782]

Journal of Agricultural Engineering Research, [16]

Journal of Andrology, [1166]

Journal of Applied Clinical Medical Physics, [1008]

Journal of Applied Physiology, [1205]

Journal of Artificial Intelligence Research, [1151]

Journal of Biomedical Optics, [1059, 793]

Journal of Biomolecular NMR, [1474, 1491, 350]

Journal of Biomolecular Structure & Dynamics, [1339, 1546]

Journal of Biomolecular Techniques, [1576]

Journal of Biosciences, [301]

Journal of Chemical Information and Computer Sciences,[1319, 152, 1371, 1422, 1516, 1536, 1572, 1580, 1209, 1593,

1594, 1598, 1615]

Journal of Chemical Information and Computing Science,[1295, 1627]

Journal of Chemical Physics, [1370, 1537]

Journal of Chemometrics, [1034, 34, 1127]

Journal of Clinical Neurophysiology, [1246]

Journal of Computational Chemistry, [1311, 1312, 1340,

1412, 1276, 1470, 1471, 1481, 1507, 1519, 1524, 1535]

Journal of Computer and System Sciences, [370]

Journal of Computer-Aided Molecular Design, [1264, 1265,

173, 605, 608, 611, 1552, 179, 1591, 1618]

Journal of Craniofacial Surgery, [1041, 1067]

Journal of Economic Behaviour and Organization, [464]

Journal of Electronic Imaging, [695]

Journal of Evolutionary Biology, [215]

Journal of Food Engineering, [54]

Journal of Food Microbiology, [219]

Journal of General Virology, [1192]

Journal of Global Optimization, [1314]

Journal of Heuristics, [732]

Journal of Indian Council of Philosophical Research, [1632]

Journal of Insect Science, [1111]

Journal of Japanese Society for Artificial Intelligence, [283]

Journal of Magnetic Resonance, [748]

Journal of Management in Engineering, [399]

Journal of Mechanics in Medicine and Biology, [1133]

Journal of Medical Entomology, [1063, 720, 1098]

Journal of Medical Physics, [1104]

Journal of Medical Systems, [999, 1126]

Journal of Medicinal Chemistry, [1413, 168, 1469, 1558, 1567]

Journal of Microbiological Methods, [230]

Journal of Molecular Biology, [1327, 1346, 1357, 1399, 1426,

606, 612, 617, 1528, 1538, 1545]

Journal of Molecular Catalysis, [163]

Journal of Molecular Evolution, [206, 271]

Journal of Molecular Graphics, [599]

Journal of Molecular Graphics and Modelling, [1387, 1116,

1532, 1579]

Journal of Molecular Modeling, [1521]

Journal of Molecular Modelling, [1526]

Journal of Molecular Structure: THEOCHEM, [169, 1578]

Journal of National University of Defence Technology, [496]

Journal articles 15

Journal of Near Infrared Spectroscopy, [1100]

Journal of Near-Infrared Spectroscopy, [30]

Journal of Neural Engineering, [1114]

Journal of Neuroscience Techniques, [842]

Journal of Orthopaedic Research, [1066]

Journal of Parallel and Distributed Computing, [687]

Journal of Pharmaceutical and Biomedical Analysis, [1128]

Journal of Phase Equilibria, [497]

Journal of Phase Equilibria and Diffusion, [520]

Journal of Physical Chemistry, [1436, 170]

Journal of Signal Processing Systems for Signal Image andVideo Technology, [799]

Journal of Southeast University, [302]

Journal of the American Chemical Society, [1534]

Journal of the American Mosquito Control Association,[1115]

Journal of the Chemical Society – Perkin Transactions 1,[1515]

Journal of the Operational Research Society, [113]

Journal of Theoretical Biology, [458, 1329, 288, 304, 493, 603,

245, 618, 253, 259, 261, 262, 376, 184, 269, 270]

Journal of Vector Ecology, [1084]

Jpn. J. Med. Electron. Biol. Eng. (Japan), [886]

Laboratory Investigations, [1039]

Lancet, [1159]

Laryngoscope, [1096]

M. D. Comput. (USA), [1154]

Machine Learning, [338, 566]

Magnetic Resonance Imaging, [854, 907, 923]

Magnetic Resonance in Medicine, [694]

MATCH – Communications in Mathematical and in Com-puter Chemistry, [1291]

Mathematical and Computer Modelling, [1106]

Measurement Science & Technology, [823, 833]

Med Phys, [1068, 1101, 1110]

Med. Biol. Eng. Comput., [1229]

Med. Dosim., [961]

Med. Eng. Phys., [1252]

Med. Image Anal., [873]

Med. Imaging Technol. (Japan), [864, 894]

Med. Phys., [1247]

Med. Phys. (USA), [874]

Medical & Biological Engineering & Computing, [675, 1207]

Medical Engineering & Physics, [960, 963]

Medical Engineering and Physics, [1193]

Medical Image Analysis, [674]

Medical Imaging Technology, [790]

Medical Physics, [977, 983, 995, 668, 1027, 735, 1124,

1160, 1165, 845, 1172, 1176, 866, 881, 889, 1242]

Mem. Inst. Oswaldo Cruz, [1089]

Metabolomics, [1054]

Methods of Information in Medicine, [950, 1038, 1243]

Microcomput. Civ. Eng. (USA), [545]

Microwave and Optical Technology Letters, [490]

Mol. Med. Today, [1231]

Mol. Pharmacol., [1301]

Molecular Biology and Evolution, [216]

Molecular Ecology, [229]

Molecular Simulation, [1439]

Molecular Simulations, [1583]

Natural Computing, [524]

Nature, [293, 295, 307, 210, 213, 217, 221]

Nature Biotechnology, [305, 306, 1556, 383]

Nature Reviews, Genetics, [518]

Nature Structural Biology, [1620]

Nature-Structural Biology, [1278]

Neural Computat. Appl., [1559]

Neural Computing & Applications, [797, 816]

Neural Processing Letters, [508, 252]

NeuroComputing, [398]

Neurocomputing (Netherlands), [1219]

NeuroImage, [690]

Neuropsychobiology, [1181, 1199]

Nippon Kikai Gakkai Ronbunshu C Hen, [1174]

Nucl. Med. Commun, [1241]

Nucleic Acids Research, [159, 607, 344]

Nucleid Acids Research, [380]

Nursing Research, [1079]

Opt. Rev. (Japan), [865]

Optical Engineering, [579]

Optics and Laser Engineering, [1052]

Pacific Symposium on Biocomputing’97, [1523]

Pattern Analysis & Applications, [658]

Pattern Recognition, [1196]

Pattern Recognition Letters, [109, 110, 712, 724, 863]

Pharmaceutical Research, [1573]

Philosophical Transactions of the Royal Society of LondonB Biological Sciences, [265]

Phys Med Biol, [1020]

Phys. Med. Biol., [989, 1006, 1234]

Physica D, [188, 533, 536]

Physical Review E, [1608]

Physical Review Letters, [309, 577]

Physics in Medicine & Biology, [976]

Physics in Medicine and Biology, [1001, 667, 1015, 1033]

Phytochemistry, [223]

PLoS Computational Biology, [1090]

PLoS ONE, [1121]

PLoS One, [232]

Power Engineering Journal, [105]

PRL, [222]

Proc. AMIA Symp, [1253]

Proc. Assoc. Advmt. Anim. Breed. Genet, [20, 23, 73, 90]


Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture, [1056]

Proceedings of the National Academy of Sciences of theUnited States of America, [17, 303, 308, 211, 310, 1385,

313, 1389, 324, 227, 1420, 1423, 1433, 1475, 1557, 1585]

Proceedings of the Royal Society of London Series B Bio-logical Sciences, [264]

Progress in Electromagnetics Research, [680]

Progress in Physical Geography, [401]

Protein Eng., [1602, 1619]

Protein Engineering, [1302, 1440, 1459, 1487, 1554, 1563]

Protein Journal, [1421]

Protein Science, [1336, 1337, 1382, 601, 1463, 1510,

1513, 1540, 1571]

Proteins, [1351, 1354, 1403]

Proteins: Structure, Function, and Genetics, [1363, 1380,

1393, 1446, 1464, 1478, 1496, 1171, 1529, 1548, 1550, 1565,

1570, 1575, 1600, 1613]

Proteomics, [1112]

Psychometrika, [1239]

Quantitative Structure-Activity Relationships, [1438, 1452]

Random Struct. Algorithms (USA), [267]

Real-Time Imaging, [218]

Recent Research in Science and Technology, [805]

Researches on Population Ecology, [258]

Revista Conntrole & Automacao, [517]

Revista da Sociedade Brasileira de Medicina Tropical,[1029]

Robotica, [1017]

SAR and QSAR in Environmental Research, [1587]

Scandinavian Audiology, [986]

Science, [292, 208, 209, 107, 312, 314, 1606]

Scientia et Technica Ano, [1125]

Scientific American, [97, 1480, 375]

Scientific Computing World, [157]

Seisan Gijutsu, [372]

Sensing and Instrumentation for Food Quality and Safety,[47]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, [765]

SIAM Review, [1547]

Signal Processing, [859]

Silva Fennica, [585]

Soft Computing, [300]

Soil Biology & Biochemistry, [402]

Spectrochimica Acta Part A. Molecular and BiomolecularSpectroscopy, [44]

Stud. Health Technol. Inform., [1255]

Supramol. Chem., [1479]

Systems and Computers in Japan, [913]

Tekniikka & Talous, [326]

The Analyst, [164]

The International Journal of Medical Robotics and Com-puter Assisted Surgery, [1122]

The Journal of Chemical Physics, [1383, 1408, 1409, 1500,

1586]

The Journal of Physical Chemistry B, [181]

The Journal of the Acoustical Society of America, [362, 876]

The Scientific World Journal, [813]

Theoretical Chemistry Accounts, [1411]

Theory of Computing Systems, [384]

Therapeutic Drug Monitoring, [1237]

Tietovayla, [588]

Trans. Inf. Process. Soc. Jpn., [1482]

Trans. Inst. Electr. Eng. Jpn. C (Japan), [1217]

Transactions of the ASAE, [29]

Transactions of the Information Processing Society ofJapan, [345, 346]

Transactions of the Institute of Electronics, Information andCommunication Engineers A (Japan), [71]

Transactions of the Royal Society of Tropical Medicine andHygiene, [1037]

Transactions of the Society of Instrument and Control En-gineers (Japan), [58]

TREDS in Biotechnology, [275]

Trends in Biotechnology, [1483, 381]

Vector Borne Zoonotic Diseases, [1091]

Wall Street Journal, [183]

Water Research, [390]

Water Resources Bulletin, [393]

Water Resources Research, [437, 406]

Water Sci. Technol., [427]

Water Science and Technology, [422]

World Academy of Science, Engineering and Technology,[703]

Zeitschrift fur Psychosomatische Medizin und Psychoanal-yse, [1136]

total 825 articles in 464 series

4.3 Theses

The following two lists contain theses, first PhDtheses and then Master’s etc. theses, arranged inalphabetical order by the name of the school.

PhD theses 17

4.3.1 PhD theses?, [957]

Ecole Polytechnique Federale de Lausanne, [1010]

Boston University, [1410]

Case Western Reserve University, [160, 700, 702]

Cornell University, [1626]

Drexel University, [1161]

Duke University, [633]

Gazi University, [1061]

Harvard University, [1461]

Helsinki University of Technology, [505, 431]

Louisiana State University, [1072, 754]

McGill University, [1621]

New Jersey Institute of Technology, [202]

North Carolina State University, [1391]

Oregon State University, [74]

Purdua University, [697]

Queen’s University at Kingston, [1289]

Rensselaer Polytechnic Institute, [1367]

Rijksuniversiteit Groningen, [992]

State University of New York at Buffalo, [1285]

Swedish University of Agricultural Sciences, [226]

Syracuse University, [321]

Tampere University of Technology, [682]

Texas A and M University, [247]

The Pennsylvania State University, [1315]

The Scripps Research Institute, [1369]

The University of Iowa, [1051]

The University of Manitoba, [1386]

The University of Michigan, [1148]

The University of Texas at Arlington, [116]

The University of Texas at Austin, [200]

Universite de Montreal, [1404]

University in Taiwan, [1392]

University of California, [1360, 1277, 1286, 1544]

University of Canterbury, [733]

University of Georgia, [1284]

University of Helsinki, [583]

University of Louisville, [1281]

University of Michigan, [190, 453, 151, 1011]

University of Minnesota, [941]

University of Paris 7, [1445]

University of Pennsylvania, [1379, 1206]

University of Reading, [498]

University of Tampere, [655]

University of the West of England, [1384]

University of Vaasa, [803]

Utah State University, [63]

Wayne State University, [1140]

total 59 thesis in 48 schools

4.3.2 Master’s theses

This list includes also “Diplomarbeit”, “Tech. Lic.Theses”, etc.

Air Force Institute of Technology, [1388, 1428]

Chalmers University of Technology, [1055]

Helsinki University of Technology, [396]

Rice University, [825]

Simon Fraser University, [1418]

University of Georgia, [587]

University of Helsinki, [1628]

University of Kuopio, [1189]

West Virginia University, [708]

Wright-Patterson AFB, [1466]

total 11 thesis in 10 schools


4.4 Report series

The following list contains references to all pa-pers published as technical reports. The list isarranged in alphabetical order by the name of theinstitute.

Brandeis University, [554]

Departamento de Engenharia Eltrica, [791]

Georgia Institute of Technology, [1630]

Helsinki University of Technology, [1170]

Institute for New Generation Computer Technology, [1313,281, 282, 333]

International Computer Science Institute, [550]

Katholieke Universiteit Leuven, [1095]

Massachusets Institute of Technology, [1320]

Ohio State University, [467]

Sandia National Laboratories, [1263]

Santa Fe Institute, [194]

Tierarztliche Hochschule Hannover, [192]

Universidade de Sao Paulo, [1390]

Universite de Bruxelles, [134]

University of California, [456]

University of Cambridge, [1503]

University of Maryland, [1322, 1323]

University of Michigan, [276]

University of New Brunswick, [1268]

University of Vaasa, [91, 581, 1262, 1629]

total 27 reports in 20 institutes

4.5 Patents

The following list contains the names of thepatents of genetic algorithms in biosciences. Thelist is arranged in alphabetical order by the nameof the patent.

Apparatus and method for determining optimal locationsto place radioactive seeds at a cancerous site, [958]

Automated material balance system for hydrocarbon reser-voirs using a genetic procedure, [153]

Gabor filtering for improved microcalcification detection indigital mammograms, [643]

Genetic algorithms for optimization of genome-based med-ical diagnostic tests, [1085]

High throughput screening method and system, [156]

Joint optimization of parameters for the detection of clus-tered microcalcifications in digital mammograms,[665]

Method and device for calculating optimization solution ofmultiple mutant protein amino acid sequence, andstorage medium where program for executing themethod is stored, [1373]

Method and system for automated detection of clusteredmicrocalcifications from digital mammograms, [917]

Method and system for combining automated detectionsfrom digital mammograms with observed detectionsof a human interpreter, [641]

Method and system for segmentation and detection of mi-crocalcifications from digital mammograms, [645]

Method and system for segmenting desired regions in digitalmammograms, [637]

Method for detecting highly functional polypeptides or nu-cleic acids, [1610]

Method for searching for peptides and process for producingcompounds, [1616]

Methods and targets of antibiotic resistance, [155]

Non-linear genetic process for use with co-evolving popula-tions, [461]

Non-linear genetic process for use with plural co-evolvingpopulations, [462]

Optimal parameter selection fir the detection of clusteredmicrocalcification in digital mammograms, [662]

Optimum solution method, hearing aid fitting apparatusutilizing the optimum solution method, and sys-tem optimization adjusting method and apparatus,[997]

Prostate implant planning engine for radiotherapy, [1002]

total 19 patents

Authors 19

4.6 Authors

The following list contains all genetic algorithms in biosciences authors and references to their knowncontributions.

Abbattista, Fabio, [123]

Abkevich, Victor I., [1585]

Abolfath, R. M., [1110]

Abramavicius, D., [1420]

Accornero, N., [935]

Acharya, R. S., [1138, 1147]

Achim, Moise, [397]

Adamec, J., [1071]

Adamopoulos, A. V., [1007, 1018]

Adar, Rivka, [307, 324]

Addis, Tom, [1338]

Adhikari, D., [1103]

Adjemian, J. C. Z., [720]

Adjeroh, Donald, [717]

Adleman, Leonard M., [314, 375]

Adler, Dorit D., [845, 1175,889]

Adler, M., [1354]

Aert, A. H. J. M. van, [284]

Afifi, Ahmed, [790]

Agnew, Kelly Kathleen, [200]

Agostini, Luigi, [1401]

Aguilar, Guillermo, [1059]

Aguilar, J., [903]

Aguilar, R., [705]

Ahlfeld, David P., [394]

Ahmad, Sabbir U., [973, 1117]

Ahmed, M. N., [1190]

Ahmed, Mohamed N., [861]

Ahmed, S., [861]

Aikimbayev, Alim, [1121]

Ait-Aoudia, Samy, [745, 761]

Aittokallio, Tero, [222]

Aizenberg, I., [654]

Aizenberg, N., [654]

Ajay, N., [1471]

Ajlouni, N., [546]

Akhtari, M., [842]

Akiyama, Yutaka, [607]

Alachiotis, N., [233]

Alander, Jarmo T., [1344, 1365,1378, 504, 509, 1100, 759, 1628,932, 91, 933, 1261, 581, 1262, 1629,471]

Alayon, S., [705]

Albani, C., [1179, 1220]

Albertelli, L., [1221]

Albery, W. John, [1304]

Albuquerque, Magaly, [1534]

Alderliesten, Tanja, [1057]

Alektiar, K. M., [955]

Alexandrov, D., [137]

Ali, Fath El Alem Fadlallah, [869, 927]

Ali, Fath El Alem F., [879]

Ali, M. M., [480]

Alippi, Cesare, [408]

Alkhalifa, A. Y., [1180]

Allouche, Omri, [231]

Alolfe, Mohamed A., [722]

Alolfe, Mohammed A., [739]

Al-Rawi, Mohammed, [740]

Altona, Cornelis, [350]

Alvarez, Serafın, [22]

Alves Honorio, Nildimar,[1084]

Aly, Nabil M., [750]

Amari, Sun-ichi, [936]

Amburn, Philip, [637, 641,645, 662, 917]

Ames, Forrest, [780, 788, 793]

Amin, H., [736]

Amir, A., [1599]

Amir, Amihood, [1582]

Ammar, Hany, [717]

Amols, Howard I., [1008]

Analoui, Mostafa, [724]

Anand, Christopher Kumar, [752]

Anastasio, M. A., [874, 915]

Anastasio, Mark A., [966]

Anbarasu, L. A., [289]

Ancel, Lauren W., [270]

Anderson, Jonathan D., [1097]

Anderson, Julie, [780, 788, 793]

Andre, David, [1581]

Andreu, J. M., [1574]

Andreu, Jose M., [1357]

Andrews, B. J., [1252]

Andris, Peter, [888]

Angel, Pedro L. de, [660]

Angeletti, Cesar, [1039]

Angeline, Peter J., [1223, 1230,447, 466, 467]

Annaluru, Rajeev, [114]

Anninos, P. A., [1007, 1018]

Anon., [316, 326,1280, 183]

Antsaklis, Panos, [21]

Anxolabehere, Dominique, [304]

Applegate, Bruce, [275]

Arafuka, M., [1143]

Arakaki, Kouichi, [853, 865]

Aral, M. M., [413]

Arambula Cosıo, F., [1024]

Araujo, Miguel B., [401]

Archetti, Francesco, [1083]

Archibald, James K., [1097]

Arciniegas, Fabio, [1272]

Argos, Patrick, [1426, 1448,615, 617, 1563, 1302, 1303]

Ariana, Diwan, [47]

Arif, Chusnul, [51]

Arif, M., [727, 746,746, 749, 751, 762]

Arita, Masanori, [294, 225]

Arkin, A. P., [1321]

Arnold, Mark A., [614, 176,1215]

Arslanian-Engoren, Cynthia, [1079]

Artymiuk, Peter J., [1393, 1552]

Arus, C., [837]


Asai, K., [1489]

Asai, Kiyoshi, [333, 345, 347]

Ashlock, Dan, [318]

Aspnas, Anders, [1490]

Asvestas, P. A., [668]

Atmar, J. Wirt, [531]

Au, M., [534]

Aukee, Pauliina, [1224]

Aung, Min S. H., [792]

Aupetit, Sebastien, [120]

Auramo, Yrjo, [986]

Austin, E. M., [1056]

Autere, Antti, [1100]

Aylward, S., [670]

Azad, Abdul, [155]

Azok, Joseph, [1112]

Baba, Norio, [560]

Baba, Roshidad, [1130]

Babenko, Vladimir, [366]

Bach, Eric, [370]

Back, Thomas, [388]

Backer, E., [474]

Backofen, Rolf, [1359, 1361,348]

Bada, Jeffrey, [1347]

Baek, Dong Hyun, [499]

Bael, P. Van, [979]

Baerdemaeker, Josse De, [38, 41, 76]

Bahls, Loren L., [403]

Bai, Baodong, [766]

Bajcsy, Ruzena, [1129]

Bajorath, Jurgen, [152]

Baker, J. A., [850]

Baker, Philip N., [1054]

Bakhtiari, Mohammad, [1104]

Baldi, Fabio, [1045]

Baleja, James D., [1178, 1541]

Balestra, Gabriella, [1133]

Ballerini, Lucia, [1023, 696,701, 884, 914, 928, 930, 931]

Baltas, D., [1013, 1014,1242, 1247]

Baluja, S., [1216]

Bandaru, Sunith, [781]

Bangalore, Arjun S., [614]

Banghua, Yang, [730]

Bansal, A., [349]

Banzhaf, Wolfgang, [656, 518]

Bao, Y. D., [46]

Barba, Dominique, [83]

Barbosa, Helio J. C., [572]

Barik, S. K., [1103]

Barman, N., [497]

Baronti, Flavio, [1035]

Barricelli, N. A., [458]

Barrios, Victor, [619, 620]

Barros de Aguiar, Ducineia, [1084,1089]

Barta, Z., [263]

Barta, Zoltan, [264]

Bartels, Christian, [1491]

Bartenstein, P., [827]

Bartholomay, Lyric C., [1111]

Bartlett, Karen, [1120]

Bar-Ziv, Roy, [313]

Baskaran, Subbiah, [248]

Baskent, Deniz, [1081]

Bass, Michael B., [1492]

Bast, T., [1248]

Bast, Thomas, [1246]

Bastos, Bernardo, [92]

Batali, J., [1634]

Batenburg, F. H. D. van, [603]

Batenburg, F. H. van, [606]

Bath, P. A., [968]

Batouche, Mohamed, [512]

Battezzato, Alessandro, [1122]

Bauer, A., [135]

Bauer, J. T., [1063]

Baum, Karl G., [721, 738, 756]

Baumgart-Schmitt, R., [1181, 1199]

Bavilacqua, A., [647]

Baylay, Martin J., [1571]

Bayley, Hagan, [1498]

Baylink, D. J., [1231]

Bean, James C., [276]

Beatty, P. C. W., [969]

Beck, C. W., [199]

Beck, Christopher W., [212]

Becker, Kay, [1141]

Beckerman, Barbara G., [1107]

Beckers, Mischa L. M., [340, 350]

Beckett, L., [720]

Beckmann, Manfred, [230]

Beebe, N. W., [1063, 1078]

Beeson, Nicholas Welborn, [1461]

Behera, Narayan, [618, 261]

Beiersdorfer, Susanne, [1525]

Beigel, R., [351]

Beigel, Richard, [367]

Belew, Richard K., [1364, 1588,448]

Belien, Jeroen, [1095]

Beligiannis, G. N., [1007, 1018]

Bell, Graham, [205, 213]

Bellon-Maurel, Veronique, [15]

Benatcha, Karima, [119]

Benche, I., [693]

Benedetti, G., [604]

Benedetti, Manuel, [723]

Benedict, Mark Q., [1091]

Benenson, Yaakov, [307, 324]

Benezeth, Y., [1132]

Benkhelat, Nadjib, [119]

Benkovic, Stephen J., [383]

Benner, Steven A., [1555]

Bennett, Kristin P., [1272]

Bennett, Kristin, [1273]

Bennett III, Forrest H., [126, 1581]

Benson, Gary, [380]

Berg, Patrick, [1246]

Berg, P., [1248]

Bergen, Stuart W. A., [1117]

Berger, S. A., [233]

Bergman, L. D., [1518]

Berkey, Telford S., [637, 641,645, 662, 917]

Berlanga, A., [472]

Bertrand, Dominique, [83]

Authors 21

Bertrand, Louise, [709]

Bes, F., [1181]

Beslon, Guillaume, [518]

Best, J. A., [1065]

Bettinger, Pete, [585]

Beutler, T. C., [1513]

Bevilacqua, A., [1004]

Bevilacqua, V., [698]

Bevilacqua, Vitoantonia, [794]

Bhakoo, Manmohan, [1591]

Bhat, Ajita Atul, [1284]

Bhatt, P., [497]

Bhattacharya, Mahua, [741, 797, 801]

Bhattacharyya, Shuvra S., [757, 772]

Bidaud, Philippe, [669]

Bigdeli, H., [1211, 1225]

Billiter, Martin, [1491]

Bini, M., [892]

Biondi, J., [243]

Birge, Robert R., [1480]

Blackburn, Jason K., [1086, 1121]

Blackburn, Jason Kenna, [1072]

Bladen, K. R., [651]

Blair, Alan D., [557, 566, 571]

Blake, James F., [1387]

Blanch, Ewan W., [164]

Blanchet, Max, [936]

Blasco, X., [39]

Blazewicz, Jacek, [320]

Blommers, Marcel J. J., [284, 285,1317]

Bloy, Luke, [1275]

Blumberg, A. J., [352]

Bocchi, L., [1023, 701]

Boden, Ida, [932, 933]

Boettcher, Stefan, [483]

Boggess, J. E., [84]

Bojan, Vinoth Kumar, [1131]

Bojarczuk, Celia C., [1019]

Bonabeau, Eric, [97, 136]

Bond, Alan B., [210]

Boneh, D., [341]

Bonelli, Pierre, [937]

Bong, Chin Wei, [809]

Booth, V., [1219]

Borchardt, D., [439]

Bornberg-Bauer, Erich, [1389, 1493,1522]

Bornholdt, Stefan, [309]

Boryczka, M., [131]

Boryczka, U., [104, 131]

Bosco, Giosue Lo, [218]

Bosman, Peter A. N., [1057]

Boston, Kevin, [585]

Boughton, Edward M., [1157, 1184,1223, 1230]

Boukir, Yacine, [119]

Bouma, Brett E., [1062, 760]

Bounsaythip, Catherine, [598]

Bourgeois-Republique, C., [1040]

Bourgeois-Republique, Claire, [1092]

Bourgeois-Republique, Claire, [789]

Bourguignon, Jean-Jacques, [1549]

Bouroumi, A., [473]

Bouzida, Djamal, [1368]

Bower, M., [1249]

Bower, Michael Jason, [1544]

Bowie, James U., [1423]

Boyle, Roger D., [26]

Braaten, Øivind, [1345]

Braaten, O., [201]

Braga, Washington, [92]

Braich, Ravinderjit S., [314]

Brameier, Markus, [656]

Brasacchio, J. B., [1259]

Brasacchio, R. A., [1235]

Brauer, Matthew J., [216]

Bredno, Joerg, [632]

Breemen, A. N. van, [390]

Breinig, M., [1068]

Brem, Rachel Beth, [1360]

Brendel, Bernhard, [764]

Breneman, Curt M., [1272]

Breneman, Curt, [1269, 1273]

Brener, Nathan, [799]

Brennan, Marie-Luise, [1112]

Brest, J., [975, 1255]

Brezocnik, Miran, [1058]

Brezovich, Ivan A., [1113]

Brinkers, Martijn, [481]

Briscoe, Gerard, [524]

Brittain, Andrew, [248]

Broadhurst, David, [223, 402]

Bromberg, Pamela Sharon, [1386]

Brooijmans, Natasha, [1274]

Broussard, Randy P., [637, 641,643, 645, 662, 665, 917]

Browder, Kathy, [1093]

Brown, J. Q., [1050]

Brown, Linfield C., [429]

Brown, Richard, [1165]

Brown, Susan J., [228]

Brown, T., [1115]

Bruckstein, A. M., [141]

Brudermann, U., [938]

Brueckner, Adrian, [1053]

Brunauer, Leonhard, [742]

Brunner, Stephen, [1104]

Brunsdon, Chris, [1118]

Brusic, Vladimir, [182]

Bruten, J., [125]

Bryson, James W., [1494]

Brzozowski, D., [438]

Bu, Hung Tien, [329]

Bull, Lawrence, [450]

Bullnheimer, B., [135]

Burbaum, Jonathan J., [1304]

Burden, Frank R., [1527]

Burks, Christian, [338, 278, 279]

Burlinson, S., [991]

Burman, Jerry A., [910]

Burnett, R. M., [1351]

Burnham, K. J., [1149, 1167,1191, 1212]

Burns, A., [991]

Burrezo, S., [987, 996]

Bursell, E. S., [693]

Buscema, Massimo, [1045]

Butler, R. M., [75]


Butler, Ralph M., [597]

Buydens, Lutgarde M. C., [340, 1501,350, 272, 274, 285, 1318, 1319]

Cadieux, S., [856]

Cagnoni, Stefano, [1094, 1146,1155, 906]

Cai, H., [943]

Cairns, Paul, [1375]

Calabretta, Raffaele, [1553]

Calabretta, R., [1462]

Calafate, Carlos T., [1134]

Caldwell, Craig, [1633]

Calisir, E. D., [520]

Callaghan, V., [88]

Camcho, Emilio, [22]

Cameron, George G., [835, 849,859, 1196, 870]

Campanini, R., [647, 1004]

Campanini, Renato, [610]

Campbell, J. A., [920]

Camussi, A., [600]

Canal, E. de la, [1584]

Canal, M. Rahmi, [1126]

Cangelosi, A., [252]

Cannarozzi, Gina, [1555]

Cannings, C., [349]

Cano, Juan-Carlos, [1134]

Canpolat, Necati, [74]

Canseven, A. G., [1077]

Cao, Fang, [50]

Cao, Hua, [754, 771, 799]

Caorsi, Salvatore, [644]

Capozza, M., [935]

Carbone, Alessandra, [308]

Cardayre, Stephen B. del, [221]

Cardoen, Brecht, [1095]

Carlsson, Lova, [1055]

Carnahan, B. J., [1200]

Caro, Gianni Di, [134, 139,144, 149]

Carpenter, T. A., [823, 833,854, 907]

Carpio, Carlos Adriel Del, [1516]

Carroll, D. L., [881]

Carr-West, M., [88]

Cartwright, Hugh M., [435, 391]

Casadio, Rita, [610, 1559]

Castaneda, Miguel A. Padilla, [1012]

Castellano, Pilar, [660]

Castellanos, N. P., [686]

Castilhos, Fernanda de, [529]

Castro, Jesus Silva, [1158]

Cavalli-Sforza, L. Luca, [227]

Cawse, James Norman, [156]

Cedeno, Walter, [337, 1305,277]

Cerdan, S., [837]

Cestari, Renzo, [1045]

Cevik, A., [1077]

Cha, Soonmee, [1129]

Chacon, Pablo, [1357]

Chacon, P., [1574]

Chahine, J., [1353]

Chakraborti, Chhanda, [1632]

Chakraborti, N., [520]

Chakraborti, Nirupam, [497]

Champion, H., [1124]

Chan, Heang-Ping, [838, 845,1175]

Chan, Hue Sun, [1389]

Chan, Yung-Kuan, [808]

Chanda, B., [744]

Chandy, D. Abraham, [716]

Chang, Chung-Fu, [112]

Chang, Geoffrey, [1429]

Chang, N. B., [445]

Chang, Ni-Bin, [414, 422, 427]

Chang, R., [1159]

Chang, Shih-Fu, [1112]

Chang, Susan M., [1129]

Chang, Yuan-Hsiang, [1227, 1228,1256, 1258, 926, 929]

Chao, C. L., [1056]

Chao, Ching-Kong, [1066]

Chao, Yuyan, [782]

Chaparian, Michael G., [155]

Chapman, Brian E., [815]

Chapman, Christopher Neal, [957]

Chaves, L. J., [591]

Chellapilla, K., [389]

Chellapilla, Kumar, [325]

Chelvanayagam, Gareth, [1555]

Chelyapov, Nickolas, [314]

Chemin, Yann, [37]

Chen, Bae-Horng, [840]

Chen, Chien-Cheng, [1290]

Chen, Chuchu, [1127]

Chen, Ding-Horng, [1201]

Chen, H. W., [414, 422,445, 427]

Chen, Hong Ming, [1533, 1564]

Chen, Hongming, [1580]

Chen, Houjin, [734]

Chen, Hsiang-Yin, [1237]

Chen, Huiqin, [121]

Chen, J. D. Z., [868]

Chen, J., [197]

Chen, Jiann-Jone, [817]

Chen, Jianquan, [1298]

Chen, Junghuei, [297, 379]

Chen, Kaixian, [1288]

Chen, L., [1619]

Chen, Liangbiao, [1049]

Chen, Lirong, [1612, 1624]

Chen, Q.-F., [496]

Chen, Qifeng, [507]

Chen, R. S., [1600]

Chen, Ran, [1127]

Chen, Rong-Tai, [808]

Chen, Ta-Cheng, [1237]

Chen, Wen-Chin, [1290]

Chen, Wen-Pin, [1096]

Chen, Y. M., [43, 56, 72]

Chen, Yazhu, [711]

Chen, Y., [982, 1027,1173, 1177]

Chen, Yen-ting, [897, 924]

Chen, Yen-Wei, [847, 853,865, 869, 872, 879, 927]

Chen, Yi, [780, 788,793, 802]

Chen, Y.-P., [553]

Authors 23

Chen, Yu-Ming, [80]

Cheng, G., [978]

Cheng, J. C. Y., [642]

Cheng, J., [1421]

Cheng, Kuo-Sheng, [840]

Cheng, Kuo-sheng, [897, 924]

Cheng, S. L., [578]

Cheng, Shu-Chen, [688]

Cheng, Yuh-Min, [1000]

Chessari, Gianni, [1413]

Chettri, A., [1103]

Cheu, Wen-Chin, [1279]

Cheung, R., [735]

Chi, Hanlin, [1298]

Chia-Shun, Lai, [13]

Chiba, Shinji, [1377]

Chiou, Ji-Pyng, [112, 562]

Chippindale, Adam K., [209]

Chitre, Yateen, [836]

Chiva, Emmanual, [1424]

Chiva, Emmanuel, [241]

Cho, Byoung-Kwan, [44]

Cho, Seong In, [16]

Cho, Sung Jin, [1283, 1593,1605]

Choi, Bernard, [1059]

Choi, Chulhee, [796]

Choi, H., [735]

Choksi, Semil, [212]

Chong, Chiet Sing, [1067]

Chongstitvatana, Prabhas, [816]

Chou, C. S. V., [132, 147]

Chou, You-Li, [1000]

Chow, Chi Kin, [650]

Choy, Wing Yiu, [1598, 1621]

Christensen, Steffen, [518]

Chtioui, Younes, [83]

Chu, C., [1069]

Chung, Woodam, [585]

Church, Sheri A., [220]

Cinkosky, M. J., [189]

Clague, J. E., [968]

Claridge, Ela, [681, 684,685, 692, 514, 516]

Clark, Adam, [239]

Clark, David E., [1427, 611,179, 1291, 1296]

Clark, K. P., [1471]

Clark, Kevin Patrick, [1286]

Clark, Taane G., [1060]

Clarke, David D., [1636]

Clarke, L. P., [918]

Clarke, Laurence P., [844]

Clement, Greg T., [667]

Clergue, M., [243]

Clote, Peter, [1359, 1361,348]

Cockcroft, Victor, [1490]

Coco, Wayne M., [306]

Codrea, Marius C., [222]

Coelho, Regina Celia, [218]

Cohen, A., [904]

Cohen, David S., [381]

Cohen, Fred C., [1425]

Cohen, G., [634]

Colaninno, A., [698]

Cole, Jason C., [1403, 1413]

Coley, D. A., [923]

Collet, Pierre, [691, 1040,1092, 789]

Colley, M., [88]

Collins, J. J., [310]

Collins, Robert James, [456, 457, 469]

Collins, Steve M., [829, 846, 626]

Colorni, Alberto, [124, 128, 150]

Colusso, Gabriel, [529]

Colvin, M. E., [1310]

Comber, Alexis J., [1118]

Comely, Richard, [1137, 819]

Compiani, Mario, [610]

Condon, Anne E., [293]

Condon, Anne, [370]

Cong, Pei-Sheng, [1530]

Congdon, Clare Bates, [204, 1148]

Connell, Jon, [579]

Connor, Christopher W.,[667]

Conrad, Michael, [186, 187, 188]

Constantin, Alexandra, [1129]

Cooke, D. E., [334]

Cooper, Claus, [456, 457]

Cooper, Lee R., [1400]

Cooper, R. D., [1063, 1078]

Coquillard, Patrick, [232]

Corazza, Marcos L., [529]

Corcoran, David, [579]

Cordon, O., [732]

Cordon, Oscar, [712, 731, 800]

Corn, Robert M., [293]

Corne, David W., [1400]

Corne, David, [138]

Correa, Esteban M., [1125]

Correia, Mauro M., [798]

Cosic, Irena, [1601, 1603]

Cosio, C. F., [1229]

Coskun, Aysun, [1061]

Cosıo, Fernando Arambula, [1012]

Cotrutz, C., [1020]

Couchman, Luise S., [362]

Coutinho, M.S., [1185]

Coveney, Peter V., [1583]

Cox, Graham A., [1411]

Cox, J. Colin, [381]

Crabbe, M. James, [1400]

Craessaerts, Geert, [38, 41]

Crampton, Jason, [747]

Craw, S., [89]

Cribbs III, H. Brown, [541]

Crilly, Paul B., [939]

Crist, Michael J., [306]

Cruz, I. Lopez, [66]

Cui, Qinghua, [1409]

Cui, Yan, [1389]

Cui, Yaoyao, [659, 1222]

Cui, Y., [1600]

Cull, A., [1124]

Cummings, M. D., [1479]

Cunha, J. B., [32]

Cunxi, Chang, [785]

Curtis, Andrew Thomas, [752]


Curtis, Andrew, [1086]

Cutler, Gene, [1049]

Cytowski, Jerzy, [857]

Czarnecki, C. A., [834]

D’Addabbo, A., [698]

Daeyaert, F. D., [272]

Dagorn, Laurent, [260]

Dai, J.-H., [496]

Dai, Jianrong, [976]

Dai, Jinhai, [507]

Dai, Liangying, [40, 42]

Dalbis, Donato, [123]

da Costa Filho, Paulo A., [993]

da Costa Gurgel, Helen, [1084, 1089]

Dale, Brian M., [694, 700]

D’Alessandro, Brian, [807]

D’Alessandro, Maryann, [683]

Da Ros, Simon, [529]

Damas, S., [732]

Damas, Sergio, [712, 731,800, 806]

Dandekar, Omkar, [757, 772]

Dandekar, Thomas, [998, 1426,1448, 615, 617, 1521, 1526, 1563,1568, 1569, 1617, 1302, 1303]

Dandy, Graeme C., [57, 67]

D’Angelo, Donna J., [240, 242]

Daniels, Douglas Stephen, [1369]

Darden, Thomas A., [1541]

Darenfed, Salah, [818]

Darzins, Aldis, [306]

Das, Arpita, [741, 797, 801]

Das, Sanjoy, [114]

Das, S., [520]

Das, Shiva K., [1101]

Dasgupta, Suman, [744]

Dastmalchi, Siavoush, [1414]

Datz, F. L., [1156]

David, E., [952]

Davidson, C. E., [438]

Davies, B. L., [1229]

Davies, Zoe S., [18]

Davoodi, R., [1252]

Dawkins, Richard, [254]

Day, Richard O., [1376, 1388,1388]

Dıaz, J. Fernando, [1357]

D.Clark, Robert, [1387]

Dean, David, [995, 1026]

Deaton, R., [353, 355, 363]

Deaton, Russell J., [291]

Deaton, Russell, [297]

Deb, Kalyanmoy, [781]

Deckers, Jozef, [1102]

DeGrado, William F., [1494]

DeGroote, John P., [1111]

Dehmeshki, Jamshid, [736]

Dekker, Laura, [405]

de Araujo, Aurigena Antunes, [1128]

de Arruda, Mercia Eliane, [1084, 1089]

de Carvalho, Andre C. P. L. F., [1390]

De Falco, I., [523]

Delibasis, Konstantinos K., [652,668, 821, 835, 849, 859, 1196, 870,1210, 1244]

De Iorio, Maria, [1060]

Della Cioppa, A., [523]

Del Angel, P. L., [686]

Del Carpio, Carlos A., [1495]

De MarcoJr., P., [591]

de Moura Oliveira Coelho, J. P., [32]

de Oliveira Neves, Ana Carolina,[1128]

Delp, Edward J., [724]

De Sancho, David, [1412]

Delsanto, P. P., [876]

De Wilde, Philippe, [524]

Demeulemeester, Erik, [1095]

Demiris, E. N., [1007, 1018]

Denessiouk, Konstantin, [1613, 1625]

Deng, Youping, [228]

den Dulk, Paul, [481]

Derks, E. P. P. A., [340]

Derksen, R. W., [484]

Desai, D., [1068]

Deshmukh, A. Y., [814]

Deshmukh, C. N., [784]

Desimo, Martin P., [637, 641,645, 662, 917]

Desjarlais, J. R., [1611]

Desjarlais, John R., [1463, 1540]

Devcic, Zlatko, [1096]

Devogelaere, D., [979]

Devogelaere, Dirk, [1273]

Dewey, John, [587, 589]

Dhaenens-Flipo, Clarisse, [1022]

Dhawan, Atam P., [763, 807,820, 836, 940, 624]

Dias Vasconcelos, Simao,[1084, 1089]

Diaz, J. F., [1574]

DiGregorio, S., [421]

Dike, B. A., [482]

Dill, K. A., [1513]

Dill, Ken A., [1487]

Dillon, N., [823, 833, 854]

Di Martinelly, C., [1064]

Dimarki, T., [969]

Dimitrov, Dimitar, [1615]

Ding, Qing, [1215]

Diniz-Filho, J. A. F., [591]

Dinner, A. R., [1602]

Dinner, Aaron R., [1570]

Dinov, Ivo D., [737]

Diong, B., [1032]

Distefano, G., [935]

Dix, T. I., [286]

Dixit, Swati R., [814]

Dixit, Vivechana, [44]

Dixon, J. S., [1306]

Dobrzeniecki, A. B., [1146, 906]

Doerner, Karl, [1087]

Doi, Hirofumi, [342]

Doi, K., [841, 874]

Dokholyan, Nikolay V., [1385]

Dokur, Z., [899, 925]

Dokur, Zumray, [1003, 677]

Dominici, Patrizia, [1045]

Donelli, Massimo, [723]

Dong, Jinxiang, [729]

Dony, Robert D., [699]

Dorado, Julian, [843]

Authors 25

Dorigo, Marco, [99, 124, 127,128, 129, 134, 136, 138, 139, 144,149]

dos Santos Coelho, Leandro, [517]

Doucet, Arnauld, [224]

Douglas, T. S., [675, 877]

Douglas, Tania S., [895]

Douguet, Dominique, [1264]

Douzono, H., [369, 377]

Dowla, Farid U., [410]

Downing, Keith, [500, 255]

Doye, Jonathan P. K., [1500, 1586]

Doyle, P. M., [602, 1496]

Doyle, Steven, [579]

Draper, John, [230, 402]

Dravid, R., [268]

Dreo, Johann, [115, 776]

Dries, Laurie A., [216]

Du, Fuli, [998]

Du, X., [1421]

Duan, Huilong, [887]

Duarte Flores, Susana, [1407]

Duca, J. S., [1236]

Ducatelle, F., [113]

Duerk, Jeffrey L., [694]

Dumont, Georges, [669]

Duncan, B. S., [1508]

Dunn, Warwick B., [1054]

Dunworth, C., [341]

Duraiswami, Chaya, [1534]

Durant, E. A., [1011]

Durant, Eric A., [1011]

Durbin, Dennis R., [964]

Dutta, P. K., [713]

Duvic, Madeleine, [1028]

Dybowski, R., [1159]

Dyer, Michael G., [456, 457]

Dyke, J., [634]

Ebeling, Martin, [1475, 1543]

Eberhart, Russell C., [898]

Eberl, Stefan, [769]

Echauz, Javier, [683]

Edelvik, Fredrik, [1135]

Edirisinghe, C. D., [1138, 1147]

Edmonds, Christopher A., [227]

Edwards, Brent, [1081]

Edwards, Yvonne, [1442]

Eggenberger, P., [268]

Eheart, J. Wayland, [406]

Eigen, Manfred, [449]

Eiler, Cheryl L., [1081]

Eilers, R., [1181, 1199]

Eisenberg, David, [1423, 1464,1488, 1517, 1307]

El-Baz, Ayman, [679]

Eldeib, Ayman M., [905]

El-Fallah, A., [482]

Elketroussi, Mehdi, [1139, 941]

Elkhaled, Adam, [1129]

El-Kwae, Essam A., [880]

Ellington, Andrew D., [381]

Elliot, Geoffrey N., [402]

Elliott, Peter, [1591]

Ellis, David I., [1054]

Elofsson, Arne, [1464, 1488,1517]

El-Rayes, Khaled, [399]

Embrechts, Mark J., [1272, 1273]

Embrecths, Mark J., [1269]

Emile, J. F., [1132]

Enbody, R., [13]

Ence, D., [534]

Endo, Tokiko, [826]

Engle, M. L., [279]

Engoren, Milo C., [1079, 1245]

Engqvist, Leif, [215]

Erickson, Mark, [441]

Eriksson, Ljusk Ola, [584]

Erkoc, S., [520]

Essaı, A., [473]

Esteller, Rosana, [683]

Estevez, J., [705]

Etchebest, C., [1339, 1340]

Etschmann, M. M. W., [163]

Evans, D. J., [646]

Evans, David J., [676, 678]

Ezoe, H., [258]

Ezzell, G. A., [961]

Ezzell, Gary Allen, [1140, 1160]

Fabregas, Carmen De Sola, [890]

Facello, Michael, [1542]

Falk, Robert, [679]

Falkenauer, Emanuel, [319]

Fan, David P., [1139]

Fan, H. Y., [398]

Fan, Yi, [1209]

Fan, Yong, [673, 676, 678]

Fang, Alex, [55]

Fang, Junlong, [48]

Fang, Yuotong, [710]

Fanlun, Xiong, [60]

Farag, Aly A., [679, 861,1190, 863, 893, 921]

Farag, Aly, [905]

Fararic, J. P., [1635]

Farfan, J., [987, 996]

Fariselli, Piero, [610, 1559]

Farman, Allan G., [921]

Farrall, Martin, [1060]

Faruque, Abdullah, [436]

Fathi, Madjid, [1141]

Faulkner, Graeme, [824]

Faulkner, T. R., [1507]

Fei, H., [1069]

Feiglin, Ariel, [726]

Feiglin, David H., [738]

Feitosa, Raul Q., [798]

Felock, P. J., [235]

Felton, Michael J., [1271]

Fen, Ping, [330]

Feng, Dagan, [769]

Ferguson, Allan M., [1299]

Fernandez, Jaime J., [825]

Fhang, K. Y., [100, 102]

Ficici, Sevan G., [559, 569]

Fickett, J. W., [189]

Fiege, J., [1124]

Figueres, Gilles, [34]

File, P. E., [332, 198]


Filipic, Bogdan, [648]

Fiorini, Paolo, [1082]

Fischer, Andrew H., [1039]

Fischer, D., [1488, 1517]

Fischer, Gary W., [1237]

Fisher, B. J., [823, 833,854, 907]

Fisher, M. H., [1149, 1167]

Fitzpatrick, J. Michael, [621]

Fiveash, John B., [1113]

F.Landweber, Laura, [374]

Flask, Christopher Alan, [702]

Fleming, James T., [275]

Flotzinger, D., [1142]

Floudas, C. A., [1398]

Flowers, Margot, [456, 457]

Flowers, Woodie C., [417]

Floyd, C. E., [850, 1203]

Flynn, Robyn, [264]

Focke, Axel, [1087]

Fogarty, Terence C., [434, 450]

Fogel, David B., [1366,325, 1467, 1150, 1153, 1157, 1184,1223, 1230, 942]

Fogel, G. B., [389]

Fogel, Gary B., [325, 256,1607, 1308]

Fogel, Lawrence J., [1467, 1153]

Fogue, Manuel, [1134]

Foley, D. H., [1115]

Foley, Desmonf H., [1098]

Foley, J. E., [720]

Fonlupt, C., [140]

Fonseca de Camargo Neves, Vera,[1029]

Foong, W. K., [100, 102]

Forrest, Stephanie, [338, 278, 279]

Forsyth, Richard, [1636]

Foster, James A., [1266, 518]

Fotouhi, Farshad, [228]

Foy, Mark, [61]

Frachet, Bruno, [1040, 1092,789]

Franceschetti, D. R., [363]

Franschetti, D. R., [353, 355]

Frantzen, M., [1560]

Franzen, David, [36]

Franzen, L., [696]

Frederick, E. D., [1203]

Freedman, M. T., [858]

Freedman, Steven J., [1541]

Freeland, Stephen J., [315]

Freer, Stephan T., [1467, 1153,1171]

Freisleben, B., [146]

Freitas, Alex A., [1019]

Frenkel, David, [611]

Freund, R., [384]

Friedl, A., [166]

Friend, Stephen H., [1209]

Friesner, R. A., [1436]

Friesner, Richard A., [1575]

Frollo, Ivan, [888]

Frutos, Anthony G., [293]

Fu, Bin, [351, 367]

Fu, J. C., [755]

Fu, Kuang, [810]

Fujita, H., [664, 867,886, 894]

Fujita, Hiroshi, [826]

Fukui, Yasuhiro, [1030, 1047,1074]

Fukushige, T., [178]

Fulham, Michael, [769]

Funakubo, Akio, [1030, 1047,1074]

Funatsu, Kimito, [1578, 1594]

Funes, Pablo, [554, 557, 565]

Fung, Albert Y. C., [955, 1008,1015]

Furie, Barbara C., [1178, 1541]

Furie, Bruce, [1178, 1541]

Furst, Jacob, [812]

Furuhashi, Takeshi, [361, 364]

Furusawa, Mitsuru, [342]

Furuya, Tatsumi, [79]

Fuss, R., [630]

Fyfe, Murray, [1120]

Gal, B., [1038]

Galar, R., [246, 451]

Galeano, J., [1132]

Gallagher, R. J., [1234]

Gallego, M. J., [1195]

Galvan, Stefano, [1082]

Galvin, J. M., [1027]

Gamalielsson, J., [1381]

Gambardella, Luca M., [127, 129,134, 139]

Gamez, Jose A., [109, 110]

Gandy, S., [923]

Gangl, Alfred, [742]

Gant, V., [1159]

Gao, Hua, [1371]

Gao, Y., [358]

Garcıa, A., [996]

Garcıa-Gimeno, Rosa Maria, [219]

Garcia-Uribe, Alejandro, [1028]

Gardiner, Eleanor J., [1393]

Garg, Rajni, [1116]

Gargıa-Armengol, Juan, [1106]

Gargıa-Herrera, G., [987, 996]

Garrido, J., [996]

Garrido, Piedad, [1134]

Garway-Heath, David, [747]

Garzon, M., [353, 355,358, 363]

Gaspar, L., [961]

Gastaldi, Laura, [1122]

Gasteiger, J., [238]

Gasteiger, Johann, [1267]

Gates, Gregory B., [444]

Gates, Jr., George H., [1428, 1441,1465, 1505, 1539, 1562]

Gaughan, Patrick, [750]

Gaulke, R. L., [1466]

Gaunt, M. W., [1192]

Gautam, Ramesh, [36]

Gayou, Olivier, [1101]

Ge, C., [302]

Gee, J., [670]

Gefen, Smadar, [709]

Gehlhaar, Daniel K., [1368, 1467,1153, 1171]

Geladi, Paul, [30, 932, 933]

Authors 27

Gell-Mann, Murray, [532, 539]

Gerloff, Dietlind, [1555]

Gernert, K. M., [1518]

Gerrish, Philip, [217]

Gesu, Vito Di, [218]

Ghadessy, Farid J., [303]

Ghosh, Payel, [725]

Ghosh, S., [972]

Ghost, M. K., [713]

Giger, M. L., [841]

Giger, Maryellen L., [966, 860]

Gilbert, F., [1152]

Gilbert, Richard J., [18]

Gillet, Valerie J., [1349]

Gilman, Alex, [172]

Giraldeau, Luc-Alain, [264]

Girvetz, E. H:, [720]

Giuca, Anne-Marie, [812]

Giusti, Giuliano, [610]

Glaser, Elton, [370]

Glen, Robert C., [602, 173,605, 612, 1528, 1297, 599]

Glendening, C. D., [1236]

Glover, Fred, [138]

Goddard, J., [66, 68]

Godzik, Adam, [1520, 1554]

Gogonea, Valentin, [1495]

Goh, Gerard Kian-Meng,[1266]

Goldammer, E. von, [952]

Goldberg, David E., [437]

Golden, J. B., [335]

Golden, Jim, [318]

Goldfarb, Lev, [1268]

Goldstein, R. A., [1529]

Golovanov, Alexander P., [164]

Golubitsky, Oleg, [1268]

Gomes de Lima, Kassio Michell,[1128]

Gomez, Juan D., [1125]

Gonzalez, Fabio, [719]

Gonzalez, R. R., [1590]

Good, Walter F., [1227, 1228,1256, 1258, 926, 929]

Goodacre, Rouston, [154]

Goodacre, Royston, [223, 230, 164]

Goodman, E. D., [190]

Goodman, Erik D., [1355, 1477,1504, 1511, 1545, 13]

Goodsell, David S., [1356, 1588]

Goodsitt, Michell M., [845, 1175,889]

Gordon, D. Benjamin, [1346]

Gordon, Oscar, [806]

Goreti Rosa-Freitas, Maria, [1084,1089]

Gotshall, Stanley, [1093]

Gottvald, A., [902]

Gottvald, Ales, [257]

Gould, E. A., [1192]

Goulermas, J. Y., [574]

Goulermas, John Y., [495, 792]

Gouzu, Hidetaka, [292, 294]

Govindarajan, S., [1529]

Govindarajan, Sridhar, [1270]

Graetz, David, [585]

Graham, Allan MacKenzie, [737]

Grand, Scott Michael Le, [1439, 1464,1488, 1314, 1315]

Grassy, Gerard, [1264]

Gray, H. F., [837]

Greenwood, Garrison W., [1396, 1607]

Grefenstette, John J., [392]

Griffith, Gareth W., [18]

Griffiths, Robert C., [1060]

Grigni, Michelangelo, [483]

Grill, Warren M., [1114]

Grossi, Enzo, [1045]

Grosso, Paul Bryant, [453]

Groumpos, Peter P., [21]

Grozier, S., [680]

Grujicic, M., [1056]

Grundy, W. N., [1634]

Gu, N., [302]

Guan, J., [413]

Guan, X., [1431]

Guanghua, Chunyan Li, [984]

Gu∂mundsson, Markus, [880]

Gubernator, Klaus, [1292]

Guc, Melikali, [328]

Gulinck, Hubert, [1102]

Gultyaev, A. P., [603]

Gultyaev, Alexander P., [606]

Gunn, John R., [1436, 1537,1575]

Gunter, Peter, [1491]

Guo, Lei, [519]

Guo, Q., [1623]

Guo, Qing, [1622]

Guo, Xiaoying, [1127]

Guojun, Bao, [912]

Guozheng, Yan, [730]

Gupta, V., [360]

Gur, David, [926, 929]

Gurkiewicz, Meron, [1090]

Gutierrez, D., [1310]

Gutjahr, Walter J., [1087]

Guyer, Daniel, [47]

Haas, O. C. L., [1149, 1167,1191, 1212, 1250]

Hacksell, Uli, [1536]

Hadaya, Nir, [726]

Hafner, Michael, [742]

Hagan, S., [86]

Hagiya, Masami, [292, 294, 359]

Hagiya, M., [300]

Hagras, H., [88]

Hahn, Lance W., [1025]

Hahn, Mathew, [1469]

Hajduk, P. J., [1474]

Hajela, Prabhat, [501]

Hall, L. D., [823, 833,854, 907]

Hall, L. O., [918]

Hall, Lawrence O., [844]

Halliday, David M., [750]

Halliday, Robert S., [1588]

Hallstrom, Philip, [1542]

Halperin, Inbal, [1380]

Hamacher, Kay, [1608]

Hamalainen, Matti, [1170, 896]

Hamarneh, Ghassan, [674, 714]


Hamdy, Shaheen, [792]

Hammer, Jurgen, [182]

Hamzeh-Mivehrod, Maryam, [1414]

Han, Dong-Hai, [45, 52]

Han, Hao, [1561]

Hancock, Peter J. B., [1631]

Handa, H., [560]

Handel, T. M., [1611]

Handel, Tracy M., [1463, 1540]

Handels, H., [1204, 908]

Handley, Simon G., [1432, 1456,336, 339, 1497, 1309]

Handschuh, Sandra, [1267]

Hani, Ahmad Fadzil M., [1130]

Hansen, Carl Harold, [156]

Hansmann, Ulrich H. E., [1609]

Haque, M. Ehtashamoul, [805]

Hara, S., [369, 377]

Hara, Takeshi, [826]

Hara, T., [664, 867,886, 894]

Harada, H., [1217]

Harboun-Cohen, Esther, [1092]

Hariharan, Ramkumar, [1417]

Harkonen, Henna H., [1123]

Harris, C. J., [602, 1496]

Harris, Stephen P., [435, 391]

Harrison, Leonard C., [182]

Hart, Stephen, [287]

Hart, T. J., [1479]

Hart, William E., [1364, 1588,1614, 1300]

Hart, William Eugene, [1277]

Hartl, R. F., [135]

Hartshorn, Michael J., [1403, 1413]

Harvey, Neal R., [1039]

Hasegawa, Kiyoshi, [1578, 1594]

Hasegawa, Mitsuhiko, [1174]

Hasegawa, Y., [1143]

Hashimoto, A., [346]

Hashimoto, Yasushi, [24, 76]

Hashimoto, Y., [29, 62, 94,81, 87, 14]

Hassanli, A. M., [57]

Hasty, Jeff, [310]

Hata, Yutaka, [689, 1042,1076]

Hatou, K., [29]

Haupt, M., [428]

Hawley, William A., [1091]

Hayashi, Yoichi, [638]

Haydon, Daniel, [271]

Hayes, B. J., [73]

Hazen, Stanley L., [1112]

Hazout, Serge, [1336, 1339,1340]

He, Lifeng, [782]

He, Renjie, [672, 519]

He, Sailing, [909]

He, Y., [43, 46, 56]

He, Yong, [50, 53]

Heang, Ping Chan, [889]

Hedberg, Martin H., [1536]

Hedstrom, Anders, [1135]

Heidari, M., [393]

Heide, C., [602]

Heigold, P. C., [393]

Heikkinen, Risto K., [401]

Heinrich, Reinhart, [184]

Heinrichs, Volker, [1270]

Heißner, Adolf, [95, 78, 96]

Hekanaho, Jukka, [1490]

Hektor, Harm J., [306]

Helguera, Marıa, [756]

Helguera, Maria, [721, 738]

Hellinga, H. W., [1433]

Helvie, Mark A., [838, 845,1175, 889]

Hemayed, E., [861]

Hemayed, Elsayed E., [1190]

Hemmateenejad, Bahram, [1034]

Henderson, C. E., [180]

Heng, Pheng-Ann, [639]

Hennig, Carsten, [1009]

Heritage, Trevor W., [1299]

Hermann, Karl A., [403]

Herrera, Francisco, [488]

Herrera, Manuel, [1106]

Herrero, J. M., [39]

Herrmann, Frank, [1434, 1451,1470, 1577]

Herrmann, W. M., [1181, 1199]

Hertzog, David E., [1415]

Hervas-Martınez, Cesar, [219]

Hess, A. J., [651]

Hesser, Jurgen, [1525]

Higami, T., [1030]

Higgins, Desmond G., [344]

Higuchi, Tetsuya, [1070, 1240]

Hill, A., [622]

Hillis, David M., [216]

Hiltner, Jens, [1141]

Hiltner, J., [654]

Hiltunen, Teri, [442, 443]

Hinds, R. Michael, [168]

Hinson, Arthur, [683]

Hirafuji, M., [86]

Hirako, Kenichi, [826]

Hiskey, Rchard G., [1541]

Ho, Cheng Chen, [1392]

Hoehn, Gerard, [1112]

Hoey, Tim, [1049]

Hoffman, Brian, [1605]

Hoffmann, Wesley C., [55]

Hoffmeister, Jeffrey W., [637, 641,645, 662, 917]

Hoffmeister, Thomas, [232]

Hogeweg, Paulien, [454]

Holder, Mark T., [216]

Holland, Brett, [323]

Holland, O., [125]

Holliday, John D., [1532, 1579]

Holliger, Philipp, [303]

Holls, William, [939]

Holmes, E. C., [1192]

Holmes, John H., [964, 1161]

Holzwarth, A. R., [1514]

Honda, Kiyoshi, [37]

Honeyman, Marco, [182]

Hong, Seunghong, [875, 882]

Honørio, Nildimar Alves,[1089]

Authors 29

Hoogerboom, G., [180]

Hoos, H., [130]

Hopfinger, A. J., [1534, 1573,1236]

Hopper, David, [230]

Horan, M. A., [968, 991,1205]

Horan, Michael A., [1187]

Horita, Katsuhei, [826]

Horn, Jeffrey, [441]

Horner, Steven L., [939]

Horng, Jorng-Tzong, [299, 553]

Horton, B., [65, 65]

Hoshi, T., [71]

Hosseini, Z. S., [1211, 1225]

Hou, Q., [1027]

Hou, T., [1619]

Hou, Tingjun, [1612, 1254,1624, 1627]

Houshyar, H., [1301]

Hovland, P., [13]

Howard, Lee M., [240, 242]

Hricak, H., [634]

Hsu, Ching-Chi, [1066]

Hu, Wei Ping, [1523]

Hu, Wen-Chen, [788, 793, 802]

Hua, Jing, [715]

Huang, C. L., [411, 907]

Huang, Chung-Hsien, [706]

Huang, Hsu-Chih, [122]

Huang, Jau-Hua, [706]

Huang, Shuying, [770]

Huang, Wei E., [230]

Huang, Xiaosheng, [795]

Huang, Yanbo, [55]

Huang, Yueh-Min, [688]

Hudson, B. D., [602]

Huey, Ruth, [1588]

Huffer, A., [1310]

Hughell, David A., [596]

Hugh-Jones, Martin E., [1086, 1121]

Hunt, J. E., [334]

Husbands, Philip, [465]

Hush, Noel S., [181]

Hutt, B. D., [498]

Hutter, Michael C., [181]

Huyck, Christian, [1375]

Huynen, Martijn A, [454]

Hwa, Er Meng, [973]

Hwang, C., [578]

Hwang, Jenn-Kang, [1382]

Hwang, Ming-Jing, [1382]

Hynynen, Kullervo, [667]

Hyotyniemi, Heikki, [433]

Iacca, Giovanni, [525, 527, 528]

Iba, Hitoshi, [503, 161]

Ibanez, L., [670]

Idlebi, Niba, [407]

Igel, Christian, [1005, 764]

Iida, Y., [85]

Iijima, Hiroshi, [1435]

Ikebukuro, Kazunori, [1515]

Ikegami, Takashi, [533, 455]

Ikezoe, J., [1241]

Ileana, Ioan, [397]

Ilonen, Jarmo, [508]

Ilvonen, Mikko, [396]

Imrani, A. El., [473]

Inaba, Takeshi, [782]

Ingole, V. T., [784]

Inoue, Yuichiro, [478]

Intraligi, Marco, [1045]

Irving, Malcolm R., [105]

Isasi, P., [472]

Ishigaki, Takeo, [826]

Ishigaki, T., [664, 867]

Ishii, Kiyoto, [1373]

Ishikawa, Masato, [333, 345,347, 281, 282]

Ishikawa, M., [1482, 1499]

Itoh, H., [830]

Itoh, S., [664, 867]

Itsukashi, K., [178]

Ivorra, Benjamin, [1415]

Iwasa, Y., [258]

Iwasa, Yoh, [265]

Iwata, Masaya, [1070, 1240]

Iyengar, S. Sitharama, [799]

Iyengar, S. S., [771]

Izquierdo, C. M., [1590]

Izquierdo, Joaquın, [1106]

Izquierdo, M. C. M., [343]

Izui, Y., [420]

Jacob, C., [552]

Jacq, Jean-Jose, [631, 883, 623]

Jacucci, Gianni, [61]

Jaeger, E. P., [235, 169,1481, 1519, 1311, 1263]

Jaffe, Klaus, [251, 269]

Jain, A. K., [1355]

Jakiela, Mark J., [1502]

Jakobsson, Stefan, [1135]

Jalbert, Llewellyn, [1129]

Jallas, E., [84]

James, Adrienne Claire Nwando,[202]

Janczak, T., [387]

Jang, Younggun, [875, 882]

Janikow, Cezary Z., [943]

Jansen, Johanna M., [1536]

Janssen, M. A., [1186]

Jarvis, Roger M., [164]

Jayakanth, R., [520]

Jeffers, J. N. R., [582]

Jefferson, David R., [456, 457, 469]

Jefferson, M. F., [991, 1205]

Jefferson, Miles F., [1187]

Jen, Lim Chong, [973]

Jewajinda, Yutana, [816]

Ji, B. P., [49]

Jia, Chunguang, [887]

Jian, Hualing, [1288]

Jiang, Ching-Fen, [649]

Jiang, Jack J., [1080]

Jiang, Jingying, [1052]

Jiang, Mingfeng, [1075]

Jiang, Mon-Fong, [69]

Jiang, Ouyang Guotai, [984]

Jiang, Tianzi, [646, 673,676, 678, 1409]


Jiewen, Zhao, [93]

Jin, A. Y., [1524]

Jin, Albert Yongwon, [1289]

Jin, Baiqiang, [1534]

Jing, Ding, [60]

Jitaru, Maria, [397]

Johanssen, Anette M., [1536]

Johansson, C. B., [701]

John, David St., [409]

Johnson, Cliff, [314]

Johnson, Helen E., [223]

Johnson, Mark E., [244, 357]

Johnson, Mark S., [1276, 1440,1442, 1459, 1613, 1625]

Johnson, Virginia M., [410]

Johnston, Roy L., [1411]

Johnston, Victor J., [234]

Johnston, Victor, [1633]

Jokinen, Olli, [598]

Jolivot, R., [1132]

Jones, A. H., [546, 548, 564]

Jones, D. T., [601, 1496]

Jones, David D., [28, 35]

Jones, Gareth, [173, 612,1528, 1571, 1297]

Jones, Jennifer T., [1270]

Jones, Matthew D., [1104]

Jong, K. De, [432]

Jong, Kenneth A. De, [477]

Jonoska, Natasa, [356]

Joshi, Anjali, [784]

Joung, Chi-Sun, [573]

Jourdan, Laetitia, [1022]

Joy, Saju, [1417]

Joyner, Timothy Andrew, [1121]

Jr, V. Pilla, [922]

Ju, Quan, [750]

Juang, Chin-Feng, [118]

Judson, Olivia P., [271]

Judson, Richard S., [169, 1481,1507, 1519, 1310, 1311, 1312, 1263]

Juhola, Martti, [986, 871,1208, 1224, 1233, 1243]

Juille, Hugues, [537, 538,554, 565, 570]

Jukes, Ken, [434]

Jun, Hyo-Byung, [573]

Jung, Byungjo, [1059]

Junior, P. A. D., [446]

Jurs, Peter C., [1572, 1294]

Kaabouch, Naima, [780, 788,793, 802]

Kabuka, Mansur R., [880]

Kacprzynski, G. J., [651]

Kadah, Yasser M., [722, 739]

Kadiyala, Akhil, [404]

Kadmon, Ronen, [231]

Kagadis, G. C., [668]

Kaiser, C. E., [1562]

Kaiser, H., [191]

Kaiser-Bonasso, Christine, [836]

Kaiser, Jr., Charles E., [1539]

Kajihara, N., [1240]

Kajitani, I., [1240]

Kajitani, Isamu, [1070]

Kakar, Manish, [777]

Kalafallah, Ahmed, [399]

Kalganova, Tatiana, [1021]

Kaltsatis, P., [1221]

Kam, A., [904]

Kamada, K., [1595]

Kamano, T., [1217]

Kamarainen, Joni-Kristian, [508]

Kamarulzaman, Hamzah, [809]

Kamil, Alan C., [210]

Kamio, Shotaro, [503]

Kamo, Masashi, [265]

Kamp, Christel, [309]

Kampen, Antoine H. C. van, [1501]

Kan, Jichang, [330]

Kanehisa, Minoru, [607]

Kang, Yujung, [796]

Kanniainen, Olli, [1100]

Kao, Ceng-Yan, [1290]

Kao, Cheng-Yan, [290, 1350,1382, 1279, 553]

Kao, Cheng-Yen, [299]

Kao, Ming-Hung, [778]

Kaptein, Robert, [1317]

Karabunarliev, Stoyan, [1615]

Karajeh, Huda, [740]

Karanta, Ilkka, [598]

Kareko, Kunihiko, [455]

Kargupta, Hillol, [365]

Kari, L., [384]

Karimi, Koohyar, [1096]

Karimi, Reza, [760]

Karkavitsas, George, [703]

Karl, Stephen A., [356]

Karnan, M., [743]

Karouzakis, K., [1013, 1014]

Karplus, Martin A., [1602]

Karplus, Martin, [1558, 1567,1570, 1618]

Karppinen, Ari, [442, 443]

Karube, Isao, [1515, 1610]

Karube, Masao, [1616]

Kashanian, Mehdi, [718]

Kashyap, Dheerendra, [116]

Kaski, Kimmo, [1341, 1342]

Kasprzak, Marta, [320]

Katai, O., [560]

Kateman, Gerrit, [284, 285,1317, 1318, 1319]

Katoh, Kazutaka, [206]

Kauffman, Stuart A., [459]

Kaur, Devinder, [404]

Kawamoto, Y., [346]

Kawamura, T., [1030]

Kawata, Masakado, [493]

Kaya, Mehmet, [328]

Ke, J. Y., [1188]

Kehtamavaz, Nasser, [1028]

Keijzer, Maarten, [1048]

Keinan, Ehud, [307]

Kel, Alexander, [366]

Kell, Douglas B., [154, 18, 1054]

Kell, Douglas, [157]

Kelle, R., [1560]

Kenny, Bob, [671]

Kenny, Louise C., [1054]

Authors 31

Kentala, Erna L., [986, 1233]

Kenway, S. B., [546]

Kepes, Francois, [518]

Keranen, Mika, [222]

Kermanshahi, B., [416]

Keskitalo, Jukka, [526]

Kettunen, Arto, [592, 593,594, 595]

Kewley, Robert H., [1269]

Keymeulen, Didier, [1240]

Khader, Ahamad Tajudin, [809]

Khalil, Ahmad S., [1062]

Khiani, K. J., [863]

Khimasia, Mehul M., [1503, 1583]

Khomitch, Vitali, [1039]

Khoo, V. S., [983]

Khoobehi, Bahram, [771, 799]

Kidera, Akinori, [1595]

Kido, Choichiro, [826]

Kiehl, Thomas Robert, [156]

Kiga, Daisuke, [292]

Kikuchi, Shinichi, [225]

Kikuchi, T., [1241]

Kim, B. Y., [956]

Kim, H. C., [1115]

Kim, Jegyom, [476]

Kim, Kieun, [321]

Kim, Seung-Yeon, [1408]

Kimura, Toshiro, [1594]

King, Richard A., [177]

Kingdon, Jason, [405]

Kinghorn, B. P., [23, 90]

Kini, P., [940]

Kirkman, E., [1205]

Kirlik, A., [1630]

Kiryati, Nahum, [709]

Kishi, S., [1143]

Kishore, N. N., [781]

Kissinger, Charles R., [1368]

Kita, Hajime, [419]

Kitagawa, Junji, [161]

Kitano, H., [237]

Kivinen, Veli-Pekka, [586, 588, 590]

Klein, C. D., [1573]

Klein, T. A., [1115]

Klema, Jirı, [707]

Klepeis, J. L., [1398]

Klinkenberg, Brian, [1120]

Kloppel, B., [1162]

Knoll, Peter, [671, 687]

Knowles, Jeremy R., [1304]

Kobashi, Syoji, [689, 1042,1076]

Kocabiyik, S., [484]

Kocer, Sabri, [1126]

Kochetov, Y., [137]

Kodali, Shyam P., [781]

Koehler, Kondrad F., [1536]

Koh, Chan G., [982]

Koh, Chang Seop, [710, 766]

Kohler, Bert-Uwe, [1009]

Khn, Horst, [671]

Koistinen, Hannu, [1123]

Koivo, Heikki N., [433]

Kojima, F., [489]

Kok, Joost N., [388]

Kokol, Peter, [999]

Kokol, P., [975, 1213,1214, 1255]

Kolaskar, A. S., [1512]

Kolehmainen, Mikko, [442, 443]

Kolinski, A., [1523]

Kolinski, Andrzej, [1372, 1520]

Koljonen, Janne, [1100, 932,933]

Komeiji, Y., [178]

Komiya, Ken, [292, 294]

Komoda, N., [1595]

Konagaya, Akihiko, [280, 1313,281, 282, 283]

Kondo, Katsuya, [689, 1042,1076]

Kondou, Hiroyasu, [280]

Kong, Xiangzhen, [1127]

Konig, Rainer, [1617]

Konig, R., [1568]

Kopell, Nancy, [310]

Kopfer, H., [513]

Koppen, M., [630]

Koralewski, Hans-Eberhard, [948,949]

Korf, Richard, [456, 457]

Koriska, Karl, [671]

Korkin, Dmitry, [1268]

Korner, A., [1220]

Korngreen, Alon, [1090]

Kosugi, Y., [1144, 822]

Kosugi, Yukio, [913]

Kotcheff, A. C., [873]

Kothe, M., [192]

Koudil, Mouloud, [119]

Koutcher, J. A., [634]

Kovacic, Miha, [1058]

Koza, John R., [1437, 1457,1458, 1581, 460, 461, 462, 463, 193,194]

Kozmann, G., [1038]

Kramer, Kirsten Elisabeth, [1051]

Krantz, Lena, [1055]

Krasnogor, Natalio, [1352, 1384,1584, 1614]

Krestyannikov, Evgeny, [737]

Kreusch, J., [1204, 908]

Krink, Thiemo, [259]

Krishna, Murali C., [779]

Krishnamurthy, E. V., [386]

Krishnamurthy, Vikram, [386]

Krogh, A., [1460]

Krol, Andrzej, [721, 738, 756]

Kruggel, F., [827]

Kubalık, Jirı, [707]

Kubinyi, Hugo, [1438, 1452,1293]

Kubo, Masao, [478]

Kubo, Takuya, [265]

Kubota, N., [489]

Kudaka, M., [901]

Kuhl, Christofer, [669]

Kuhn, Leslie A., [1355, 1374,1504, 1511, 1545]

Kukkonen, Jaakko, [443]

Kuklinski, Walter S., [1137, 819]


Kulkarni, B. D., [298]

Kulkarni, Bhaskar D., [296]

Kuma, Kei-ichi, [206]

Kumar, A. Senthil, [1041, 1067]

Kumar, Ashok, [404]

Kumar, Sunil, [403, 1116]

Kumaravel, N., [636, 1207]

Kumari, V. Vijaya, [716]

Kuncheva, Ludmila I., [944]

Kundu, M. K., [744]

Kuntz, I. D., [608]

Kuntz, Irwin D., [1274]

Kuntz, Pascale, [145]

Kunwar, Rakesh Singh, [805]

Kuo, Sheng-Feng, [63]

Kupinski, M. A., [915]

Kupinski, Matthew A., [966, 860]

Kupinski, M., [841]

Kuppusamy, K., [400]

Kurata, K., [85]

Kureichik, V. M., [101]

Kurnaz, Mehmet Nadir, [677]

Kuroda, K., [1169]

Kurosaka, M., [1076]

Kurtz, J., [215]

Kurtzman, Aaron L., [1270]

Kutics, A., [828]

Kutics, Andrea, [832, 848]

Kwasnicka, Halina, [464]

Kwasnicki, Witold, [464]

Kwok, James T., [728]

Kwok, Leung Lam, [889]

Kwon, Jangwoo, [875, 882]

Kwon, Kihwan, [796]

Lacey, Ronald E., [55]

Lahanas, M., [1013, 1014,1242, 1247]

Lahtela-Kakkonen, Maija, [1123]

Lakshmiramanan, R., [400]

La Rocca, Renato, [679]

Lam, Hong Yoong, [809]

Lam, K. P., [322]

Lam, Kwok L., [838]

Lam, W., [642]

Lamarque, D., [1132]

Lammi, S., [1243]

Lamont, G. B., [1562]

Lamont, Gary B., [1376, 1388,1395, 1441, 1465, 1505, 1539]

Lampinen, Jouni, [502, 508]

Lan, Yubin, [55]

Lanconelli, N., [647, 1004]

Land, W. H., [1221]

Land, Walker H., [965, 640, 663]

Landini, Luigi, [813]

Landrin-Schweitzer, Yann, [691]

Landweber, L. F., [373]

Lane, R., [1165]

Langenberger, Thierry, [891]

Langer, Mark, [1165]

Lanzeni, Stefano, [1083]

Larranaga, Pedro, [1182]

Larra naga, Pedro, [1195]

Larranaga, Pedro, [1198]

Larson, Scott R., [1111]

Lau, Tze Kin, [650]

Laurikkala, Jorma, [986, 655,1189, 871, 1208, 1224, 1233, 1243]

Lavery, R., [1339, 1340]

Lavine, Barry K., [436, 438]

Law, Tsui-Ying, [639]

Layeb, Abdesslem, [522]

Lazar, Greg A., [1540]

Lazaro-Ponthus, Delphine, [775, 787]

Leach, Andrew R., [1528, 1297]

Leardi, Riccardo, [30, 54]

Lee, Bogju, [174, 175,247, 249]

Lee, Byungkook, [1607]

Lee, Chungnan, [162]

Lee, Dah-Jye, [1097]

Lee, Dong Wook, [573]

Lee, E. K., [1234]

Lee, Eunsil, [875]

Lee, HeowPueh, [1067]

Lee, Jae Hoon, [16]

Lee, Jiann-Der, [706, 839, 851]

Lee, J., [1535]

Lee, Jungsul, [796]

Lee, Man-Ling, [1265]

Lee, O., [1165]

Lee, P. V., [877]

Lee, Peter V., [895]

Lee, Sangjean, [882]

Lee, Sangmin, [875]

Lee, Sung Jong, [1408]

Lee, Tong, [650]

Lee, Yongbum, [664, 695,867, 894]

Leendert, R. van, [952]

LeFevre, J., [1163]

Lefort, Virginie, [518]

Legoupil, Samuel, [775, 787]

Legrand, Pierrick, [1092, 789]

Leguizamon, G., [142]

Leherte, Laurence, [1549, 1587]

Lehmann, Martin, [492]

Lehmann, Thomas M., [632]

Lehndert, R. van, [951]

Lehrach, Hans, [366]

Lehtonen, Jukka V., [1613, 1625]

Lei, Jie, [1099, 1105]

Leijenhorst, Derek C. van, [616]

Leippe, M., [1569]

Leirs, Herwig, [1102]

Leiviska, Kauko, [526]

Lemmon, Alan R., [211]

Lenski, Richard E., [208]

Leonard, Joseph M., [1387]

Lerch, R., [945]

Leren, T. P., [201]

Leren, Troud P., [1345]

Lestander, Torbjorn, [226, 30]

Leung, F. Y., [1524]

Leung, Kwong Sak, [635, 642]

Levenson, Richard M., [1039]

Levi, Paul, [1577]

Levin, Michael, [1472, 1154,613]

Authors 33

Levine, David, [1542]

Levine, J., [113]

Levine, Rebecca S., [1091, 1109]

Levinson, William E., [306]

Levy-Drummer, Rachel S., [726]

Levy-Vehel, Jacques, [1092]

Lewi, P. J., [272]

Lewin, Jonathan S., [694]

Lewis, Mitchell, [1429]

Lewis, Paul O., [216]

Lewis, Paul S., [625]

Leyman, A. Rahim, [973]

L’Heureux, Pierre-Jean, [1404]

Lhotska, Lenka, [707]

Li, Can, [167]

Li, C., [735]

Li, F., [412]

Li, Jin, [611]

Li, Junbo, [657, 659,1222]

Li, Jupeng, [734]

Li, King, [1112]

Li, Leling, [1178]

Li, Leping, [1541]

Li, Peng-Fei, [52]

Li, Sheng, [121]

Li, Shiyong, [786]

Li, Shutao, [728]

Li, Temei, [1017]

Li, Tong-Hua, [1530]

Li, W., [765]

Li, Wuxiong, [1049]

Li, X.-B., [496]

Li, Xiangyan, [1127]

Li, Xiaodong, [646]

Li, Xiaomei, [753]

Li, Yangmei, [657, 659]

Li, Ying, [519]

Li, Yongjie, [1033, 1099,1105]

Li, Yongxin, [167]

Li, Yuanqian, [167]

Li, Yuling, [362]

Liang, Faming, [1370]

Liang, Hualou, [963, 868]

Liang, Xuwei, [715]

Liang, Yun-Chia, [148]

Liao, James C., [174, 175, 249]

Liatsis, Panos, [495]

Liatsis, P., [574]

Liaw, C. Y., [982]

Libchaber, Albert, [313]

Liebmann, B., [166]

Liengsawangwong, R., [735]

Likotjannasis, S. D., [1007, 1018]

Liles, W., [432]

Lillie, Anita S., [227]

Lim, Meng-Hiot, [527]

Lima, W. C. de, [1185]

Limouri, M., [473]

Lin, Ching-Mei, [299]

Lin, Cui, [715]

Lin, Jinn, [1066]

Lin, Min-Der, [444]

Lin, P., [43, 56]

Lin, Xi-Zhang, [817]

Lin, X., [736]

Lin, Zhiyue, [963]

Linares, P., [885]

Lindholm-Sethson, Britta, [932, 933]

Lineaweaver, Sean, [1046]

Ling, Xuefeng Bruce, [1049]

Linkens, D. A., [985]

Linkens, Derek A., [1164]

Lipton, R. J., [341]

Litt, Brian, [683]

Little, R. A., [1205]

Liu, Baw-Jhiune, [299]

Liu, Boqiang, [753]

Liu, Dongxiang, [1288]

Liu, Jane Jijun, [1049]

Liu, Jia-kuang, [897, 924]

Liu, Jun S., [1383]

Liu, Junhong, [502]

Liu, Li-Chang, [706]

Liu, Qinghua, [293]

Liu, Xiaohui, [1016]

Liu, Yong, [831, 1197,1257]

Liu, Zhenhua, [33]

Liu, Zhiyue, [868]

Liu, Zhongguo, [753]

Liu-Chen, L. Y., [1301]

Livneh, Zvi, [307, 324]

Lo, Chiang, [118]

Lo, Joseph Y., [965, 640, 663]

Lo, S. M., [398]

Lockwood, Larry, [1272, 1273]

Loncaric, Sven, [820]

Lopes, H. S., [1238, 922]

Lopes, Heitor S., [1019, 1185]

Lopez, Heitor Silverio, [855]

Lopez, I., [68]

Lopez, P. M., [1584]

Lorena, Ana Carolina, [1390]

Louchet, Jean, [775, 787]

Lounibos, L. Philip, [1091]

Lovell, Byrne, [1316]

Lozano, Manuel, [488]

Lu, Chun-Ming, [118]

Lu, Fadian, [584]

Lu, Renfu, [47]

Lu, Shiyong, [228, 715]

Lu, Weixue, [887]

Lu, Weizhen, [398]

Lu, Yi, [228]

Lucas, S. B., [968, 1205,950]

Lucas, Sam B., [1187]

Lucasius, Carlos B., [616, 284,285, 1317, 1318, 1319]

Luciano, Giorgio, [54]

Luik, A. I., [236]

Luitgards-Moura, Jose Francisco,[1084, 1089]

Luke, B., [1422]

Luke, Brian T., [111]

Lukhnova, Larissa, [1121]

Luo, X., [943]


Luoto, Miska, [401]

Luthy, Roland, [1492]

Lutton, Evelyne, [691, 1092]

Lutton, Evelyne, [775, 787, 811]

Ma, Buyong, [1380]

Ma, Songde, [1409]

Ma, Tuan D., [153]

Maatta, Juha A. E., [1123]

MacAllister, Donald J., [153]

Maciunas, Robert, [1026]

MacLeod, Christopher, [487]

MacNiven, Scott, [1515]

Maddalena, D. J., [1287]

Madhav, Prakash J., [1534]

Maeda, Chika, [1042]

Maeda, T., [1595]

Magee, Derek R., [26]

Maggini, Valentina, [1035]

Mahan, S. L., [1068]

Maher, Mary Lou, [545]

Mahfouf, M., [985]

Mahiou, Ramdane, [745, 761]

Mahnig, T., [101]

Maier, Frederick, [589]

Maier, H. R., [100, 102]

Mailman, Richard B., [1605]

Maisto, D., [523]

Majdi-Nasab, Nariman, [724]

Maji, Pradipta, [744]

Majumder, P. P., [972]

Mak, Sunny, [1120]

Mak, Terrence S. T., [322]

Makino, Yoshio, [25]

Makrogiannis, Sokratis, [1275]

Malcic, I., [1213]

Maley, Carlo, [253]

Malhotra, Harish K., [1104]

Malik, Kamal A., [44]

Malik, Sarfraz Ahmed, [805]

Mallipeddi, R., [525]

Man, K. F., [1188]

Mandal, Abhyuday, [778]

Mandava, Venkat R., [621]

Manetta, S., [892]

Mange, Daniel, [556]

Maniadakis, M., [962]

Maniezzo, Vittorio, [124, 128,143, 150]

Mann, D., [991]

Manner, Reinhard, [1525]

Mantere, Timo, [504, 509,510, 521]

Manzoni, Pietro, [1134]

Mao, Chi-Wu, [817]

Maranas, Costas D., [159]

Marchand, Arnaud, [319]

Marchesi, Bruno, [855]

Marco, Paulo Henrique, [1128]

Marcus, Emil, [1285]

Mariani, Viviana Cocco, [517]

Mariano, C. E., [82]

Marin, F. J., [207]

Marinelli, Martina, [813]

Marks, Lawrence B., [1101]

Maroulis, D., [327]

Marq, Benoit M., [890]

Marquez, Guillermo, [1028]

Marshall, C. H., [1436]

Martens, J. M., [1186]

Martinez, Francisco J., [1134]

Martinez-Perez, I., [837]

Martini, Anna, [723]

Martin III, LeRoy B., [1576]

Martınez, M., [39]

Martınez-Campos, Carmen, [1037]

Martınez-Meyer, Enrique, [17, 1037]

Marvin, N., [1249]

Marzani, F., [1132]

Massa, Andrea, [644, 723]

Masters, G., [1152]

Masters, Timothy D., [640, 663]

Mastronardi, G., [698]

Mastronardi, Guiseppe, [794]

Matecha, J., [1071]

Matero, Sanni, [1123]

Mathiowetz, A., [1481, 1519]

Matousek, Radek, [395]

Matsopoulos, George K., [652, 668,1210, 1244]

Matsos, Helen C., [248]

Matsua, H., [1506]

Matsubara, Tomoko, [826]

Matsuda, Hideo, [372]

Matsuda, H., [346]

Matsui, Kazuhiro, [913]

Matsui, K., [1144, 822]

Matsumoto, Hiroyuki, [1174]

Mattfeld, D. C., [513]

Matthew, James B., [1387]

Matthews, K. B., [89]

Mattheyses, Robert Marcel, [156]

Mattsson, Johanna M., [1123]

Maulik, Ujjwal, [783]

Mauri, G., [1551, 1566,1589]

Maxwell, Grant M., [487]

Maxwell, R. J., [837]

May, Alex C. W., [1440, 1442,1459, 1613]

Mayer, A. S., [411]

Mayer, Alex, [441]

Mayer, David G., [19]

Mayer, H. A., [575]

Mayfield, Howard T., [436, 438]

Mayo, Stephen L., [1346]

Mayoh, Brian, [418]

Maza, Michael de la, [1473, 1320]

Mazza, Cecilia Beatriz, [1367]

Mccall, J. A. W., [911]

McCall, John, [1036]

McCallum, R. W., [868]

McCallum, Richard W., [963]

McClendon, R. W., [180]

McCormack, Michael D., [153]

McCurdy, B., [1124]

McDermott, Ann E., [1575]

McDonnell, John R., [1156]

McFadyen, I. J., [1301]

McGarrah, D. B., [1312]

Authors 35

McInerney, Tim, [674]

McIntosh, Chris, [714]

McKee, Dan, [663]

McKinion, J. M., [59]

McKinney, Deane C., [444, 423]

McLaren, CVhristine E., [1096]

McMillen, David, [310]

McNay, D., [842]

McNyset, Kristina M., [1086]

McTavish, Thomas, [165]

Meadows, R. P., [1474]

Medina, Veronica, [660]

Medina, V., [686]

Meesad, P., [661]

Mehra, R. K., [482]

Mei, He, [1530]

Meier-Ewert, Sebastian, [366]

Mekenyan, Ovanes, [1615]

Melius, C., [1481, 1519]

Melssen, W. J., [340]

Mendes, Pedro, [185]

Merkle, Daniel, [98, 108]

Merkle, L. D., [1562]

Merkle, Laurence D., [1395, 1441,1465, 1539]

Merkle, Laurent D., [1505]

Merry, Roger J., [18]

Merz, P., [146]

Merz, Jr., K. M., [1439, 1314]

Meskens, N., [1069]

Messina, Enza, [1083]

Messing, E. M., [1235, 1259]

Metzger, A., [995]

Meuli, Reto, [891]

Meunier, Jean, [658]

Meunier, J., [916]

Meurice, Nathalie, [1549, 1587]

Meyer, Claudia M., [624]

Meyer, George E., [28, 35]

Meyer zu Bexten, E., [654]

Meza, J. C., [1507, 1310]

Michalewicz, Z., [142]

Michalski, K. A., [490]

Michaud, Steven R., [1388]

Michel, Olivier, [243]

Michelena, M. J., [1195]

Michielssen, Eric, [842]

Middendorf, Martin, [98, 108]

Middleton, L. T., [946, 947]

Miften, Moyed, [1101]

Mignot, Bernard, [407]

Mignotte, Max, [658]

Mignotte, M., [916]

Mikkola, Topi, [598]

Miliani, L., [619]

Milickovic, N., [1013, 1014]

Milik, M., [1476]

Milinkovitch, Michel, [211]

Mill, Frank, [465]

Miller, C. J., [332, 198]

Miller, Geoffrey F., [452]

Miller, Julian F., [500, 518]

Miller, Mark A., [1586]

Mills, J. A., [1149, 1167,1191, 1212]

Min, David I., [1237]

Min, Y., [147]

Minami, Yoshlyuki, [79]

Mininno, Ernesto, [525, 527, 528]

Minsker, Barbara S., [437]

Minster, J. B., [1152]

Miranda, Dinis Reis, [1245]

Miranda, P., [903]

Mirny, Leonid Alex, [1585]

Mirza, Sikander M., [727, 746,746, 749, 751, 762]

Mirzaei, Siroos, [671]

Mirzaei, S., [687]

Mishra, A., [713]

Misra, K., [497]

Missotten, Bart, [38, 41]

Mitchell, Brooke E., [1572]

Mitchell, Ian, [1375]

Mitchell, Melanie, [725]

Mitra, Pabitra, [971]

Mitra, Suman K., [1193]

Mitra, Sushmita, [971, 638]

Miyake, Yoichi, [790]

Miyata, Takashi, [206]

Miyokawa, T., [1218]

Mocciola, P., [1584]

Mochizuki, T., [1241]

Mofrad, Mohammad R. Kaazempur,[1062]

Mofrad, Mohammed R. Kaazempur,[760]

Mohamed, S., [1205]

Mohammadi, Bijan, [1415]

Mohan, S., [1231]

Moilanen, Atte, [203]

Moldoveanu, F., [876]

Molina, J. M., [472]

Molinari, Filippo, [1133]

Monge, A., [1436]

Monmarche, Nicolas, [120]

Montalvo, Idel, [1106]

Monteiro de Barros, Fabio Saito,[1084, 1089]

Montelione, G. T., [1484]

Montesinos, Pilar, [22]

Monticello, Daniel J., [306]

Montilla, G., [885]

Montilla, Guillermo, [619, 620]

Moody, C. M., [1496]

Moore, Gregory L., [159]

Moore, Jason H., [1025]

Moores, Anthony J., [436, 438]

Moraga, C., [654]

Moral, Pierre Del, [224]

Moran, Federico, [1357]

Moran, F., [1574]

Moreno, L., [705]

Moreno, Rui, [1245]

Morgan, K., [968]

Morgan, R., [412]

Mori, E., [1481, 1519]

Mori, Naoki, [419]

Morikawa, Souichi, [1373]

Morimoto, Tetsuo, [24, 76]


Morimoto, T., [29, 62, 94,81, 87, 14]

Morisetti, Stefano, [1546]

Moriyama, T., [416]

Mornon, Jean-Paul, [1336]

Morosetti, S., [604]

Morosetti, Stefano, [1401]

Morrill, S., [1165]

Morris, Garrett M., [1356, 1364,1588]

Morrison, Clayton T., [965]

Mortimer-Jones, Thomas V., [1411]

Moser, G., [20]

Mosher, John C., [625]

Moskowitz, Myron, [836]

Motokawa, Wataru, [967]

Moult, John, [1478, 1509,1538, 1565, 1322, 1323, 1324, 1325,1326, 1327, 1328]

Moura Oliveira, P. B. De, [546, 548,564]

Mouravliansky, Nicolaos A., [652,668, 1210, 1244]

Muge, Fernando, [981]

Muhlenbein, Heinz, [101]

Mukai, Fumio, [250]

Mukamel, S., [1420]

Mulawka, J. J., [387]

Mullen, D. S., [75]

Mullen, David S., [597]

Mulligan, Ann E., [394, 429]

Mun, S. K., [858]

Munshi, Prabhat, [781]

Murakami, Kazuhito, [782]

Murakami, M., [1240]

Mural, R. J., [1431]

Murase, Haruhiko, [24]

Murase, K., [1241]

Murphy, Laurence J., [67]

Murphy, R. C., [353, 355,358, 363]

Murray, Christopher W., [1403, 1413,611, 179]

Murugan, S., [1119]

Murugesan, R., [779]

Myers, Jenny, [1054]

Myers, Timothy G., [1209]

Nabout, J. C., [591]

Nadler, Walter, [1475]

Nagaraja, Valkunja, [296]

Nagaraja, V., [298]

Nagayama, I., [901]

Nagel, R., [874]

Nair, Parvathy S., [1417]

Naito, Yusuke, [1435]

Nakaguchi, Toshiya, [790]

Nakai, Takahisa, [1373]

Nakamura, H., [1595]

Nakamura, Ikuo, [853]

Nakano, Manami, [1074]

Nakao, Zensho, [847, 853,865, 869, 872, 879, 927]

Nakazawa, Yoshinori, [1037]

Namatame, Akira, [478]

n, [?]

na, Gabriel Ma}ga06aGManana

Nanjundiah, Vidyanand, [618]

Nanjundiah, Vinyanand, [261]

Narayana, Ponnada A., [672]

Narayanan, M. N., [950]

Narayanasamy, P., [289]

Narita, M., [1173, 1177]

Nasab, Nariman Majdi, [697]

Nassar, Diaa Eldin, [717]

Nassersharif, B., [534]

Naıt-Ali, Amine, [773]

Naves, R. V., [591]

Nayebzadeh, M., [1211, 1225]

Nazareth, Daryl P., [1104]

Neathery, P., [355]

Neerinckx, Simon B., [1102]

Neff, Bryan D., [229]

Neglia, Danilo, [813]

Nelson, J. Stuart, [1059]

Nelson, Sarah J., [1129]

Nemeth, S. C., [693]

Neri, Ferrante, [525, 527, 528]

Ness, S. R., [1479]

Neto, Joao Camargo, [28]

Neto, Joao Camargo, [35]

Neumaier, Arnold, [1547]

Neumann, Avidan U., [726]

Neumann, Martin, [671]

Nevalainen, Olli, [222]

Newman, S., [73]

Ng, L., [670]

Ngan, P. S., [642]

Ni, Guangzheng, [710]

Nian, Wen, [864]

Niccolai, M. J., [1180]

Nicholis, Thomas E., [690]

Nichols, David E., [1605]

Nickolay, B., [630]

Nicot, Jean-Philippe, [423]

Niederberger, Craig, [1166]

Nikiforidis, G. C., [668]

Nikita, Konstantina S., [1210, 1244]

Nikolova, Nina, [1615]

Nishikawa, Akio, [294]

Nishikawa, A., [300]

Nishikawa, D., [1240]

Nishikawa, R. M., [874]

Nishikawa, Yoshikazu, [419]

Nishimura, Y., [1218]

Niska, Harri, [442, 443]

Nissanov, Jonathan, [709]

Nissinen, Ari S., [433]

Nissink, J. Willem M., [1413]

Nithiyanandam, N., [1207]

Noever, David A., [248]

Noguchi, N., [58, 77]

Noguchi, Y., [369, 377]

Nolfi, Stefano, [1462, 1553]

Nordal, Inger, [1345]

Nordal, I., [201]

Nordling, Torbjorn E. M., [1100, 932,933]

Nordvall, Gunnar, [1536]

Notredame, Cedric, [317, 344]

Nowack, W. J., [1180]

Nugroho, Hermawan, [1130]

Nunes, Jean-Claude, [115, 776]

Authors 37

Nuno, Juan Carlos, [184]

Nurnberg, H. G., [953, 954]

Nussinov, Ruth, [1380]

Nute, Donald, [589]

Nyongesa, H. Okola, [1164]

Nystrom, Josefina, [932, 933]

Obach, M., [439]

Obenhuber, Don, [248]

Ochoa, Edward M., [637, 641,645, 662, 665, 917]

Ochoa, Gabriela, [269]

O’Connor, Patrick M., [1209]

Oechtering, Peter, [862]

Oetting, William S., [177]

Ogata, Hiroyuki, [607]

Ogihara, Mitsunori, [295]

Ogihara, M., [382]

Ogirala, Mythili, [708, 717]

Ohkawa, T., [1595]

Ohkubo, Masaki, [695]

Ohno-Machado, L., [974, 1253]

Ohuchi, Azuma, [491]

Okabe, Yoichi, [1610]

Okamoto, Yuko, [1609]

Okamura, H., [416]

Okamura, T., [856]

Okazaki, K., [864]

Okunieff, P. G., [1235, 1259]

Okunieff, P., [978]

Oliveira, Dario A. B., [791]

Oliveira, Dario A. B., [798]

Oliveira, P. P. B. de, [535]

Olmez, Tamer, [1003, 677]

Olmez, T., [1194, 899]

Olmez, T., [925]

Olmi, R., [892]

Olsen, Dag Rune, [777]

Olson, A. J., [1508]

Olson, Arthur J., [1356, 1588]

Olson, Richard L., [59]

Olsson, Bjorn, [486, 1381,558, 1604]

Ong, Jennifer L., [303]

Ong, Kok Meng, [1043]

Ong, Yew-Soon, [527]

Onken, R., [1635]

Onuki, T., [1218]

Orglmeister, Reinhold, [1009]

Ortiz, A. R., [1523]

Oshiro, C. M., [608]

Osmera, Pavel, [395]

Ostermeier, Marc, [383]

Osuna-Enciso, Valentın, [530]

Otobe, K., [86]

Ouh-Young, Ming, [1279]

Ouhyoung, Ming, [1290]

Overington, John P., [1442]

Owen, F., [991]

Oyama, Kenji, [250]

Ozaki, Masao, [967]

Ozdemir, Durmus, [1416]

Ozdemir, Muhsin, [1272, 1273]

Pace, Fabio, [1045]

Pachter, R., [1562]

Pachter, Ruth, [1376, 1441,1465, 1505, 1539]

Padilla Castaneda, M. A., [1024]

Pahwa, Anil, [114]

Pai, S., [881]

Pain, Jean Pierre, [54]

Pal, Sankar K., [971]

Palafox, G., [1032]

Pan, Lu, [52]

Pan, Zheng, [1049]

Panayides, N., [946]

Pang, Yong, [748]

Panigrahi, Suranjan, [36]

Pantos, E., [1574]

Papagiannopoulou, M., [1013, 1014]

Papentin, F., [1329]

Papiez, L., [1110]

Parbhane, R. V., [298]

Parbhane, Rupali V., [296]

Parda, David S., [1101]

Paredis, Jan, [540, 547]

Parish, John Howard, [1402]

Parisi, Domenico, [1553]

Parisi, D., [1462, 252]

Park, K. S., [956]

Parker, Joel S., [1025]

Parkinson, Wendy, [1046]

Parodi, Alexandre, [937]

Parrill, A., [1282]

Parsons, D. J., [31]

Parsons, M. D., [1156]

Parsons, Rebecca J., [244, 338,357, 266, 278, 279]

Parthasarathy, S., [360]

Parthiban, Latha, [934]

Passaretti, Sandro, [1045]

Passaro, Alessandro, [1035]

Pastorelli, Stefano, [1122]

Pastorino, Matteo, [644, 723]

Patcher, Ruth, [1388]

Patel, Apoorva, [301]

Patel, H. C., [1236]

Patel, Shail, [1591]

Patten, Philip A., [1270]

Pattichis, C. S., [946, 947]

Pattichis, Constantinos S., [1168]

Patton, Arnold L., [1477]

Patton, Robert M., [1107]

Paukku, Timo, [103]

Paul, Jochen, [951, 952]

Paull, Kenneth D., [1209]

Paulson, Rolf, [780, 788, 793]

Paun, Gh., [384]

Payandeh, Shahram, [1017]

Payer, Hannes, [742]

Payne, A. W. R., [602, 605, 599]

Paz-Elizur, Tamar, [307, 324]

Pazilov, Yerlan, [1121]

Pazos, Alejandro, [843]

Pean, Vincent, [1092, 789]

Pearl, L. H., [1496]

Pechlivanis, Ioannis, [764]

Peck, Charles C., [940, 624]

Pedersen, Jan Torleif, [1478, 1509,1538, 1565]


Pedersen, Jan T., [1358]

Pedersen, Lee G., [1178, 1541]

Pei, Min, [13]

Peliti, Luca, [563]

Pelletier, Joelle N., [305]

Pelta, David A., [1584, 1614]

Pena-Reyes, Carlos Andres, [970, 980,994, 1010, 511, 515, 1251, 1260]

Pendleton, Neil, [1187]

Pendleton, N., [968, 991,1205]

Peng, Jinglin, [728]

Peng, Sihua, [1049]

Peng, Wen, [729]

Penttinen, Jorma, [1224]

Percus, Allon G., [483]

Perez, Olga M., [207]

Perez-Uribe, Andres, [556]

Perry, Kim, [221]

Persson, Mikael, [1135]

Pesonen, Mauno, [592, 593, 594]

Peters, Ashton, [733]

Peters, Tim K., [948, 949]

Petersen, Kjell, [1399]

Peterson, A. Townsend, [1029, 1037,1063, 1089, 1098, 1108]

Peterson, Andrew T., [1102]

Peterson, M. L., [1311]

Petit, Michel, [260]

Petrick, Nicholas, [838, 845,1175, 889]

Petrovski, Andrei, [1036]

Petrovski, A., [911]

Pevear, D. C., [235]

Pfotenhauer, M., [952]

Pfurtscheller, G., [1142]

Ph, D., [1485]

Pham, Tuan D., [774]

Piazzolla, Alessandro, [794]

Picaza, J. M., [1195]

Piccolboni, A., [1551, 1566,1589]

Pickens, III, David R., [621]

Pickering-Brown, S., [991]

Picton, P. D., [920]

Picu, Dorin, [951, 952]

Pieja, M. J., [1398]

Pienkos, Philip T., [306]

Pikkermaat, Jeroen A., [350]

Pilla, Jr V., [1238]

Pillai, M. Radhakrishna, [1417]

Piscaglia, Patrick, [890]

Pis’mak, Yu. M., [577]

Pitcher, Trevor E., [229]

Pitiot, Alain, [666]

Platt, D., [286]

Playfer, Jeremy R., [750]

Pleij, C. W. A., [603]

Pleij, Cornelis W. A., [606]

Plishker, William, [757, 772]

Plucienniczak, A., [387]

Plurad, J. C., [1518]

Podbregar, Matej, [1058]

Podforelec, V., [1214]

Podgorelec, Vili, [999]

Podgorelec, V., [975, 1213,1255]

Poethke, H. J., [191]

Pohlheim, Hartmut, [95, 78, 96]

Pohlmann, A., [969]

Poirrette, Andrew R., [1552]

Poli, Riccardo, [684, 1146,1155, 852, 906, 627]

Polifeme, C., [987]

Pollack, Jordan B., [485, 554,559, 565, 566, 567, 569, 570, 571,447, 466, 467]

Pont, M. J., [1183]

Poon, Josiah, [545]

Popa, Maria, [397]

Pope, Gary A., [423]

Poppi, Ronei J., [993]

Poppl, S. J., [1204, 908]

Porro, Gabriele Bianchi, [1045]

Porto, V. W., [1184, 1223,1230]

Positano, Vincenzo, [813]

Poso, Antti, [1123]

Potok, Thomas E., [1107]

Potrebko, P., [1124]

Potter, Mitchell A., [477]

Potter, W. D., [180]

Potter, Walter D., [589]

Pour-Abdollah, Syamak, [919]

Pourabdollah-Nezhad, Siamak, [629,653]

Powell, Keith, [221]

Powell, L. A., [199]

Power, Maxine, [792]

Prasad, R., [497]

Prather, Jonathan Charles, [633]

Preece, Steve J., [681]

Preema, N., [1088]

Pregenzer, M., [1142]

Prieto, Lidia, [1412]

Prieto, Victor, [1028]

Priori, S., [892]

Promislow, Daniel E. L., [212]

Proutski, V., [1192]

Prugel-Bennett, Adam, [262]

Ptitsyn, Andrey, [366]

Pueh, Lee Heow, [1041]

Puerta, Jose M., [109, 110]

Punch, III, William F., [1355, 1374,1477, 1504, 1511, 1545, 13]

Puranen, J. Santeri, [1276]

Purwanto, W., [81]

Pyykko, Ilmari V., [986, 1233]

Qian, Guipeng, [729]

Qian, Z., [765]

Qing, Z. S., [49]

Qiu, Qingjun, [1052]

Qu, Lingli, [167]

Quesneville, Hadi, [304]

Quintana, M. I., [684]

Qureshi, Shahzad Ahmad, [727, 746,746, 749, 751, 762]

Rabani, Yuval, [267]

Rabinovich, Yuri, [267]

Rabow, Alfred A., [1510]

Rackovsky, S., [1535]

Rad, Farshid Rafiee, [629, 653]

Rad, Gholam Ali Rezaei,[718]

Authors 39

Rad, Michael von, [1136]

Radhakrishnan, S., [1119]

Radman, Miroslav, [518]

Rafferty, Kimberly, [738, 756]

Rafiee, Rad, [919]

Rahmati, Mohammad, [919]

Raicu, Daniela, [812]

Raines, Ronald T., [1304]

Rajaguru, Harikumar, [1131]

Rajapakse, Jagath C., [912]

Raman, B., [693]

Ramos, C., [39]

Ramos, Vitorino, [981]

Ramsden, Jeremy J., [518]

Ramsey, C. R., [1068]

Randolph, David, [174, 175]

Rangel, Naykiavick, [619, 620]

Rangoussi, Maria, [703]

Ranjithan, S., [406]

Rantamaki, Minna, [443]

Rao, Liyun, [519]

Rasanen, Petri, [592, 593, 594]

Rathbun, Thomas F., [637, 641,643, 645, 665]

Rathbun, Thomas P., [662, 917]

Rauscher, H. Michael, [589]

Raveendran, P., [1043]

Ravichandran, B., [482]

Ray, Animesh, [295]

Ray, A., [382]

Ray, T. S., [536]

Raymer, Michael L., [1355, 1374,1504, 1511, 1545]

Rødningen, Olaug K., [1345]

Read, R. J., [1479]

Rechenberg, Ingo, [468]

Reddy, A. Srinivas, [1116]

Redfern, M. S., [1200]

Reed, J., [458]

Reeder, Gregory, [1542]

Reeves, C. R., [1167]

Reif, John H., [312]

Reijmers, T. H., [272, 274]

Reil, Torsten, [485]

Reimers, Jeffrey R., [181]

Reinders, M. J. T., [474]

Reinhold, Klaus, [215]

Reinstein, L. E., [881]

Rejto, Paul A., [1467, 1153,1171, 1548, 1550]

Ren, Tian Rui, [1533, 1564]

Renner, Alexander, [1522]

Resch, Robert, [742]

Resenstengel, John E., [665]

Restrepo, Diego, [165]

Rey, Antonio, [1412]

Reynes, Christelle, [34]

Reynolds, Mary G., [1109]

Riane, F., [1064]

Ribeiro-Filho, J., [407]

Ribeiro Filho, Jose L., [408]

Rice, David W., [1488, 1552]

Rice, D., [1517]

Rice, James P., [461, 462,193, 194]

Rice, William R., [209]

Rich, S. S., [195]

Richards, F. M., [1433]

Richardson, D. C., [1518]

Richardson, J. S., [1518]

Rigby, Alan C., [1178]

Riis, S. K., [1460]

Rijckaert, Marcel, [1273]

Rijckaert, M., [979]

Rimm, David L., [1039]

Ring, Christine S., [1425]

Ritchie, Marylyn D., [1025]

Ritter, J., [436]

Ritzel, Brian J., [406]

Riyahi-Alam, Nader, [826]

Rizki, Mateen M., [196]

Rizki, M., [186, 188, 197]

Roberts, C. B., [1065]

Roberts, G., [273]

Roberts, J., [1278]

Roberts, M., [685, 692,514, 516]

Roberts, S., [861]

Robillard, D., [140]

Robson, Barry, [611]

Rocchisani, Jean-Marie, [775, 787]

Rodionov, Michael A., [1442]

Rodningen, O. K., [201]

Rodriguez, L., [885]

Roemer, M. J., [651]

Rogalsky, T., [484]

Roger, Jean-Michel, [15]

Rogers, David, [1449, 1469]

Rogers, Leah Lucille, [410]

Rogers, R. L., [842]

Rogers, Steven K., [637, 641,643, 645, 662, 917]

Rogers, Steven, [665]

Roig, Jose V., [1106]

Roise, Joseph P., [596]

Roland, B., [1064]

Romano, A., [876]

Romero, Eduardo, [719]

Rongguo, Yan, [730]

Rooman, Marianne J., [1330]

Rooß, Diana, [354]

Rosani, Andrea, [723]

Rosati, Samanta, [1133]

Rose, J. A., [353, 358, 363]

Rose, John A., [291]

Rosenberg, R. S., [151]

Rosenman, M. A., [1088]

Rosenstengel, John E., [637, 641, 645]

Rosentengel, John E., [662, 917]

Rosewarne, Brendan S., [1527]

Rosin, Chris, [1364]

Ross, John, [172]

Ross, T., [1204, 908]

Rost, Ursula, [862]

Rotem, Dotan, [231]

Rothemund, Paul W. K., [314]

Rothkrantz, L., [125]

Rouet, Jean-Michel, [631, 883]

Roughgarden, Jonathan, [193, 194]


Roupec, J., [395]

Routen, T., [834]

Roux, Christian, [631, 883,619, 623]

Roux, O., [140]

Rovithakis, G., [962]

Rowbottom, C. G., [983]

Rowe, Jonathan E., [1249]

Rozenberg, G., [388]

Rubens, D. J., [1235, 1259]

Rubio, Ana M., [1412]

Rudy, George, [182]

Rueda, L. M., [1115]

Rueda, Leopoldo M., [1098]

Ruggiero, J. R., [1353]

Ruotsalainen, Ulla, [737]

Ruspini, E. H., [311]

Russo, G. R., [235]

Ruttgers, Martin, [550]

Ruuskanen, Juhani, [442, 443]

Rychlewski, Leszek, [1554]

Ryoo, J., [501]

Sa, S. D., [1173]

Sa, S., [1177]

Saarenmaa, Liisa, [583]

Sabatier, Robert, [34]

Sadedin, Suzanne, [524]

Sadler, P. J., [1496]

Sadowski, Michael I., [1402]

Sahiner, Berkman, [838, 845,1175, 889]

Saidouni, Djamel-Eddine, [522]

Saito, Seiji, [1557, 1620]

Saito, S., [1596]

Saitou, Kazuhiro, [1502]

Sakamoto, Kensaku, [292, 294]

Sakamoto, Shinchi, [997]

Sakanashi, H., [1240]

Sakawa, Masatoshi, [479, 494]

Sakuma, Akiyuki, [426]

Sakuma, A., [430]

Salmelin, Riitta, [1170, 896]

Sampson, Jessica, [1093]

Samson, W. B., [332, 198]

Samsonova, Maria G., [551]

Samuelsen, Scott, [409]

Sanchagrin, Paul C., [1545]

Sanchez, Eduardo, [556]

Sanchez-Cordero, Victor,[17]

Sanchis, A., [472]

Sanchis, J., [39]

Sanctuary, Bryan C., [1362, 1598]

Sanderson, P. N., [602]

Sandham, W. A., [675]

Sanschagrin, Paul C., [1504]

Sansom, Clare, [1556]

Santamarıa, Jose, [712, 731,800, 806]

Santiago, Juan G., [1415]

Santos, Antonino, [843]

Sarbadhikari, S. N., [1193]

Sarkar, Susanta K., [1275]

Sasai, Masaki, [1557, 1620]

Sasai, M., [1596]

Sasaki, Satoshi, [1118]

Sase, M., [1144, 822]

Sasikala, M., [636]

Satake, H., [1217]

Satake, Takaaki, [79]

Satoh, Hiroshi, [478]

Savola, Juha, [598]

Sawaragi, T., [560]

Sayes, Wouter, [38, 41]

Sayler, Gary S., [275]

Scachetti Pereira, Ricardo, [1029]

Scalerandi, M., [876]

Schaffer, J. David, [1085]

Schell, M. C., [978, 1172,1176, 866, 1235]

Scheraga, Harold A., [1510, 1535,1606]

Scherer, Perry W., [153]

Scherg, Michael, [1246]

Scherg, M., [1248]

Schirmer, R. Heiner, [998]

Schizas, C. N., [946, 947]

Schizas, Christos N., [1168]

Schleiter, Ingrid M., [439]

Schmeck, Hartmut, [98]

Schmid, P., [630]

Schmidt, Evan, [738, 756]

Schmidt, Steffen, [998]

Schmidt, Travis S., [403]

Schmieder, Kirsten, [764]

Schmitt, Jens, [1525]

Schneider, Gisbert, [1265, 1430,1450, 1454, 1468, 1486]

Schneider, Petra, [1265]

Schober, Andreas, [449]

Schonberger, J., [513]

Schoonderwoerd, Ruud, [125]

Schrader, J., [163]

Schroeter, Philippe, [891]

Schuchhardt, Johannes, [1450, 1468,1486]

Schulz, Andrea, [1525]

Schulze-Kremer, Steffen, [1406, 1444,1453, 1455, 1331, 1332, 1333, 1334,1335]

Schuster, Peter, [1443]

Schuster, P., [542]

Schwaab, Marcio, [529]

Schwaiger, R., [575]

Schwartz, L., [634]

Schwefel, Hans-Paul, [214, 470]

Scott, L. P. B., [1353]

Scott Dixon, J., [608]

Screen, James, [164]

Scullion, John, [402]

Seah, H. Y., [100, 102]

Sebald, A. V., [1150, 942]

Seburyano, G., [1221]

Sedykh, Aleksandr Y., [160]

Seeman, Nadrian C., [308]

Seijas, J., [1590]

Seijas, Juan, [343]

Seitz, Jr., Kerry A., [812]

Seki, H., [830]

Sekiya, Masaru, [695]

Self, Guy, [54]

Sell, D., [163]

Authors 41

Semertzidis, Michael T., [1445, 1336]

Sequeira, Ronaldo Antonio, [59]

Sequeira, R., [84]

Seredynski, Franciszek, [506]

Serra, R., [421]

Sessions, John, [585]

Setiawan, Budi I., [51]

Seyhan, N., [1077]

Sgall, J., [341]

Shaffer, Ronald E., [614, 176]

Shah, N. K., [1548]

Shakhnovich, Boris, [1385]

Shakhnovich, Eugene I., [1585]

Shaknovich, Eugene I., [1385]

Shalom, David H., [726]

Shamsudin, Norashikin, [1130]

Shane, M. J., [1050]

Shapiro, Beth, [212]

Shapiro, Ehud, [307, 324]

Shattuck, David W., [737]

Sheehan, N., [349]

Shekhar, Raj, [757, 772]

Shelhamer, Mark, [990]

Shen, Gary X., [748]

Shen, Lansun, [628]

Shen, Yi, [786]

Shenton, Martha, [674]

Shepherd, R. K., [23, 73, 90]

Sheppard, J., [576]

Sherman, Christopher J., [1153]

Sherrat, T. N., [273]

Shete, Deepak, [784]

Shi, B. L., [49]

Shi, Guihua, [1409]

Shi, Leming M., [1209]

Shi, Yuhui, [898]

Shibanuma, Nao, [1042]

Shibanuma, N., [1076]

Shim, Jae Hoon, [383]

Shimano, S., [420]

Shimizu, A., [178]

Shin, Chulkyu, [875, 882]

Shin, Jae-Min, [1396, 1607]

Shionoya, Akira, [1174]

Shirvany, Yazdan, [1135]

Shiue, Yow-Ling, [162]

Shively, J. W., [1184]

Shoemaker, C. A., [415]

Shou, Guofa, [1075]

Shouse, Ben, [107]

Shu, Lily H., [417]

Shuo, Chen, [730]

Siarry, Patrick, [115, 773, 776]

Sibata, Claudio, [995, 1026]

Sibata, C., [1138, 1147]

Sibbald, A. R., [89]

Siccama, Ivar, [1048]

Sierra, Basilio, [1182, 1195,1198]

Sigrimis, Nick, [21]

Sigut, J., [705]

Siloniz, Maria Isabel de, [219]

Silva, Bruna Laıs, [1128]

Silvern, D. A., [955]

Silvern, David a., [958]

Silvern, D., [1234]

Sim, Kwee Bo, [573]

Simon, Dan, [1216]

Simpson, Angus R., [100, 102, 64,67]

Simpson, Mark R., [1085]

Simpson, Michael L., [275]

Sinclair, A., [267]

Sing, Chong Chiet, [1041]

Singer, Andrew, [230]

Sipper, Moshe, [970, 980,994, 556, 1251, 1260]

Sklar, Elizabeth, [554, 557,565, 567, 571]

Skolnick, Jeffrey, [1372, 1520]

Skolnick, J., [1523]

Slimane, Mohamed, [120]

Small, Gary W., [614, 176,1215]

Smalley, J. Bryan, [437]

Smith, A. E., [148]

Smith, Aileen R., [223]

Smith, Bradley A., [1368]

Smith, Brandye M., [1391]

Smith, Howard, [1541]

Smith, Jim, [1352, 1407,1614]

Smith, Lloyd M., [293]

Smith, R. E., [482, 541]

Smith, Stephen L., [1094, 750]

Snowdon, G. M., [1287]

Snyder, James P., [1536]

Snyers, Dominique, [145]

So, Sung-Sau, [1558, 1567,1570, 1618]

Soares, T. N., [591]

Soderlund, C. A., [279]

Soh, Chit Siang, [1043]

Soliz, P., [693]

Solomonidis, S. E., [675, 877]

Solomonidis, Stephan E., [895]

Soltanian, J., [1211, 1225]

Soltanian-Zadeh, Hamid,[629, 653, 919]

Somasundaram, P., [400]

Song, J., [1421]

Song, Xiaofei, [815]

Song, Yong-Hua, [105, 412,132, 147]

Song, Zhijian, [768]

Soni, A., [1235, 1259]

Sonka, Milan, [829, 846, 626]

Soule, Terence, [1093]

Souza, Sabrina de, [34]

Sparvero, Louis John, [1626]

Spaulding, Sarah A., [403]

Spence, W. D., [675, 877]

Spence, William D., [895]

Spirov, Alexander V., [551]

Spitzer, Klaus, [632]

Squires, Charles H., [306]

Srinivasan, Dipti, [425]

Srinivasan, Radhika, [1129]

Srivathsa, P. K., [804]

Sriwardhana, C., [991]

Stadler, Peter F., [1443]


Stafford, Brian, [365]

Stahl, Martin, [1265]

Stamatakis, A., [233]

Standley, Daron M., [1575]

Stapor, Katarzyna, [1053, 1073]

Stauffer, Andre, [556]

Stefanini, F. M., [600]

Steinitz, Ofer, [231]

Steipe, Boris, [1592]

Stelle, Alvaro Luis, [855]

Stemmer, Willem P. C., [221]

Stemmer, Willem, [323]

Stender, Joachim, [1338, 951,952]

Stenman, Ulf-Hakan, [1123]

Stephani, Amadeus, [184]

Stephens, C. R., [1044]

Stevens, Fred, [1542]

Stevens Jr., S. E., [353, 355]

Stevens Jr, S. E., [363]

Stohlgren, Thomas J., [403]

Stoisits, Richard F., [153]

Stonier, R., [70]

Storn, Rainer, [543]

Stott, Ian P., [1591]

Stout, William, [1239]

Strancar, Janez, [648]

Strang, J. G., [1235, 1259]

Strantz, David D., [1576]

Stretta, Jean-Michel, [260]

Strizhev, Alexander, [1387]

Strong, D. D., [1231]

Stufken, John, [778]

Sturgess, D., [70]

Stutzle, T., [130, 133]

Su, Ching-Tzong, [112]

Su, F. C., [960]

Su, Fong-Chin, [1000]

Subacius, Vytautas, [619, 620]

Subramanian, R., [934]

Suganami, Yusuke, [913]

Suganthan, P. N., [525]

Sugawara, Ken, [1377]

Sugimoto, D., [178]

Sugiyama, K., [1143]

Sugumaran, Ramanathan, [1111]

Suhai, Sandor, [1434, 1470]

Suhardiyanto, Herry, [51]

Sumathi, M., [779]

Sumikura, Koichi, [1610]

Summa, Christopher Mark, [1379]

Sun, Jizhou, [704]

Sun, Qian, [52]

Sun, Shaojian, [609, 1487,1337]

Sun, Wei, [909]

Sun, Yung-Nien, [817, 1201]

Sun, Zhirong, [1561, 1622]

Sun, Z., [1623]

Sundararajan, V., [289, 1512]

Surkan, Alvin J., [28]

Susanto, Ken, [1031]

Suter, K. J., [1065]

Sutherland, John, [385]

Sutherling, W. W., [842]

Suyama, Masanori Arita Akira, [359]

Suzuki, Hiroshi, [1118]

Suzuki, J., [81]

Suzuki, Keiji, [491]

Suzuki, Kenji, [782]

Suzuki, T., [1217]

Suzuki, Y., [1169]

Svaasand, Lars O., [1059]

Swarup, K. S., [420]

Sweeney, A. W., [1063, 1078]

Swift, Stephen, [1016, 747]

Sykes, Martin, [401]

Szekely, T., [263]

Szustakowski, Joseph D., [1363, 1397,1410]

Tadikonda, Satish K., [846]

Tadikonda, Satish Kumar, [829, 626]

Taga, Ichiro, [1030, 1047,1074]

Tahk, Min-Jea, [476]

Taiji, M., [178]

Takagi, Hideyuki, [997]

Takagi, H., [561]

Takahashi, Katsutoshi, [225]

Takahashi, K., [416]

Takashibu, Midori, [847, 869, 872]

Takata, R., [178]

Takeuchi, Toshihiko, [426]

Takeuchi, T., [430]

Talbi, El-Ghazali, [1022, 140]

Talbi, Hassiba, [512]

Tal-Botzer, Ronen, [726]

Talhami, Habib, [824]

Talley, S., [1044]

Tambe, S. S., [298]

Tambe, Sanjeev S., [296]

Tamburino, Louis A., [196]

Tamura, Shinichi, [853]

Tamura, S., [864]

Tan, C. L., [100, 102]

Tan, Ou, [887]

Tan, Y. T., [1481, 1519]

Tan, Y., [302]

Tanaka, Hidetoshi, [333, 345,347, 1531]

Tanaka, Julia Sawaki, [218]

Tanaka, K., [86]

Tanchuk, V. Y., [236]

Tang, K. S., [1188]

Tang, Zheng, [121]

Tanguay, Celena, [370]

Taniguchi, K., [864]

Tanizaki, N., [856]

Tao, Chao, [1080]

Tapadar, P., [972]

Tarantino, E., [523]

Tardif, Jean-Claude, [658]

Tarroux, Philippe, [1424, 241]

Taylor, C. J., [873, 622]

Taylor, Charles, [456, 457]

Taylor, Douglas R., [220]

Taylor, F. A., [842]

Taylor, J. S., [1351]

Taylor, Jeffrey Sniffen, [1206]

Authors 43

Taylor, Richard D., [1403, 1413]

Taylor, Robert P., [1411]

Taylor, Robin, [1413, 1528,1297]

Taylor, William R., [1399]

Tazman, David, [921]

Tekeuchi, T., [14]

Te Beest, D., [31]

Telles, M. P. C., [591]

Temiralyeva, Gulnara, [1121]

Terao, H., [58, 77]

Terra, Lisiane de Marsillac, [529]

Terzopoulos, Demetri, [674]

Tetko, I. V., [236]

Tettamanzi, Andrea G. B., [425]

Tewari, Jagdish C., [44]

Thakur, Rucha R., [814]

Thangavel, K., [743]

Thangavel, Vijayakumar, [1131]

Thedens, Daniel R., [1145]

Theodorou, Michael K., [18]

Theodosius, A., [946]

Theraulaz, Guy, [97, 136]

Thijssen, Jos M., [616]

Thiran, Jean-Philippe, [890]

Thomas, B. D., [1518]

Thomas, P. D., [1487]

Thomasma, Scott A., [589]

Thompson, E. D., [1236]

Thompson, Paul M., [666]

Thompson, S. A., [1015]

Thomsen, Rene, [1405]

Thomson, Steven J., [55]

Thoreau, Etienne, [1264]

Thornton, Jane M., [1496]

Thuerk, Marcel, [449]

Thuiller, Wilfried, [401]

Tian, Lei, [27]

Tiedemann, Ulrich, [1444, 1453,1334]

Titkov, Y., [1221]

Tlusty, Tsvi, [313]

To, Cuong, [774]

Todd, Peter M., [452]

Toga, Arthur W., [666, 737]

Tohka, Jussi, [682, 737]

Tohumoglu, G., [1077]

Tokarski, John S., [1534]

Tomassini, Marco, [556]

Tominaga, Daisuke, [225]

Tominaga, Yukio, [1295]

Tomita, Masaru, [225]

Tong, Han-Seng, [840]

Tong, Jia, [785]

Tong, Ruofeng, [729]

Toombs, R., [458]

Torii, Toru, [24]

Torii, T., [62]

Torisu, Tasuhiro, [826]

Torn, Aimo, [480]

Torrealba, V., [619]

Torresen, Jim, [988]

Tossavainen, Teppo, [505]

Totoki, Yasushi, [281, 282]

Tourassi, G. D., [850]

Tout, K., [407]

Toya, Tomoyuki, [281, 282]

Toya, T., [1482]

Tranter, G. E., [602]

Traynor, J. R., [1301]

Treadwell, Jim N., [1107]

Treasurywala, Adi M., [235, 169,1481, 1507, 1519, 1311, 1263]

Treleaven, Philip C., [408]

Trelles, O., [207]

Tresp, Christopher, [1141]

Treugut, H., [630]

Trinkunas, G., [1514]

Tropsha, Alexander, [1283, 1593,1605]

Tropsha, A., [1597]

Tsai, Chi-Hung, [1382]

Tsai, Du-Yih, [959, 695,878, 1202, 900, 1232]

Tsai, D.-Y., [1226]

Tsai, Huai-Kuang, [290, 1382]

Tseng, Shian-Shyong, [69]

Tsoar, Asaf, [231]

Tsouris, Pantelis, [1084, 1089]

Tsuda, N., [1169]

Tsui, Hung Tat, [650]

Tsuji, M., [1173, 1177]

Tsujii, O., [858]

Tsumura, Norimichi, [790]

Tsuzaka, M., [886]

Tu, K., [29]

Tu, Z. H., [49]

Tucci, Francesco, [813]

Tucker, Allan, [747]

Tuffery, P., [1339, 1340]

Tuma, Jan, [1071]

Turcotte, Marcel, [1555]

Turner, David B., [1299]

Turner, S. J., [920]

Turney, Peter D., [1151]

Twery, Mark, [589]

Tyystjarvi, Esa, [222]

Tzafestas, Elpida S., [475]

Uberbacher, E. C., [1431]

Uchikawa, Yoshiki, [361]

Uebayasi, M., [178]

Ueda, Hitoshi, [826]

Uhl, Andreas, [742]

Uhrik, Carl, [61]

Ullner, M., [1446]

Undrill, Peter E., [821, 835,849, 859, 1196, 870]

Unger, Ron, [1599, 1322,1323, 1324, 1325, 1326, 1327, 1328]

Unniraman, Shyam, [296]

Unniraman, S., [298]

Uno, Kimitaka, [478]

Uno, M., [886]

Uppenbrink, J., [1496]

Uribe, Eliecer Herrera, [1125]

Urushihara, S., [1217]

Uutela, Kimmo, [1170, 896]

Vaarkamp, Jaap, [989]

Vachtsevanos, George, [683]

Vaerman, Vincent, [890]


Vahle, Katherine, [1270]

Vainio, Mikko J., [1276]

Vaisman, I. I., [1597]

Valafar, Faramarz, [158]

Valderrama, Patrıcia, [1128]

Valdivieso, M. C., [736]

Valente, Marc, [54]

Valenti, Cesare, [218]

Valisuo, Petri, [1100, 759,803]

Valli, Guido, [1155]

Valli, G., [627]

Vanhala, Jukka, [1341, 1342]

van den Honert, Chris, [1046]

van der Werf, J. H. J., [20]

Vanneschi, Leonardo, [1083]

Varetto, Louis, [376, 288]

Varmuza, K., [166]

Vasanyi, I., [1038]

Vasara, Petri, [431]

Vasquez, C., [619]

Vavak, Frantisek, [434]

Vecsei, Andreas, [742]

Veenman, C. J., [474]

Velthuizen, R. P., [918]

Velthuizen, Robert P., [844]

Vemuri, V. Rao, [337]

Venkataraman, Sridhar, [1545]

Vennart, W., [923]

Vercauteren, Daniel P., [1549, 1587]

Verdonk, Marcel L., [1403, 1413]

Verkhivker, Gennady M., [1467,1153, 1171, 1548, 1550]

Verkruysse, Wim, [1059]

Verosub, E., [1602]

Vesin, Jean-Marc, [891]

Vet, Louise E. M., [232]

Viator, John A., [1059]

Vico, F., [987, 996]

Vidal, Bernard, [34]

Vidal, Franck P., [775, 787, 811]

Viikki, Kati, [986, 1243]

Viles, J. H., [1496]

Villani, Marco, [610]

Villani, M., [421]

Villard, Pierre-Frederic, [811]

Villmann, B., [1179]

Villmann, Th., [1179, 1220]

Vinci, Victor A., [221]

Vinterbo, S., [974, 1253]

Virkkala, Raimo, [401]

Vivarelli, Francesco, [610, 1559]

Voigt, Christopher A., [1346]

Vollrath, Fritz, [259]

Volmer, Marcel, [992]

von Seelen, Werner, [1005]

Voronine, D. V., [1420]

Vossius, G., [953, 954]

Waagen, Don E., [1156]

Waelbroeck, H., [1044]

Wager, Tor D., [690]

Wagner, I. A., [141]

Wajnberg, Eric, [232]

Wakao, S., [1218]

Wakefield, Gregory H., [1011, 1046]

Walenz, Brian, [1542]

Wales, David J., [1500, 1586,1606]

Walker, J. D., [332, 198]

Walkowiak, K., [106]

Wallace, David R., [417]

Wallquist, A., [1446]

Walsh, Matthew C., [1109]

Walters, D. Eric, [168, 1485]

Wan, Fanghao, [40, 42]

Wan, Mingxi, [657, 659,1222]

Wandrey, C., [1560]

Wang, Aimin, [628]

Wang, Alan, [456, 457]

Wang, Ching-Hung, [69]

Wang, Ching-Lin, [808]

Wang, Chi-Yen, [118]

Wang, Chuin-Mu, [808]

Wang, Feng-Sheng, [562]

Wang, Honghui, [1112]

Wang, Hui, [1127]

Wang, H., [765]

Wang, Jaw-Lin, [1066]

Wang, Jia-Hua, [45, 52]

Wang, Junmei, [1612, 1254,1624, 1627]

Wang, Jun, [1112]

Wang, J., [1027, 1619]

Wang, Lei, [519]

Wang, Leuo-Hong, [1279, 1290]

Wang, Lihong V., [1028]

Wang, Liman, [293]

Wang, Lisong, [830]

Wang, Manning, [768]

Wang, P. P., [440]

Wang, Q. J., [424]

Wang, Shen, [1534]

Wang, Shuwen, [48]

Wang, Song, [763]

Wang, Xiao-Hui, [1227, 1228,1256, 1258, 926, 929]

Wang, Xingwei, [815]

Wang, Yuan, [1112]

Wang, Yunsheng, [40, 42]

Wang, Zunliang, [976]

Wanschura, T., [923]

Wasiewicz, P., [387]

Wasson, E. C., [1230]

Wasson, III, E. C., [1223]

Wasson III, Eugene C., [1157, 1184]

Waszkowycz, Bohdan, [611]

Watanabe, Masahiro, [997]

Watanabe, S., [1202, 1226,1232]

Watanabe, Toshinori, [1377]

Waters, M., [576]

Watson, Richard A., [485]

Weaver, D. F., [1524]

Webb, S., [983]

Wegener, M., [238]

Wehrens, Ron, [272, 274,1318, 1319]

Wei, Datong, [845]

Weicker, K., [580]

Authors 45

Weicker, N., [580]

Weinstein, John N., [1209]

Weistra, J., [834]

Wellen, Jeremy, [1275]

Weller, P., [1159]

Wells, Richard, [1093]

Wen, Lingfeng, [769]

Weng, Zhipeng, [1397]

Weng, Zhiping, [1363]

Wenzel, W., [1608]

Wermuth, Camille G., [1549]

Werner, H., [439]

Werner, James Cunha, [1021]

Werten, S., [284]

Weschenfelder, Thiago A., [529]

Westhead, David R., [611, 179]

Weuster-Botz, Dirk, [1560]

White, Bill C., [1025]

Wicker, R., [1032]

Wildenberg, Scott C., [177]

Wilkerson, R. C., [1115]

Wilkerson, Richard C., [1098]

Wilkinson, A. A., [833]

Will, Sebastian, [1361]

Willers, Jeffrey L., [59]

Willett, Peter, [1393, 173,1483, 612, 1528, 1532, 1552, 1571,1579, 1297, 1299]

Williams, Donald E., [1447, 170,171, 1343]

Williams, D., [412]

Williams, G. B., [907]

Williams, N., [1152]

Williams, Richard A. J., [1108]

Williamson, Michael P., [1571]

Wills, Christopher, [1347]

Wilmanski, K., [390]

Wilson, Elizabeth K., [1394]

Wilson, M., [436, 693]

Windshugel, Bjorn, [1123]

Winkler, David A., [1527]

Winston, Flaura K., [964]

Winter, Susanne, [764]

Winterer, G., [1162]

Wodak, Shoshana J., [1330]

Wolff, H. H., [1204, 908]

Wolfrum, Jurgen, [1525]

Wolfson, Haim, [1380]

Wong, A. K. C., [368]

Wong, Brian J. F., [1096]

Wong, C. P., [1183]

Wong, Man Leung, [635, 642]

Wong, Stephen T. C., [1112]

Wong, W. H., [1600]

Wong, Wing Hung, [1370, 1389]

Wongsarnpigoon, Amorn, [1114]

Woo, T., [1032]

Wood, D. Harlan, [379]

Woods, J. H., [1301]

Worden, Robert P., [245, 568]

Worgan, Hilary, [402]

Wrba, Friedrich, [742]

Wrede, Paul, [1430, 1450,1454, 1468, 1486]

Wright, Richard, [1636]

Wu, C. Y., [858]

Wu, Chien-Chang, [162]

Wu, Di, [50]

Wu, D., [43]

Wu, Jackie, [1026]

Wu, Jain-Shing, [162]

Wu, W. L., [960]

Wu, Wendy Xihyu, [1375]

Wu, Wen-Lan, [1000]

Wu, Xingen, [976, 977,1001, 1006, 1113]

Wu, Yanjun, [1275]

Wu, You-Min, [1237]

Wuthrich, Kurt, [1491]

Wuu, C. S., [1234]

Wyrick, Steven, [1605]

Wyss, Markus, [492]

Xia, Ling, [1075]

Xia, Xiaofeng, [1622]

Xia, X., [1623]

Xia, Yong, [769]

Xiao, Qiming, [40, 42]

Xiao, Yong Liang (Leon), [1447, 170,171, 1281, 1343]

Xiaobo, Zou, [93]

Xie, Bingyan, [40, 42]

Xie, Dexin, [766]

Xie, Gui Rong, [1533]

Xie, Guirong, [1580]

Xin, Y, [330]

Xing, Juan, [47]

Xing, Lei, [1026]

Xing, L., [1020]

Xingyi, Huang, [93]

Xinhe, Xu, [785]

Xiong, F. L., [72]

Xu, Dong, [1622]

Xu, D., [1623]

Xu, Guizhi, [519]

Xu, Kejun, [117]

Xu, Kexin, [1052]

Xu, Wenyao, [117]

Xu, Xiaojie, [1612, 1254,1624, 1627]

Xu, Xiaoyan, [699]

Xu, Xinmin, [117]

Xu, X., [1619]

Xu, Zhigang, [881]

Xue, Jinyue, [1026]

Xue, Ling, [152]

Yada, Tetsushi, [333, 345, 347]

Yadgari, Jacquline, [1582]

Yadgari, J., [1599]

Yaguchi, Toshiyuki, [1074]

Yamamoto, N., [71]

Yamamura, M., [300]

Yamany, Sameh M., [861, 1190,863, 893, 905, 921]

Yan, Weili, [519]

Yanch, J. C., [1146, 906]

Yang, Bingen, [1031]

Yang, Feng, [810]

Yang, Guozhen, [881]

Yang, H. Q., [43]

Yang, Haiqing, [53]


Yang, Jinn-Moon, [1350, 1382,553]

Yang, J.-J., [195]

Yang, M. M., [1321]

Yang, Shuo, [519]

Yang, Xiuyan, [1052]

Yang, Yang, [362]

Yang, Yong, [770]

Yanxiao, Li, [93]

Yao, Chang, [734]

Yao, D. Z., [1033]

Yao, Haibo, [27]

Yao, Jiansong, [53]

Yao, J., [1033]

Yao, Xin, [831, 1197,1257]

Yao, Yingying, [710]

Yap, Alex, [1601, 1603]

Yasuno, T., [1217]

Yau, D., [680]

Yauchi, Katsuhiro, [479, 494]

Yazgan, E., [899, 925]

Yazu, Yusuke, [426]

Yazu, Y., [430]

Ye, Jiang, [1418]

Ye, X., [736]

Yedid, Gabriel, [205, 213]

Yeh, Jinn-Yi, [755]

Yen, G. G., [661]

Yen, John, [174, 175, 249]

Yin, J. Y., [49]

Yin, Xiaohong, [753]

Ying, Wei, [785]

Yokobayashi, Yohei, [1515]

Yokobayashi, Youchei, [1616]

Yokoi, H., [1240]

Yokomori, Takashi, [292]

Yokoyama, H., [178]

Yokoyama, Shigeyuki, [292]

Yomo, Tetsuya, [1557, 1620]

Yomo, T., [1596]

Yoon, Hee Sung, [766]

Yoon, J. H., [415]

Yoon, Wan Chul, [499]

Yorita, Krista L., [1109]

Yoshida, H., [874]

Yoshikawa, Tomohiro, [361]

Yoshimi, M., [420]

Yoshizawa, Shuji, [936]

Youssef, Abou-Bakar M.,[722]

Youssef, Abou-Bakr M., [739]

Youvan, D. C., [1321]

Yu, I. K., [132]

Yu, J. J., [46]

Yu, Jiangbo, [734]

Yu, Yan, [1002, 1172,1176, 866]

Yu, Y., [978, 1235,1259]

Yuan, Qingwei, [753]

Yuming, Chen, [60]

Zacharia, E., [327]

Zaider, Marco, [955, 1008,1015]

Zaider, M., [634, 1234]

Zaki, M. J., [360]

Zakian, K. L., [634]

Zaliz, Romero, [311]

Zamboglou, N., [1013, 1014,1242, 1247]

Zamora, G., [693]

Zang, Yuwen, [830]

Zelefsky, M. J., [634]

Zerbato, Davide, [1082]

Zerbst, Ekkehard W., [948, 949]

Zervakis, M., [962]

Zhang, B. Y., [866]

Zhang, Changli, [48]

Zhang, Ching, [331, 368]

Zhang, Fang, [795]

Zhang, Hang, [909]

Zhang, Hongying, [704]

Zhang, H., [302]

Zhang, J. B., [978, 1235]

Zhang, Jiawan, [704]

Zhang, Jing, [728]

Zhang, Jinming, [1239]

Zhang, Junni L., [1383]

Zhang, Lei, [830]

Zhang, Pengpeng, [995, 1026]

Zhang, Rong, [1059]

Zhang, Su, [711]

Zhang, Xiujie, [786]

Zhang, Yanli, [766]

Zhang, Ying-Xin, [221]

Zhang, Yi, [767, 768]

Zhang, Yu, [1080]

Zhao, Qiangfu, [549, 555]

Zhao, Q., [544]

Zhao, Shanrong, [1288]

Zhao, Yingshi, [33]

Zhao, Yongming, [711]

Zhao, Zhimin, [1127]

Zhao, Zhongxu, [628]

Zheng, Bin, [815, 1227,1228, 1256, 1258, 926, 929]

Zheng, Bo, [167]

Zheng, C., [440]

Zheng, W. F., [1597]

Zheng, Weifan, [1283, 1593,1605]

Zhong, Yingchun, [767]

Zhou, Jia Ju, [1533, 1564]

Zhou, Jiaju, [1580]

Zhou, Su-Min, [1101]

Zhou, Xiaobo, [1112]

Zhou, Xiaodong, [659]

Zhou, Xiaozhou, [704]

Zhou, Xia, [33]

Zhou, Yaoyao Cui Xiaodong, [657]

Zhu, D. Z., [49]

Zhu, Feng, [1127]

Zhu, Ting, [760]

Zhu, Weihua, [1127]

Zhu, Yunping, [976, 977,1001, 1006]

Zhuang, W., [1420]

Zimmerman, D. E., [1484]

Zinchenko, Ljudmila A., [101]

Zmuda, Michael A., [196]

Zohara, Petra, [1058]

Zomaya, Albert Y., [506]

Zwick, Martin, [1316]

Zwickl, Derrick J., [216]

Zwir, I., [311]

Zydallis, Jesse B., [1376, 1388]

total 1619 articles by 3416 dif-ferent authors

Subject index 47

4.7 Subject index

All subject keywords of the papers given by the editor of this bibliography are shown next.

ABC, [530]

acoustics, [945, 362]

actuators

piezo-electric, [1031, 1056,1065]

acupuncture, [830]

adaptation, [477]

aerodynamics

fan blade profiles, [484]

agents, [460, 674, 524]

fuzzy, [88]

protein folding, [1336]

agriculture, [62, 79, 19]

animal breeding, [73, 90, 20, 23]

bibliography, [91]

breeding, [65, 69]

crop management, [85]

forage, [18]

fruit storage, [76]

fruits, [81]

fungicides, [31]

grape, [50]

greenhouse, [78, 32]

greenhouse control, [87]

greenhouses, [66, 68]

harvester, [38, 41]

horticulture, [25, 39]

hydroponics, [51]

imaging, [35]

irrigation, [57, 60, 64,67, 70, 72, 74, 84, 22, 33]

irrigation planning, [63]

livestock, [26]

mango, [54]

mushrooms, [43]

nitrogen, [36]

olive, [56]

optimization, [86]

photosynthesis, [59]

pomology, [15, 44, 45,46, 47, 49, 52]

quarantine, [40, 42]

remote sensing, [71, 36]

rhizosphere, [13]

robotic, [77]

rodents, [17]

rural land usage, [89]

seed discrimination, [83]

seed moisture, [30]

sprayer, [16]

support systems, [61]

timber harvesting, [75]

tobacco, [34]

tomato, [29, 48, 51, 53]

vehicles, [58, 88]

water networks, [82]

water resources, [80]

weed detection, [28]

winter wheat, [31]

AI, [468]

air pollution

forecasting, [442, 443]

altruism, [481]

amino acids, [1497]

analysing evolution

mutation, [227]

analysing GA, [262, 577]

ANOVA, [1539]

building blocks, [1376]

complexity, [1384]

convergence, [245]

crossover, [1501]

diversity, [1510]

dynamic environment, [395]

environment, [432]

fitness landscape, [1443, 618,1608]

mutation, [1328, 309]

mutation rate, [253]

niching, [491]

operators, [1406]

population size, [244, 1510,101, 525]

selection, [245, 805]

analytical chemistry

markers, [726]

aneurysm

aortic, [1107]

angiogenesis

cancer, [1123]

angiography

3D, [791, 798]

fluorescein, [688]

ICG, [115]

retina, [770]

retinal, [652]

animal breeding

mate selection, [73, 90, 20, 23]

sheep, [65]

animats, [565]

ant system, [123, 130, 148]

ant systems, [98, 125, 126,127, 128, 131, 132, 133, 137, 135,136, 138, 141, 142, 143, 145, 146,147, 150, 97, 100, 101, 102, 105,106, 108, 109, 110, 113, 114, 115,115, 116, 117, 120, 122]

ant systems

differential evolution, [112]

FPGA, [118]

parallel, [140]

TSP, [129]

antennas

MRI, [680]

APLOGEN, [600]

apples

Fuji, [49]

application

agriculture, [14]

medical imaging, [622]

wood industry, [595]


applications

forestry, [582]

medical, [758]

medicine, [951]

medicine?, [1152]

arterial stenosis, [1032]

artificial intelligence, [1632]

artificial life, [456, 457,469, 452, 471, 538, 376, 569, 576,485, 498, 674]

artificial life

animats, [565]

ant systems, [97]

evolution, [205, 213, 217]

atomic clusters, [1500, 1606,480]

ATP

metabolism, [184]

atrial fibrillation, [1058]

AutoDock, [1364]

automata

network, [1424]

automation

classification, [705]

backgammon

strategy, [566]

bacterial computing, [221]

bacteriorhodopsin, [1536]

Bayesian networks, [1182, 109]

bibliography

70 items, [1314]

agriculture, [91]

co-evolution, [581]


medicine, [1262]

proteins, [1629]

special, [1629, 581,91, 1262]

Big Bang

biological, [1385]

bin packing, [113]

biochemistry, [151, 173, 179,181, 183, 185, 153, 156, 157, 159]

biochemistry

aflatoxin, [180]

analysis, [177]

antibiotics, [155]

aroma, [163]

casein phoshorylation, [164]

DNA, [162]

docking, [170, 171]

gene regulation, [161]

glucose, [176]

metabolic model, [172]

metabolic models, [175]

metabolic pathways, [184]

metabolic systems, [174]

microarrays, [158]

molecular dynamics, [178]

pathogen bacteria, [167]

peptides, [182]

proteins, [168]

QSAR, [152]

UV, [160]

biodegradation, [230]

biodiversity

forest, [596]

forestry, [585]

prediction, [17]

bioinformatics, [1390, 1419]

DNA, [322, 328]

proteins, [1402]

biology, [190, 192, 186,187, 191, 188, 193, 194, 198, 236,239, 246, 248, 254, 262, 273, 207]

biology

Aves, [263]

botany, [222]

breeding, [250]

cell, [202]

cell regulation, [241]

cladistics, [203, 204]

D. Melanogaster, [208, 209]

ecology, [260, 264,210, 232]

ecosystems, [240, 242]

entomology, [200, 268]

ethology, [234, 259]

evolution, [196, 245,258, 269, 270, 199, 205, 213, 214,215, 217, 220, 227]

fitness, [229]

gene expression, [228]


genealogy, [224]

genetic networks, [225]

genetics, [195, 197,271, 201]

historology, [218]

mate choise, [212]

mate preference, [265]

metabolic engineering, [221]

metabolism, [247, 249, 223]

metaphors, [243]

modeling, [257]

modelling, [255]


phylogenetic tree, [233]

phylogenetic trees, [272, 274]

phylogeny, [206, 211, 216]

physiology, [252]

seeds, [226]

selection, [212]

sexual selection, [251, 212]

simulation, [237]

soil, [13]

species distribution, [231]

theoretical, [267]

biometrics

Populus clone discrimination,[582]

biophysics

brain activity, [1170, 896]

biotechnology, [1560, 183]

blood

serum, [1127]

blood circulation, [1071]

blood vessels, [740]

bone

texture, [1023]

bones

prosthesis, [996]

Subject index 49

BRA, [1390]

brachytherapy

implant, [1242]

brain

hematoma, [753]

hemodynamics, [690]

MR imaging, [846]

MRI imaging, [666]

brain anatomy, [1196]

brain-computer-interface, [1125]

brainstem

auditory evoked potentials, [773]

breeding, [250, 1163]

building blocks, [1501]

chemical, [1264, 1265]

cabbage, [25]

CAD, [1190, 101,1024]

drugs, [1263]

face, [1096]

mechanism, [1017]

medicine, [1149]

shape design, [1066]

CADD, [1268]

calibration

NIRS, [993, 1416]

cancer

bladder, [1039]

brachytherapy, [1113]

breast, [850, 1184,1221, 1223, 901, 1230, 1251, 919,1256, 926, 629, 965, 980, 653, 1010,696, 515, 705, 718, 733, 738, 743]

brest, [826, 640, 663]

chemotherapy, [1036]

colon, [742, 1132]

detection, [1157]

diagnosis, [515]

leucemia, [530]

lung, [679, 812]

mammograpgy, [662]

mammography, [917, 966,637, 641, 643, 645, 665]

melanoma, [1182, 1198,1204, 981, 681, 685, 692, 1028, 932,933, 763]

oral, [1035]

prostate, [735, 1123]

radiotherapy, [958, 961,1001, 1099, 1104, 1117]

sarcoma, [955]

skin tumor, [908]

treatment, [1191]

cancer radiotherapy, [1212]

CANFIS, [934]

canopy

imaging, [35]

capasitor placement, [112, 114]

cardiology, [903, 695]

acute coronary syndromes, [1079]

arrhythmia, [1211]

atherosclerotic plaque, [1062, 760]

diagnosis, [959]

ECG, [1075]

echo cardiography, [658]

elastography, [760]

imaging, [878, 713, 774]

infarction, [1253]

CAT, [1082]

cDNA, [327]

cell regulation, [241]

proteins, [1424]

cellular automata, [472, 570]

cephalogram, [924]

chemical shift

lipid-water, [702]

chemistry, [1304, 1310,1314, 1318, 1319]

analytic, [167]

analytical, [435, 177,1215, 436, 438]

bio-, [1517, 1518]

biochemistry, [169]

combinatorial, [1515, 1297,1347, 1371, 159]

combustion, [409]

drug design, [1280, 1281,1288, 1291, 1293, 1294, 1296]

macromolecule, [1429, 1299]

medical, [168]

medicinal, [1292]

organic, [1427, 602,1287, 1627, 1034]

pharmacophore elucidation, [599]

physical, [1277, 1279,172, 1504, 181]

structural, [285,1315, 1425, 1429, 605, 607, 1479,611, 1491, 1178, 350, 1525, 1541,1545, 1192, 179, 1572, 1290, 1575,1577, 1591, 1295, 1298, 1615, 1264,1348, 1349, 1265, 1301, 1351, 1268,1356, 296, 1358, 298, 1362, 1368,1271, 1380, 1382, 1387, 1276]

structural QSAR, [1618]

chemometrics

QSAR, [1116]

sugar content, [15]

wavelength selection, [614, 166]

chemometry

infrared spectroscopy, [992]

NIR spectroscopy, [226]

wavelength selection, [1043]

chemotherapy, [911]

CHN, [1288]

chromatography, [436]

chromosome length

56 bits, [1440]

classification, [947, 1148,838, 540, 1189, 863, 887, 1605, 925,962, 630, 477, 1355, 969, 991, 994,1377, 1021, 705, 516]

classification

cancer, [742]

EEG, [1131]

fuzzy, [695]

medical diagnosis, [750]

medical images, [774]

protein fold, [1332, 1333,1334, 1335, 1336, 1337, 1442, 1448,615, 617, 1521, 1526, 1554, 1555,1563, 1568]

rules, [1181, 1199]

soil samples, [13]

statistical, [1597]

tissue, [1175]

tumors, [837]

classifier

fuzzy, [1188]

protein fold, [1309]


classifier systems, [937, 946,450, 532, 539, 1161, 964]

coevolution, [482]

classifiers, [450, 944,1200, 433, 1374]

feature selection, [860]

climate, [248]

cluster analysis

evolutionary, [1106]

clustering, [152, 981,662, 665, 1022, 1053, 1073, 747]

clinical data, [1179]

DNA, [311]


fuzzy, [473]

Gustafson-Kessel, [35]

initialization, [777]

k-means, [228]

toxicity, [979]

clusters

atomic, [1500, 480]

molecular, [497]

co-evolution, [540, 486,504, 581]

cooperative, [994]

cochlea

implant, [789]

coding

2D, [391]

DNA, [361, 364]

integer, [1541]

interval, [445]

matrix, [391]


real, [391, 1539,1562, 976]

relative, [1614]

coevolution, [472, 503,455, 460, 461, 462, 447, 463, 465,450, 466, 467, 537, 538, 541, 544,545, 546, 547, 548, 549, 553, 554,555, 557, 558, 559, 560, 561, 564,565, 566, 567, 569, 570, 571, 572,573, 574, 575, 576, 580, 473, 474,475, 476, 477, 478, 479, 481, 483,485, 488, 489, 494, 495, 496, 499,501, 505, 506, 507, 509, 510, 511,513, 514, 515, 516]

coevolution

classifier systems, [482]

fuzzy, [980]

niching, [491]

cognition

testing, [690]

color

medical image visualisation, [721]

colors

visualization, [756]

comparison, [540, 150]

[1326], [1477]

ant systems, [124, 127, 114]

classification methods, [1243]

coding, [1614]

cost-sensitive classification, [1151]

CSEARCH, [1311]

direct search, [1507]

evolution strategy, [124]

experimental design, [1531]

GA worse, [349]

GARP vs other ecology modelingsystems, [591]

GARP vs othher ecology model-ing systems, [401]

GARP vs. several, [231]

host-parasite GA, [1604]

human, [1093]

image registration, [764]

in classification, [688]

in CT reconstruction, [879]

in diagnosis, [1227, 1258]

in docking, [1300]

in forest management, [587]

in graph partitioning, [483]

in image registration, [761, 797,799, 800, 801, 806]

in image thresholding, [530]

in machine learning, [1148]

in medical data mining, [656]

in melanoma prediction, [1198]

in protein folding, [1289, 1608]

in protein secondary prediction,[1555]

in protein sequence design, [1346]

in QAP, [146]

in regression, [1187]

in tomography reconstruction,[751]

in wavelength selection, [1128]

in wildlife planning, [585]

kinetic modeling, [529]

logistic regression, [1048]

Maxent, [1115]

Monte Carlo, [1464, 1583,1591]

multistart, [1608]

Nelder-Mead, [941, 1139]

neural networks, [1182, 688,688]

neural networks in protein sec-ondary structure prediction,[1559]

particle swarm, [32, 797, 801]


protein location, [1375]

quasi-Newton, [32]

random search, [1310, 1423,1591]

RSNR in docking, [1447]

SA in image registration, [745]

scoring, [1402]

simple stochastic algorithm, [349]

simplex, [174]

simulated annealing, [622, 1310,1326, 63, 124, 1501, 1510, 127, 179,1289, 1608, 1244, 1408, 112, 751]

stepwise linear regression, [1209]

stochastic tunneling, [1608]

tabu search, [124, 179]

vector quantisation, [1142]

Very Fast Simulated Re-Annealing, [941]

comparison in FPGA design, [117]

competition, [466]

complex systems, [532, 539]

complexity, [536, 542,348, 505]

compression

selective, [890]

computation geometry

forestry, [588]

computational biology, [244]

Subject index 51

computational geometry, [1295]

computer graphics

color, [756]

computer science

DNA, [348]

conformational analysis, [284]

conotoxin

Conus geographicus, [1178]

constraint satisfaction problems,[560]

control, [411, 434,578, 1011]

autonomous vehicle, [88]

blood pressure, [1150]

environmental, [391]

fuzzy, [87, 16]


greenhouse climate, [68, 95]

irrigation, [37]

mobile robot, [122]

model predictive, [32]

motion, [750]

optimal, [562]

plant physiology, [62]

plnt growth, [94]

pollution, [445]

prosthesis, [1070]

protheses, [938]

control/process, [547]

controller

fuzzy, [1164]

controllers

fuzzy, [118]

PID, [546, 548]

prosthetic hand, [988]

cooperation, [541, 555]

criminology, [1633]

crossover

2D, [391]

Cartesian, [1510]

DNA, [305, 306]

no, [1541, 1585]

one point, [1326]

real, [976]

systematic, [1617]

two point, [1477]

uniform, [1346]

crystallography, [1316]

molecular replacement, [1368]

Patterson map, [1429]

CT

angiography, [798]

brain, [753]

cancer, [809]

lung, [785, 811]

reconstruction, [879]

ROI, [785]

cultural algorithms, [138]

culture, [448]

cutting stock, [113]

cytology

image processing, [705]

data analysis

medical, [633]

data mining, [1209, 635,1078]

medical, [633, 656, 804]

microarrays, [158]

proteins, [1511]

databases, [951]

data mining, [642]

forestry, [583]

medical, [635, 642, 691]

retrieval, [691]

rules, [582]

datamaining, [1107]

decision making, [479]

decision support

medical, [911]

decision support systems

medical, [707]

decision trees, [1151, 1035]

decisions

diagnostics, [511]

medical, [866]

DENISE, [284]

dentistry

imaging, [893]

dermatology

chemical penetration, [1061]

dermatoscope, [763]

erythema, [1100]

skin lesions, [807]

wound healing, [1077]

design

computer network, [106]

implant, [1041, 1067]

shape, [1415]

detistry

periodontitis, [154]

diabetes

glucose sensing, [1051, 1052]

leg ulcers, [780, 788,793, 802]

retinal images, [688]

retinopathy, [688]

retipathy, [931]

sensoring, [1050]

diagnosis, [963]

breast cancer, [994, 738]

cancer, [1188, 1256,1260]

cardiac disease, [934]

cardiology, [959]

diabetes, [688, 688]

failure, [969]

fault, [651]

mammography, [1228]

medical, [867, 868,871, 638, 651, 661]

melanoma, [1204]

myocardial heart disease, [1232]

variable selection, [1045]

diagnostics

caries, [724]

differential evolution, [543, 550,562, 138, 578, 579, 480, 484, 490,497, 502, 508, 1405, 581, 512, 517,520, 521, 522, 525, 526, 527, 528,529, 530]

differential evolution



quantum, [522]

regression, [796]

differential GA, [413]

digital logic, [988]

discussion

[1001], [989, 1006]

diversity, [481]

DNA, [291, 284, 283,336, 244, 342, 345, 348, 363, 366,182, 183, 379, 386, 298, 307, 159]

DNA

alignment, [344]

analysis, [233, 330]

coding, [315]

coding regions, [319, 325]

exons, [339]

folding, [340]

introns, [339]

mapping, [290]

pattern analysis, [347]


phylogenetic trees, [346]

primer design, [162]

proteins, [365]

restriction fragments, [337]

sequence, [368, 380, 289]

sequence alignment, [299, 331,349, 389, 317]

sequence analysis, [357]

sequence assembly, [338]

sequence comparison, [343]

sequence reconstruction, [320]

sequences, [318]

sequencing, [369, 377, 321]

shuffling, [221]

structure, [350, 296]

transposable elements, [304]

DNA alignment, [281, 282]

DNA analysis, [280, 286]

DNA computer, [362, 302]

DNA computing, [294, 297,288, 341, 351, 352, 353, 355, 356,358, 359, 360, 367, 371, 373, 374,375, 376, 378, 381, 382, 383, 385,387, 388, 300, 303, 305, 306, 308,309, 313, 314, 221, 324]

DNA computing

genetic oscillators, [310]

NP-complete problems, [370]

SAT, [292, 293, 295]

theory, [384]

DNA mapping, [277]

DNA sequence analysis, [333]

DNA sequencer, [335]

DNA sequences

promoter, [334]

DNA sequencing, [276, 278,279, 198, 332]

DNA shuffling, [305, 306]

docking, [1285, 1286]

GOLD, [1414]

drug design, [1266, 1277,1278, 1279, 1282, 1283, 1285, 1286,1287, 1290, 1292, 1293, 1294, 182,183, 1295, 1297, 1298, 1299, 1264,1265, 1267, 1268, 1269, 1270, 1271,1272, 1274]

drug design

computational, [1276]

DNA breeding, [323]

QSAR, [1284]

E. coli, [174]

ECG, [1194, 1238]

P wave, [922]

echocardiography, [619, 620]

ecology

algae, [403]

antrax, [1086]

comparison in, [231]

distribution, [1063]

freshwater, [439]

GARP, [1115, 1120]

modeling, [1029, 401,591]

niche modeling, [1037, 1086]

species distribution, [1078, 1091,40, 42, 1098, 1108, 1109, 1121]

species distriution, [1111]

economic dispatch, [416, 147,517, 400]

environmentally constrained,[420]

economics

forestry, [593, 594]

heathcare, [1044]

life cycle assessment, [431]

paper industry, [431]

project planning, [63]

edge detection, [880]

editorial

agriculture, [21]

EEE

source modeling, [1246]

EEG, [1162]


epilepsy, [1131]

EFFC, [1577]

electrical impedance tomography


electromagnetics, [833, 842,854, 1218, 490]

antennas, [680]

inverse problem, [489]

Kirlian imaging, [630]

microwaves, [723]

MRI, [710, 722]

electromagnetism

coils, [888]

electromyogram, [875]

elitism, [1193, 888]

1/4, [1591]

0.1, [1541]

1, [1326]

emergence, [477]

symbiosis, [455]

emergent phenomenon, [537]

EMG, [947, 882]

encoding

permutation, [1477]

endocrinology

neural, [1065]

engineering

aerospace, [482, 484,651, 496, 507]

agriculture, [70]

Subject index 53

bio, [14]

bio-, [1560, 562]

biochemistry, [166]

chemistry, [409]

civil, [57, 63, 67,545, 1636, 102, 398, 399, 723, 526]

environment, [412]

environmental, [390, 393,410, 426, 428, 399]

mechanical, [1066]

medical, [624, 723]

nano-, [1050]

power, [409, 412,416, 420, 425, 132, 105, 112, 114,517, 400]

protein, [383]

radio, [842]

structural, [501]

vehicle, [58]

entomology

flea, [720]

lepidopterology, [200]

medical, [720]

entropy, [536]

environment, [392]

algae, [403]

climate change, [401]

dynamic, [419, 434]

emission control, [400]

ground water, [394]

groundwater, [413]

groundwater pollution, [415]

groundwater remediation, [411]

life-cycle, [417]

modeling, [424]

pollution, [406, 409,414, 422, 427, 398, 404]

pollution control, [418]

radionuclides, [396]

soil recovery, [402]

water, [429]

environmental issues, [416]

environmental science, [431, 433]

environmental sciences, [421]

contamination, [423]

environmental standards

emissions, [425]

enzymes

engineering, [383]

ligands, [1626]

enzymology, [1304]

epidemiology

malaria, [1186]

vectors, [1037]

epilepsy

prediction, [683]

ergonomics

transportation, [1636]

ergonomy

back, [1200]

erythema

UV induced, [1100]

estimation

nonlinear least squares, [393]

evaluations

1000000, [1326]

evolution, [458, 186, 187,453, 191, 188, 454, 468, 448, 456,451, 470, 457, 193, 194, 464, 469,452, 459, 471, 531, 532, 533, 534,535, 536, 241, 539, 342, 542, 261,551, 556, 569, 200, 270, 577, 1620,500]

evolution

communication, [613]

competitive, [546]

differential, [543]

directed, [159]

ESS, [258]

host-parasite, [558]

incremental, [988]

interactive, [1092]

language, [568]

mutualism, [485]

origin of life, [1347]


phylogenetic trees, [346]

phylogeny, [206]

populations, [262]

protein structures, [1385]

recombination, [208, 209]

simulation, [552, 1585,269, 205, 213, 214, 215, 217, 220,227, 229]

theory, [214]

evolution strategies, [1329, 192,948, 945, 390, 949, 1141, 1522, 553,1607, 579, 477, 487, 1005, 214]

evolution strategies

medicine, [953, 954]

tomography, [671]

evolution strategy, [1430]

evolutionary landscapes, [1389]

evolutionary programming, [942]

evolutionary strategies

1+1, [670]

evolvable hardware

FPGA, [1070]

experimental design, [357, 690]

Taguchi, [1066]

expert systems, [1318, 1189,871, 1224, 1243, 986, 651]

fuzzy, [661]

medical, [830, 655]

extinction, [493]

faces

recognition, [1631]

feature analysis

ligands, [1579]

feature extraction, [1595, 924,962, 1355, 27]

feature selection, [13, 1181,1199, 926, 1355, 438, 1374, 1272]

drug design, [1273]

features


features extraction, [629, 653]

FEM, [1066, 1082]

Bezier surface, [1041, 1067]

elastography, [760]

soil, [33]

tomography, [519]

fermentation, [1560]

ethanol, [166]

Gibberella fujikuroi, [154]


figure copying task, [750]

filters

digital, [176]

Gabor, [814]

matched, [740]

median, [835]

morphological, [832, 696]

optical, [681]

stack, [835]

texture, [859]

finite element mesh, [1062]

finite state machines, [358]

fishes

tuna, [260]

fitness

aesthetics, [1096]

exogenous, [576]

in tomography, [727]

interactive, [1046, 1081,1096]

landscape, [1500]

Monte Carlo, [1326]

noisy, [528]

fitness function

human, [565]

fitness landscape, [1443, 1608,505]

NK model, [486]


flow shop problem, [133]

fluorescence imaging

ICG, [796]

folding

proteins, [1507]

food

apples, [93]

fruits, [15, 44, 45,46, 47, 49, 52]

mushrooms, [43]

olive oil, [56]

peanuts, [180]

sugar, [44]

wheat, [1416]

food processing, [219]

food quality

insect infestation, [47]

peanuts, [180]

foraging

parasitoid wasp, [232]

forensics

dental images, [708]

forestry, [583, 594, 590]

distribution, [591]

economics, [593]

harvesters, [586]

harvesting, [584, 588]

logistics, [598]

management, [587, 589]

pine, [226]

procurement, [595]

timber, [596]

timber harvestry, [597]

timber management, [592]

Fourier series, [620]

FPGA, [233]

design, [117]

DNA, [329]

fitness function evaluation, [322]


SoC, [122]

Xilinx, [322]

fractals

IFS, [1193]

image analysis, [688]

visualisation, [318]

fruit treatment, [81]

fruits

apple, [45]

apples, [49]

cherries, [15]

citrus, [44]

mango, [46]

pear, [52]

fryuits

cherries, [47]

future

computational evolution, [518]

fuzzy logic, [247]

reasoning, [1202, 900,1226]

fuzzy reasoning, [1010]

fuzzy sets, [827]

fuzzy systems, [830, 414,445, 1251, 1260, 479, 488, 494, 994,689, 511, 515]

fuzzy systems

finite state machine, [705]


neural network, [934]

FuzzyCoCo, [1010, 511]

G protein, [366]

GA parameters, [1263]

GA-hard problem, [1316]

GA-P, [242]

GADELO, [941, 1139]

GADGET, [1399]

GALLOPS, [1477]

GAME, [1343, 171]

game theory, [533, 478]

evolutionary, [475]

games, [538, 565]

backgammon, [566]

pursuer-evader, [559]

Tron, [557]

GAP, [1289]

GAP1.0, [1524]

GARANT, [1491]

GARP, [17, 1063,720, 1086, 1091, 403]

climate change, [1121]

comparison to MAXENT, [40, 42]

DesktopGARP, [1078]

GIS, [1072, 1084,1089]

influenca, [1103]

influenza, [1108]

malaria, [1098]

monkeybox, [1109]

niche modeling, [1037, 1120]

plague, [1102]

Subject index 55

West Nile virus, [1111]

gastronomy

diet, [1038]

Gaussian mixture model

image segmentation, [798]

GEM, [1382]


metabolic pathways, [161]

generations

1000, [391]

120, [1303]

150, [1541]

20; 50; 100, [1507]

200, [1440]

300, [1327]

50, [1570]

6, [1515]

GENESIS, [1310]

genetic

gene expresion, [228]

human, [1060]

population, [267]

genetic algorithm


genetic code, [271]

genetic programming, [503, 460, 461,462, 447, 463, 193, 194, 1309, 467,1145, 1456, 1457, 1458, 239, 825,336, 242, 339, 1497, 126, 852, 1581,570, 576, 635, 1019, 1025, 685, 692,516, 1058, 1077, 1083, 750]

genetic programming


data mining, [1511]


in biochemistry, [154]

interactive, [691]

linear, [656]

metabolome, [223]

parallel, [138]

protein sequences, [1432]

proteins, [1437]

regression, [1048]

genetics, [304, 1035]

D. melanogaster, [208, 209]

DNA, [301]

gene-gene interaction, [1025]

phylogeny, [216]

proteins, [1345]

salmon, [229]

selection, [271]

GENFIT, [1613, 1625]

GENFOLD, [1571]

GENIE, [1039]

genome length

48 bits, [1343]

geochemistry, [396]

geology, [393]

geometric modeling, [1196]

3D, [870]

geophysics, [391]

groundwater, [393, 444,406, 410, 411, 413, 437, 441]

pollution, [440]

geosciences

ground water, [394]

Gepasi, [185]

GERM, [1580]

GFA, [1209]

GIS

GARP, [720]

glucose, [1215, 1043]

Gnets, [627]

GP

parallel, [774]

GPS, [16]

grammars, [635]

grape

pH prediction, [50]

graph partitioning, [136, 483]

graphene

structure, [520]

graphs, [145]

Hamiltonian, [359, 141]

greenhouse

climate, [96]

heating, [92]

temperature control, [32]

greenhouses

climate model, [39]

grippers

design, [1031]

GRNN, [640, 663]

ground water

flow, [394]

groundwater, [441]

bioremediation, [415]

haemoglobin, [116]

hardware

evolvable, [1240, 500]

evolving, [556]

proteins, [1480]

harvester

design, [38, 41]

harvesting

timber, [75]

harvesting.food

packing, [25]

health monitoring, [624]

hearing aid, [1011]

hierarchical, [449]

hip arthroplasty, [996]

HIPS, [1318]

histology, [863]

cancer, [901]

tissue classification, [1175]

horticulture

apples, [93]


greenhouses, [95]

hydroponics, [94]

host-parasite, [485, 486]

human plasma

triglycerides, [993]

hybrid, [175]

alternating, [1398]

ant system, [123]

ant systems, [121]

downhill simplex, [786]


FEM, [1062]

fuzzy logic, [249, 967, 502]

genetic programming, [242]

GP and logic programming, [635]

gradient, [1163]

gradient based method, [827]

local gradient, [716]

local search, [1277, 1352,732]

Markov model, [345]

maximum likelihood method,[698]

Monte Carlo, [1326]

neural networks, [1450,1454, 1468, 1486, 1168, 258, 557,875, 1237, 967, 36]

nonlinear programming, [393]

PCA, [27]

PSO and DE, [512]

simplex, [174]

simplex and conjugate gradient,[1310]

simulated annealing, [1436, 419,1510, 1537, 1290, 1575, 995, 1026]

support vector machine, [1421]

tabu search, [1619, 1409]

tabu-search, [706]

HYDRA, [340]

hydration

lattice model, [1344, 1365]

hydration?, [1374]

hydrology, [393]

rice fields, [37]

hydrophobic force, [1361]


image correction

deformation, [744]

image fusion

medical, [771]

image processing, [622, 940,1144, 821, 849, 850, 858, 859, 862,880, 917, 758]

image processing

3D, [623]

ant systems, [119]

automatic, [684]

border detector, [1145]

classification, [83, 899, 26,48]

compression, [890, 636]

CT, [927]

edge detection, [857]

faces, [1631]

feature extraction, [844, 514, 516]

feature selection, [839, 812]

filters, [509, 510, 696]

high-speed video, [1080]

image registration, [621, 686,512, 1275]

magnetic resonance, [1145]

matching, [834]

medical, [619, 620,623, 625, 626, 627, 822, 824, 827,828, 829, 836, 845, 851, 852, 889,901, 630, 654]

morphological, [820]

motion estimation, [713]

pattern recognition, [647]

recognition, [120]

reconstruction, [847, 853,869, 872, 927]

registration, [883, 1244,652, 678, 784, 795]

restoration, [835]

segmentation, [1137, 819,829, 852, 884, 887, 906, 918, 928,628, 474, 981, 666, 674, 676, 677,679, 681, 28, 1023, 685, 692, 701,1039, 1053, 734, 755, 119, 815]

shape, [736]

stereo, [574, 1097]

symmetry, [780, 788,793, 802]

testing, [509, 510]

texture, [629, 653]

thresholding, [530]

tomography, [519]

tracking, [26]

ultra sound, [675]

visual, [210]

wavelets, [839]

image processing?, [841]

image registration, [827, 893,923, 631, 670, 708, 115, 732, 738,754, 767, 770, 782, 795, 797, 800,801, 806, 809]

image registration

3D, [623, 820,883, 905, 650, 672, 706, 709, 712,731, 768]

CT and ultrasound, [764]

dental, [717]


fiducial configuration, [1122]

landmark, [729]

local, [729]

MRI, [912]

multimodal, [745]

mutual information, [672, 699,704, 741, 761, 786, 805, 810, 813]

non rigid, [792]

non-rigid, [711]

optic nerve, [799]

retina, [771]

retinal angiograms, [776]

image segmentation, [697, 1073]

Gaussian mixture model, [791]

thresholding, [530]

imaging

3D, [870, 713]

brain, [823, 714]

CT, [711]

electrical impedance, [840]

electromagnetic, [490]

eye, [740]

hyperspectral, [154]

Kirlian, [630]

magnetic resonance, [739, 752]

medical, [821, 823, 834,840, 841, 845, 849, 850, 854, 856,861, 862, 865, 870, 873, 876, 877,878, 880, 889, 891, 893, 894, 897,899, 900, 903, 908, 916, 927, 930,931, 634, 647, 654, 658, 674, 681,684, 685, 692, 695, 696, 701, 740]

MRI, [711]

multispectral, [910, 27, 1275,763, 1132]

NMR, [891, 907,923, 634]

ultrasonic, [878, 900, 649]

ultrasound, [657, 659, 711]

imaging skin, [685, 692]

Subject index 57

immune system, [459]

immune systems, [334, 138, 506]

immunology, [1206]

implant

FEM, [1042, 1076]

implants, [881]

cochlear, [1040, 1046,1081]

design, [1041]

prostate, [1234]

titanium, [1067]

implementation

APL, [603]

bacteria, [183]

C, [391, 1440]

Connection Machine, [418]

Convex 200, [391]

FORTRAN, [171, 1512]

Fortran 77, [182]

FPGA, [1070, 1097]

MasPar MP-2, [1577]

Mathematica, [552]

MATLAB, [404]

MIMD, [1277]

object-oriented, [600, 1476]

PARAM, [1512]

programming environments, [408]

transputers, [465, 407,1516]

IMRT, [1124]

incremental evolution

neural networks, [487]

indocyanine green

angiography, [115]

tissue perfusion, [796]

industrial economics

complexity, [505]

industry, [464]

infection

influenza, [1103]

malaria, [1098, 1115]

plague, [1102]

influenza

avian, [1103]

initial population

identical, [1326]

insects

butterflies, [268]

mosquitoes, [1078]

integer programming, [1234]

interactive GA, [789]

Internet, [554]

inverse problems, [625, 1075]

CT, [811]

EEG, [984]

electromagnetic, [489]

electromagnetics, [723]

medical, [896]

MEG, [896]

optical, [909]

radiotherapy, [973]

scattering, [1130]

thermal, [1169]

tomography, [765]

inversion, [449]

ITA, [1401]

iterated prisoner’s dilemma, [533, 481]

iterated prisoner’s dilemma , [478]

knapsack problem, [419]

knee

arthroplasty, [987]

knowledge based systems, [655]

Kohonen nets, [936]

Kolmogorov complexity, [1384]

L-lysine, [1560]

language

evolution, [568]

lattice model, [1585, 1623]

128mer, [1570]

27-mer, [1326, 1477]

2D, [1383]

64-mer, [1326, 1477]

fitness landscape, [1522]

HP, [1583, 1383,1407]

layout

ambulance locations, [1118]

layout design, [399]

learning, [458, 448,1338, 470, 583]

learning classifier systems, [1035]

LGANN, [610]

ligands, [1300]

limnology

pollution, [422]

water quality, [429]

LINKERS, [195]

liver, [817]

angiography, [798]

localisation

local moves, [1464]

logic, [386]

deduction, [1632]

logic programming, [635]

logistics

roads, [1636]

vehicle routing, [598]

LVQ, [1142]

machine learning, [946, 830,1490, 1168, 544, 862, 1559, 365,554, 1197, 871, 366, 557, 1208, 565,566, 567, 1223, 569, 1224, 571, 573,580, 438, 515, 932, 726, 1107]

machine learning

autonomous vehicle, [88]


clustering, [1106]

decision making, [1630]

Gaussian mixture model, [697]


image features, [812]

kernel-based, [1073]

medicine, [937]

rule induction, [582]

machine vision, [495]

registration, [1210]

structural light, [504]

tracking, [26]

macromolecules, [1443, 238,1282, 1599, 1297, 1299]


DNA, [285, 296,304, 328]

docking, [1542, 1267]

peptides, [182]


proteins, [1559, 1588,1357]

QSAR, [1527, 1533,1558, 1564, 1567]

RNA, [1192]

magnetoencephalography, [625]

maize, [36]

malari

vectors, [1078]

malaria

vector invasion risk, [1091]

vectors, [1063]

mammography, [826, 838,1175, 858, 1230, 629, 653, 511, 695]

diagnosis, [1257]

microcalcification, [889, 647]

mamography, [919]

management

decision support, [63]

mango

firmness, [54]

manufacturing, [135]

maps, [981]

Markov chains, [333]

matching, [675]

mean field, [1550]

mechanics

fluid dynamics, [1071]

fluidics, [1032]

medical imaging, [621, 819,822, 826, 832, 835, 836, 838, 840,844, 858, 859, 860, 863, 864, 884,887, 901, 906, 910, 915, 917, 918,921, 924, 928, 929, 628, 629, 632,637, 641, 643, 645, 670, 653, 657,660, 662, 665, 678, 703, 760, 764,782, 797, 799, 800, 801, 806]

medical imaging

3D, [631]

angiography, [689]

arteries, [659]

blood vessels, [828, 848, 857]

brain, [820, 846,883, 912, 668, 676, 704, 709, 715,741, 744, 745, 755, 769]

cancer, [909, 919,640, 663, 718, 733]

cardiology, [885, 890, 774]

chest, [867]

coloring, [738]

compression, [636]

CT, [847, 869,879, 667, 668, 736, 753, 785, 791,794, 811]

CT scans, [679]

dental, [697, 708,717, 724]

dermatology, [803]

diabetes, [914]

drug discovery, [1275]

ECG, [925]

EMRI, [779]

endoscopy, [742]

fluorescence, [796]

fMRI, [690]

fusion, [738]

heart, [713]

histology, [705, 767]

image quality, [808]

image registration, [905, 650,668, 672, 673, 686, 699, 704, 711,712, 728, 729, 731, 732, 757, 761,772, 786, 805, 810, 813]


impedance tomography, [892]

ITK, [670]

leucemia, [530]

lung, [809, 812, 815]

mammography, [926, 743]

melanoma, [932, 933]

microwave, [644]

monitoring, [698]

MR, [689, 795]

MRI, [913, 666, 672,680, 694, 700, 766, 702, 710, 714,722, 739, 744, 748, 752, 778, 784]

multi-modal, [905]

neurology, [768]

neutron, [853]

NMR, [833, 888,907, 923, 755]

online, [814]

optical, [763, 780,788, 793, 802]

optical tomography, [735]

PET, [737, 769]

radiographs, [843]

registration, [652]

retina, [688, 693,698, 716, 115, 734, 747, 754, 770,771, 776]

segmentation, [649, 682,725, 783, 790, 798]

skin lesions, [807]

sonar, [839]

SPECT, [668, 671]

surgery, [768]

tomography, [817, 818,872, 639, 646, 687, 706, 723, 727,746, 746, 749, 751, 762, 765, 775,777, 781, 787]

tumors, [837]

ultrasonic, [851]

ultrasound, [895, 675, 677]

videofluoroscopy, [792]

visual, [759]

visualisation, [721]


X-ray, [886]

x-ray, [719]

X-ray, [743]

medical imaging?, [842]

medical signal processing

ECG, [816]

EEG, [730]


medicine, [948, 942, 949,939, 941, 950, 1249, 975, 982, 1009]

medicine

accident resource allocation,[1134]

administration, [1044]

alcoholics, [1162]

anaesthesia, [1164, 985]

anaesthesiology, [1217]

anatomy, [1196, 1023]

andrology, [1166]

Subject index 59

anesthesia, [969]

anthrax, [1072, 1086]

arteriology, [1057]

Bacillus anthracis, [1121]

bibliography, [1262]

blood, [1043, 1127,1128]

brachyotherapy, [1235]

brachytherapy, [1013, 1014,1247]

brain interface, [1125]

brains, [827, 829]

cancer, [826, 845,1175, 1182, 1184, 1285, 1187, 1188,1191, 1195, 1198, 1203, 1204, 1209,1221, 1223, 901, 1228, 1230, 1234,908, 911, 1256, 1257, 1260, 955,961, 965, 966, 971, 980, 981, 994,1002, 1008, 1015, 681, 1028, 511,1034, 1049, 932, 933, 1104, 1113]

cardiology, [1007, 619,620, 627, 1145, 1150, 1158, 1163,1194, 1201, 1202, 1207, 885, 1211,900, 1225, 1226, 1232, 916, 1253,657, 1003, 1018, 1058, 1062, 1075,934, 1079, 1112, 1119]



clinical trials, [943]

consultation system, [1143]

CT, [736]

cytology, [1039]

data processing, [1146]

decision support, [1255, 1036]

decision tree, [1214]

dengue, [1037]

dentisry, [967]

dentistry, [1190]

dermatology, [1059, 1061,1077, 1100, 1130]

diabetes, [1215, 1050,1051, 1052, 1133]

diagnosis, [952, 1151,1189, 1197, 1202, 1208, 1213, 900,1224, 1226, 1227, 1233, 1243, 915,1251, 1258, 929, 959, 965, 966, 974,991, 1019, 1021, 688, 511, 1048,769]

diagnostics, [644, 999,1010, 1085]

dianostics, [830]

diet planning, [1038]

drug design, [1281, 1282,1287, 1288, 1289, 1290, 1291, 1298,1300, 1273, 1274]

ECG, [904]

editorial, [1094]

EEG, [1142, 1193,1125]

electromyography, [946]

EMG, [947, 1168]

endoscopy, [669]

environmental, [397]

epidemiology, [1161,964, 1029, 1037, 1063, 1072, 1078,1084, 1089, 1091]

ergonomy, [1200]

gait, [960]

gastroenterology, [1045]

gastrology, [868, 963]

genetic maps, [1060]

genetics, [972, 1025]

genome, [998]

geriatry, [991]

gerontology, [968]

glaucoma, [1016]

hearing, [1046, 1081,1092]

hearing aid, [997]

hematology, [993]

hemodynamics, [1032, 1071]

hemorrhagic blood loss, [1205]

hepatology, [1237]

histology, [1157, 962]

HIV, [1153, 1254,1116]

HIV-1, [1171]

hospital mortality, [1245]

human genetics, [1148]

imaging, [623, 626,1137, 1144, 823, 876, 782]

implantable lung, [1030, 1047,1074]

infection, [1098, 1102,1103, 1108, 1109, 1111, 1115, 1121]

infections, [1120]

instrumentation, [945]

K, [1178]

laparoscopic intruments, [1017]

learning, [1185]

malaria, [1186, 1084,1089, 1091]

mammography, [1156, 836,841, 860, 874, 889, 1227, 1258, 647,1004]

management, [1118]

MEG, [625]

mobile service, [1087]

MR-imaging, [1141]

mutations, [1060]

neurology, [1136, 1168,1170, 1181, 855, 1199, 887, 1218,1219, 1222, 1233, 1246, 956, 984,986, 990, 1005, 676, 683, 689, 690,1040, 1065, 715, 730, 1090, 1092,1093, 750, 1114, 1126, 1131, 1135]

neurosurgery, [1122]

nuclear, [1241]

obstetrics, [633]

odantology, [921]

oncology, [1259, 983,995, 1020, 1026, 1027, 1033, 1035,1068, 1099, 1101, 1105, 1110, 1124,1129, 1132]

ophthalmology, [1210, 1244,931, 990, 688, 693, 698, 1053, 716,1073, 734, 740, 747, 754]

oral, [893]

orthopaedy, [1066]

orthopediatry, [1093]

orthopedy, [1231, 1000,1042, 1076]

osteoporosis, [1231]

paraplegia, [1252]


peptides, [1123]

pharmacokinetics, [1083]

pharmacology, [979]

pharmacy, [160]

physiology, [1174, 1180,1183]

plastic surgery, [1088, 1096]

pre-eclampsia, [1054]

prediction, [1159]

prostate, [1229, 634,978]

prostehesis, [1070]

prosthese, [1176, 1240]

prosthetic hand, [988]

prosthetics, [675]


protheses, [938]

psychiatry, [1220]

psychitry, [957]

psychology, [1179, 1239]

radiation therapy, [1138, 1147,1160]

radio therapy, [958]

radiology, [834, 1177,1107]

radiotherapy, [1013, 1014,1140, 1149, 1165, 1167, 1172, 1173,1177, 866, 1212, 1234, 1242, 1250,973, 976, 977, 978, 989, 1001, 1006,1055, 1117]

report on activities, [985]

review, [1154]

sensing, [1011]

sensoring, [1155]

signal processing, [1238, 1248,1092]

sleeping, [936]

smoking cessation, [1139]

surgery, [1150, 1216,969, 987, 996, 669, 1012, 1024,1031, 1041, 1056, 1064, 1067, 1069,1082, 1095, 1106]

thermotherapy, [1169]

tomography, [940]

toxicology, [1236]

urology, [1166, 1189,1208, 1224, 1243, 655]

virology, [1206]

vision, [935]

vision impairment, [1097]

vocal fold, [1080]

would healing, [1077]

yellow fever, [1192]

melanoma, [1195]

memes, [568]

memetic algorithm, [1384]

memetic algorithms, [138]

messy GA, [1428, 1441]

MessyGA, [1395]

met-enkephalin, [1505]

metabolic modeling, [247, 249]

metabolism, [237]

meteorology, [391, 248]

micro-arrays, [1049]

microarrays


microbiology, [189, 235,183, 219]

Pseudomonas putida, [230]

microfluidics

mixer, [1415]

microscopy

endoscopy, [742]

military

fighter aircraft, [482]

min-max DEGA, [521]

mines

soil recovery, [402]

missiles

design, [496]

modeling

biochemistry, [165]

biology, [257]

ecosystems, [240, 242]

hemodynamics, [1032]

membrane potential, [1065]

polyominos, [1088]

modeling evolution, [518]

modelling

motivation, [1634]

MOGA, [1030]

molecular biology, [256]

molecular clusters, [1343, 497]

molecular computer

protein, [187]

molecular computing

DNA, [307]

molecular docking, [1343]

molecular dynamics, [1178, 1541]

molecular evolution, [449]

Monte Carlo, [1570, 1586]

MRI

chemical shift, [702]

Dixon acquisition, [702]

excitation pulse design, [722, 748]

excitation trajectory design, [694,700]

experimental design, [778]

monohedral, [766]

open magnet, [710]

random trajectories, [752]

RF coil design, [680]

multi-objective optimisation, [726]

mutation, [449]

Gaussian, [1382]


0.001, [1477]

0.016, [1346]

nerve fibre activity, [1183]

neural network

fuzzy, [1238]

neural networks, [1338, 935,947, 624, 950, 14, 818, 1430, 841,540, 858, 1527, 1205, 1227, 1621,1258, 956, 477, 1269, 319, 29, 325,515, 51]

neural networks

Bayesian, [1256, 110]

biological, [252]

cascade correlation, [1559]

cellular, [654]

classification, [1181, 1194,1199, 878, 900, 901, 1257, 969, 663,1003, 1034, 48]

control, [76, 81, 87,1093]

data mining, [656, 804]

diagnosis, [965]

feature extraction, [962]

forecasting, [442, 443]

fuzzy, [922, 638, 28]

Hopfield, [1353]

hybrid, [610, 1570,182, 1000]


incremental evolution, [487]

knowledge, [1143]

Kohonen, [936, 628]

learning, [549, 1195]

machine learning, [1197]

medical applications, [831]

pattern recognition, [863, 991]

perceptrons, [575]

Subject index 61

planning, [77]

prediction, [1162]

pruning, [219]

self-organizing map, [433]

simulation, [1005]

SOM, [661]

structure, [1159, 573,1025]

support vector machine, [1421,167]

taining, [1184]

training, [1157, 843,265, 677, 508, 398]

traning, [878]

walking, [960]

weights, [1277]

neural networks 7evolution, [498]

neural stimulation

waveform, [1114]

neuroimaging

MRI, [737]

neurology

amyloid fibrils, [1420]

BAEPS, [773]

brain activity, [896]

brain imaging, [891, 666]

cancer, [1129]

dementia, [769]

epilepsy, [855, 1246,984, 683, 1126, 1131, 1135]

ion chennel conductance model-ing, [165]

motoneurons, [1219]

nerve activity, [1183]

Parkinson’s disease, [750]

prosthesis control, [1070]

sleep, [1181, 1199,956]

vestibulo-ocular reflex, [990]

neurons

io channel modeling, [1090]

niche, [1312, 1263,1163]

niche GA, [729]

niching

coevolution, [491]

NIRS

seed moisture, [30]


NK model, [459]

NMR, [1318, 854,888]

brain imaging, [755]

excitation pulse, [739]

imaging, [913]

NMR imaging, [823, 660]

NOESY, [1318]

noise, [198]

nuclear magnetic resonance, [1461]

OBDD

variable ordering, [522]

ocosystem

evolution, [524]

offspring

6, [1510]

oncology


radiotherapy, [983,995, 1020, 1026, 1027, 1033, 1068,1105, 1110]

onemax problem, [101]

operating room

scheduling, [1064, 1069]

ophthalmology

diabetes, [693]

glaucoma, [1053, 1073]

retinal imaging, [1210]

opthalmology

retinal imaging, [799]

optical coherence tomography, [760]

optics

design, [616]

mirrors, [579]

photometry, [335]

ray tracing, [616]

skin, [1130]

skin imaging, [681]

optimisation

diet, [1038]

multi-objective, [1388, 1406,694, 1030, 700, 1047, 399, 1074,328, 757, 772]

multiobjective, [1087]

optimization

by differential evolution, [543]

constrained, [553, 572, 476]

global, [1277, 1606]

multi-objective, [915]

multimodal, [337]

multiobjective, [422]

Pareto, [1163]

penalty, [1477]

review, [1547]

orthopaedy

implants, [1066]

overview

docking, [1380]

parallel GA, [465, 944, 951,1428, 1277, 1441, 1477, 1482, 610,340, 1495, 418, 1512, 1516, 1577,1206, 138, 1004, 216, 673, 676, 678,1395, 321, 816]

parallel GA

coevolution, [507]

environment, [405]

grid, [719]

island, [289]

pseudo, [121]

PVM, [835]

transputers, [407]

workstations, [647]

parallel GP, [503]

parallel processing

ant systems, [108]

processor array, [108]

Pareto, [1066, 757,772]

MRI, [694, 700,702, 702]

Parkinson’s disease, [160]

PARM, [1533, 1580]

particle swarm, [32, 520, 1093,120, 790]

particle swarm optimisation, [512,527]


patent, [461, 462,1610, 1616, 917, 958, 153, 637, 641,643, 645, 1373, 155, 662, 997, 156,1002, 665, 1085]

patents, [1591]

path planning, [77]

mobile robots, [58]

pattern recognition, [622, 13, 889,573, 910, 1355, 969, 658, 1000, 515]

pattern recognition

blood cells, [703]

DNA, [345]

EEG, [730]

FFT, [742]

graphs, [141]

medical, [870]

melanoma, [1204]

molecular, [1483]

NMR spectrum, [1319]

optic disc, [716]

protein fold, [1315, 1595]

protein sequence, [1599]

protein sequences, [1457]

spectrum, [436, 438]

tumor, [908]

PCA, [769, 1125]


PCR, [291]

PCR-microchip, [167]

peanuts

aflatoxin, [180]

peptide

Baldwin, [609]

peptides, [1515]

bactericidal, [1591]

structure prediction, [1601]

peptin

alpha-1, [609]

HELP, [609]

perceptrons, [969]

pharmaceutics, [1573]

pharmacology, [366, 182]

drug design, [1267]

macromolecules, [1532, 1549]

QSAR, [1627]

toxicity, [979]

pharmacophore, [173]

pharmacy, [1301]

pharmasy, [1269]

phase transitions, [483]


phylogenic tree

DNA, [322]

physical chemistry, [1312, 1263,1343]

physics

bio-, [1062]

material, [520]

medical, [874, 881]

molecular, [1279, 298]

optics, [1050]

radiation, [433]

solid state, [1429]

physiology, [1205]

eye movements, [990]

nutrition, [1180]

vision, [1244]

voice, [1080]

PID controllers, [548]

placement

FPGA, [117]

planning, [465, 595]

harvesting, [584]

layout, [1118]

menu, [1038]

operating room, [1069]

plastic surgery, [1088]

strategic, [592]

therapy, [955]

wildlife, [585]

planning radiotherapy, [794]

plants

spectra, [222]

pollution, [397, 444, 423]

control, [439]

fuel spills, [438]

groundwater, [437, 441]

monitoring, [446]

NOx, [409]

oil spills, [436]

traffic, [404]

water, [414]

pollution control, [435]

polymorphism, [210]

polypeptides, [1516]

Met-enkephalin, [1539]

pomology

cherries, [15]

cherry, [47]

popular, [532, 539, 183]

ant systems, [103, 107]

directed evolution, [1394]

DNA breeding, [323]

DNA computer, [326]

DNA computing, [287, 316]

evolution, [254]

molecular docking, [1556]

optical computing, [326]

protein computing, [1480]

protein engineering, [1394]


quantum computer, [326]

swarm intelligence, [103]

population

multiple, [1139]

spatial, [493]

population size, [451, 563]

10; 50; 200; 400; 1000, [244]

10;50;100, [1312]

100, [622, 1343,1591]

1000, [1477]

200, [1326, 1327,1570, 1361]

24, [1515]

40, [391]

400, [1423]

50, [1440, 1541,1346]

50; 100, [1507]

Subject index 63

500, [1303, 1318]

populations

viscous, [481]

post mortem dental identification,[708]

power dispatch, [412]

power systems

economic dispatch, [400]

predator-prey, [210]

prediction, [707]

breast cancer, [1203]


survival, [1019]

principal component analysis, [152]

problem solving, [462]

process

bio-, [562]

fermentation, [163]

production economics, [464]

environmental management,[430]

Kansei, [561]

programming environment

object-oriented, [407]

Prolog, [587]

proportional fitness, [1310]

prostate implants, [1008, 1015]

protein

alignment, [1442]

apamin, [609]

APPI, [609]

conformation, [1357]

crambin, [609]

docking, [1300, 1403]

folding, [459]

melittin, [609]

QSAR, [1422]


solvent, [1552]

structure, [1552]

tachyplesin-I, [609]

yeast, [1375]

protein databases, [1320]

protein docking

comparison, [1417]

GOLD, [1403, 1413,1417]

protein engineering, [1602]

DNA breeding, [323]

protein fold

detection, [1442]

recognition, [1595]

protein folding, [1329, 1338,1339, 1302, 1303, 1310, 1316, 1317,1321, 1322, 1323, 1305, 1307, 1309,1311, 1312, 1263, 1313, 1314, 1318,1324, 1325, 1331, 1340, 1341, 1342,1343, 1426, 1427, 601, 1433, 1437,1439, 1443, 1444, 1446, 1453, 1462,1464, 1465, 1478, 609, 1487, 1488,1489, 1494, 1500, 1501, 1510, 1283,1512, 617, 1516, 1521, 1524, 1525,1531, 1535, 1537, 1538, 1543, 1551,1553, 1289, 1599, 1600, 1601, 1602,1611, 1617, 1620, 1348, 1349, 1373,1399, 1400, 1404, 1419]

protein folding

ab initio, [1565, 1401]

ab initio prediction, [615]

alpha helix, [1569]

amyloid fibrils, [1420]

artificial intelligence, [1431]

binding sites, [1421]

by fragments, [1412]

coding, [1614]

crambin, [1455]

de novo, [1450, 1454,1463, 1536, 1540, 1379]

de novo design, [1496]

easy access, [1475]

evolution, [1557]

fast approximative solutions,[1435]

fitness landscape, [1608]

fold assignment, [1492]

fold recognition, [1517]


homology modeling, [1423]

hydration, [1378]

in solution, [1495]

landscape, [1529]

lattice model, [1326, 1327,1328, 1477, 1503, 1522, 1570, 1583,1585, 1622, 1628, 1344, 1352, 1358,1359, 1360, 1361, 1365, 1370, 1378,1383, 1389, 1407, 1409, 1411]

messy GA, [1441]

Monte Carlo, [1609]

myoglobin, [1436]

NMR, [1319, 1571]

NMR spectroscopy, [1362]

off-lattice, [1408]

optimization, [1586, 1606]

peptide conformation, [1577]

peptides, [1505]

polypeptides, [1610, 1616]

prediction, [1332, 1333,1315, 1334, 1335, 1337, 1428, 1431,1434, 1448, 1451, 1503, 1523, 1526,1544, 1555, 1559, 1563, 1568, 1575,1589, 1603, 1623, 1384, 1395, 1406]

review, [1330, 1547,1566, 1584, 1396]

scaling, [1608]

secondary structure, [1554]

secondary structure prediction,[1336, 1445]

structure alignment, [1363]

structure prediction, [1539]

tutorial, [1308]

protein folding?, [1278]

protein foldinging

prediction, [1509]

protein sequences, [1437, 1457]

protein structure, [1578]

Haar transform, [1546]

proteins, [1318, 1430,1438, 1279, 1452, 170, 171, 1470,1485, 1497, 1498, 1513, 1515, 1518,1290, 266, 1598, 183, 1354, 1390]

proteins

(Met)-enkephalin, [1428]

17-residue, [1178]

albumin, [1043]

amino acids, [1456]

apolipoprotein epsilon4, [991]

beta sheets, [1460]

bibliography, [1629]

bioactivity, [1580]

classification, [1458, 1581,1375]

coagulation factor IX, [1541]


combinatorial library, [1593]

comparison, [1549]

conformations, [1615]

crystallography, [1368]

data mining, [1374]

design, [1379]

directed evolution, [1270, 492]

docking, [1306, 169,1447, 1467, 1471, 1474, 608, 1479,1481, 1483, 1153, 1508, 1171, 1519,1528, 1542, 1548, 1550, 1556, 179,1206, 1297, 1298, 1612, 1619, 1350,1351, 1356, 1364, 1366, 1369, 1380,1387, 1393, 1274, 1405, 1413, 1414,1417]

drug design, [1285, 1286]

enzyme effectiveness, [1304]

enzymes, [385, 1626]

evolution, [1596, 305,306]

fingerprints, [1604]

folding, [1466, 340,1415]

function estimation, [1377]

G, [366]

G-protein, [272, 274]

gloco-, [1541]

GPCR, [1402]

HIV-1 protease, [1171]

homology, [1284]

homology modeling, [1491, 1544]

HP-model, [1360]

interaction, [1511]

L-lysine, [1560]

lattice model, [1493]

ligand, [1469]

ligand recognition, [1504]

ligands, [1306, 168,1471, 1474, 1481, 1483, 1490, 1528,1532, 1545, 1579, 1588, 1591, 1618]

Met-enkephalin, [1466]

NMR, [1461, 1621]

NMR spectra, [340]

origin, [1347]

PCR, [303]


phylogeny, [1506]

QSAR, [1449, 1469,1527, 1530, 1533, 1534, 1558, 1564,1567, 1572, 1209, 1594, 1605, 1367,1371]

receptors, [612]

recognition, [1153]

secondary structure, [610, 1559]

sequence alignment, [1392]


sequence comparison, [1590]

sequences, [1473]

sequencing, [1576]

side chain conformation, [1346]

signal, [202]

signals, [1472]

spectroscopy, [1386, 1391]

structural elements, [1520]

structure, [1425, 1429,1468, 1484, 1486, 1541, 1561, 1573,1574, 1587, 1597, 164]

structure alignment, [1363, 1397,1410]

structure comparison, [1440,1613, 1625]

structure comparisons, [1459]

structure motifs, [1410]

structure prediction, [1388, 1562,1353, 1376, 1381, 1388]

tertiary structure, [1575]

thermostability, [492]

threading, [1582, 1599]

thymine dimer, [350]

transmembrane domain, [1457]

transmembrane sequences, [1476]

water, [1355]

zinc finger, [1561]

proteins folding, [1254, 1624,1627]

side-chains, [1382]

proteins?, [1502]

proteomics, [225]

cardiology, [1112]

PSO, [529, 530]

source location, [1135]

psychiatry

dementia, [991]

diagnosis, [957]

psychology, [1633]

behaviour, [1636]

biological, [1046, 1081]

decision making models, [1630]

motivation, [1634]

perception, [1631]

physiological, [690]

reasoning, [1632]

work, [1635]

psychotherapy, [1220]

pulmonary embolism, [1048]

puuttuu (ISI), [1123]

QAP, [146, 150, 108]

QSAR, [1422, 1438,1452, 1280, 1534, 1573, 1578, 1580,1587, 1591, 1605, 1615, 1254, 1299,1627, 152, 1272, 1034, 1414]

QSAR

binary, [1371]

chromatography, [1367]

inverse, [1593]

QSPR, [1572]

QSPR, [1280, 1570,1602]

quality control, [489]

quantum computing

DNA, [301]

quantum GA, [522]

quasispecies

coevolution, [309]

quasispecies algorithm, [449]

radiation therapy

geometry, [1160]

radiography

subtraction, [719]

radiology, [1177, 1234,1241]

implants, [1172]

thorax, [782]

radiosurgery, [866]

radiotherapy, [1140]

beam optimization, [1055]

images for, [834]

implant, [1002]

Subject index 65

IMRT, [1027, 1033,1099, 1105]

intensity-modulated, [1020, 1068,1110]

intesity-modulated, [1104]

optimisation, [1124]

planning, [1165, 976,1001, 1008, 1015]

reaction kinetics, [1304, 185]

reasoning

fuzzy, [1232]

recognition

face, [1631]

recombination

crossover vs. mutation, [1389]

DNA, [383]

recursive, [1270]

registration

retinal image, [1210]

regression, [1280, 614,176, 1187, 1627]

exponential, [1113]

iPLS, [93]

logistics, [1101]

neural networks, [439]

PLS, [614, 1043]

radiation dose, [1113]

variable selection, [38, 41]

regressions, [1209]

reliablility, [651]

REM, [936, 1583]

remote sensing, [71, 396]

agriculture, [27, 37]

satellite image, [523]

soil moisture, [33]

renormalisation

simulated annealing, [1408]

report on activities

medicine, [985]

response surface

changing, [392]

retina, [1244]

ICGA, [776]

retinal imaging

indocyanine green, [652]

review, [471]

[306], [305]

agriculture in Japan, [24]

ant systems, [134, 139]

biocomputing, [275]

biomedical applications, [898]

cell computing, [275]

Computer-aided molecular de-sign, [1291]

DNA computing, [354]

GA in anaimal breeding, [90]

GA in drug design, [1288]

global optimization in chemistry,[1606]


medicine, [970]

molecular design, [1296]

neuro-fuzzy rule generation, [638]

of [209], [208]

operating room scheduling, [1095]

protein folding, [1547, 1607,1372, 1396]

protein structure prediction,[1418]

soft computing in agriculture,[55]

urology, [1166]

review of

[213], [217]

review of [293], [295]

review of [314], [312]

review of [1528], [1556]

rivers, [414]

RNA, [1443, 607,1493, 1626]

folding, [606]

secondary structure, [603, 604]

roads

junctions, [1636]

robotics, [364]

autonomous, [16]

control, [730]

grippers, [1031]

medical, [669]

mobile, [77, 16]

robots

sheepdog, [26]

routing, [1087]

vehicle, [58]

rule based system, [871]

rule based systems, [830, 1208,1224, 1233, 638, 1010]

fuzzy, [543]

medicine, [957]

programming, [386]

rule-based programming, [386]

rule-based systems, [259]

safety

traffic, [1636]

SAGA, [344, 317]

SAT

DNA computing, [292, 293,295, 312, 314]

scattering

inverse, [1130]

scheduling, [465, 64, 550,499]

ant systems, [131]

cellular automata, [506]

constrained, [75]

forestry, [587]

harvesting, [75]

operating room, [1064, 1069]

power, [132]

project, [98]

timber harvest, [597]

scheduling ¿/operating room, [1095]

screening

diabetic retinopathy, [693]

seeds

germination, [226]

segmentation, [1146, 913,930, 474, 637, 641, 643, 645]

3D, [737]

CT, [777, 785]

segmentation?, [872]

selection

Boltzmann, [1473]


random, [1541]

roulette wheel, [1541]

sexual, [265]

tournament, [1464, 1477,1346]

self assembly, [308]

self-organization, [459]

self-replication, [303]

senses

touch, [252]

sensing

hearing, [1011]

sensoring, [969]

sequence alignment

multiple, [317]

serum

triglyseride, [1127]

set covering problem, [137]

sexual selection, [452]

age, [199]

evolution, [269]

sperm allocation, [215]

SGA, [1583]

shape design, [579]

eggs, [263]

FEM, [1415]

shape model

B-spline, [666]

sheep breeding, [65]

Si-H clusters, [497]

signal procesing

medical, [922]

signal processing, [939, 1207,1238, 758, 527]

classifiers, [882]

compression, [1193]

ECG, [1194, 816]

EEG, [1125, 1135]

electrocardiographs, [1158]


FPGA, [816]

medical, [825, 875,904, 920, 683, 773, 789]

neural network-based, [335]

NMR, [1598]

speech, [1046, 1081]

wavelets, [1003]

signal processsig

medical, [882]

silicon clusters, [497]

silviculture

management, [587, 589]

simple GA, [250]

Simpson-Baldwin effect, [270]

simulated annealing, [529]

simulation, [190, 186,187, 191, 188, 195, 193, 194, 941,531, 535, 239, 241, 259]

simulation

catheter, [1057]

diffuse optical tomography, [735]

evolution, [552, 493]

NIR spectroscopy, [1420]

sexual selection, [251]

spider’s web, [254]

surgery, [1012]

skin

melanin, [1130]

skin modeling

optical, [803]

skull, [667]

snakes, [884, 928, 930]

software testing, [509, 510]

soil

recovery, [402]

solid modeling, [1196]

SOM, [661]

spactroscopy

NIR, [36]

spectra

radiation, [433]

spectroscopy

2D correlation, [1420]

acidity, [53]

biomedical, [902, 648]



fluorescence, [222]

Fourier, [1391]

FT near-infrared, [93]

FT-IR, [154, 230, 402]

FT-NIR, [43, 45, 46,49, 52]

infrared, [614, 176,992, 1386, 1391]

IR, [223]

mass, [1054]

melanoma, [1028]

near infrared, [15]

near-infrared, [34]

NIR, [614,1215, 993, 226, 1043, 1051, 1052,932, 1416, 933, 116, 44, 1100, 47,759, 166, 50, 53, 54, 56, 1133]

NIRS, [1127]

NMR, [1319, 602,1461, 1484, 1491, 1541, 1598, 902,1621, 1362]

Raman, [154, 164]

skin, [1059]

visible, [50, 54]

wavelength selection, [992, 932,933, 1100, 50, 54, 1128, 1129]

X-ray scattering, [1574]

spiders, [259]

spin-glass, [449]

splines, [1097]

sport

timetabling, [513]

SQUID, [1018]

STALK, [1542]

stereo vision

on-line, [1097]

stochastic processes

Markov, [224]

strain testing

arteries, [657]

implant, [1042]

structural biology, [238]

structure

molecular, [1061]

subdivision, [501]

subpopulations, [453, 481]

Subject index 67

sugar-cane, [69]

support vector machine, [767]

surafaces

superquadrics, [885]

surgery, [764]

MRI, [710]

operating room scheduling, [1095]

planning, [987, 996, 798]

protatate, [1024]

simulation, [1082]

spinal, [768]

survey

microarray data analysis, [158]


system estimation, [59, 1217]

system identification, [564, 515]

telecommunications

routing, [125, 136]

test case

spin-glass, [449]

testing

software, [504]

text book, [138]

theory

evolution, [563, 577]

therapy

UV, [160]

thermography

ulcers, [780, 788,793, 802]

thomography

cancer, [777]

TIERRA, [532, 539]

Tierra, [205, 213, 217]

time series

air pollution, [442, 443]

Mackey-Glass, [1197]

medical, [726]

prediction, [575]

timetabling, [513]

tissue

skin, [681]

tissue perfusion

ICG, [796]

tomato

disease diagnosis, [48]

salt-stress, [223]

storage, [29]

tomography, [818, 894, 906]

brain, [676]

CT, [725, 777]

EIT, [519]

EMRI, [779]

impedance, [840, 892]

lung, [736]

medical, [867]

MR, [890, 756]

NIR, [765]

NMR, [1196]

OCT, [760]

optical, [763, 765, 807]

PET, [737, 756,775, 787]

reconstruction, [646, 671,687, 727, 733, 746, 746, 749, 751,762, 775, 787]

SPECT, [671]

Tikhonov regularization, [1075]

ultrasonic, [876]

X-ray, [886]

x-ray, [687]

tomography elasto-mechanical, [733]

TOPAS, [1264, 1265]

toxins

aflatoxin, [180]

tracking, [450]

traffic

psychology, [1635]

training

surgery, [1024]

transplantation

liver, [1237]

transposons, [551]

trees

phylogenetic, [346]

TSP, [824, 129, 130,134, 139, 1352, 1366, 1384, 121]

442 cities, [449]

ant systems, [104]

tutorial, [1366, 111]

ant systems, [99, 144, 149,111]

computational biology, [266]

data mining, [157]

DNA computing, [316]

GA in drug design, [1282]

power engineering, [105]

protein design, [1592]


QSAR, [1293]

QSPR, [1294]

typogenetics, [288]

ultrasound, [945]

bone, [667]

urology, [871]

USA, [990, 1008,1015]

variable selection

regression, [1101]

variance, [192]

vascular tree

lung, [815]

vectors

Yersinia pestis, [720]

venoms

snail, [1178]

virus

evolution, [309]

yellow fever, [1192]

vision

early, [1005]


palette design, [756]

vitamin

K, [1178]

VLSI, [500]

design, [522]

FPGA, [757, 772]

VLSI design, [988]

waste water treatment, [526]


water

evaporation, [37]

pollution, [427]

water distribution network, [67]

water loss

tomato, [29]

water networks, [82]

distribution, [100, 102]


interval, [34, 93]

NIR, [1043, 1052]

NIRS, [1215, 402, 47]

wavelets, [851, 925, 728]

wheat

protein, [1416]

wildlife

forest, [596]

wildlife hazards, [399]

x-ray scattering, [1357]

Annual index 69

4.8 Annual index

The following table gives references to the contributions by the year of publishing.

1967, [458, 151]

1972, [190]

1973, [1329]

1977, [938]

1979, [192]

1980, [948]

1985, [186, 187, 453, 191, 945]

1986, [188, 953]

1987, [954]

1989, [1304, 621, 454, 468]

1990, [448, 390, 455, 456, 460, 461, 462, 284,195, 1338, 1136]

1991, [447, 937, 942, 451, 582, 463, 285, 946,465, 949, 196, 197, 470, 1339, 817]

1992, [935, 1302, 1303, 276, 939, 392, 622,457, 1310, 1630, 193, 194, 464, 1316, 1317, 947, 1321, 1322,1323, 469, 583, 1332, 1333]

1993, [619, 620, 936, 435, 391, 1305,277, 940, 1306, 449, 1307, 941, 13, 189, 450, 278, 279, 452,1308, 599, 1309, 393, 623, 943, 1311, 1312, 1263, 459, 280,1313, 281, 282, 283, 944, 1314, 1315, 1318, 1319, 1320, 1324,1325, 1326, 1327, 1328, 624, 286, 466, 467, 625, 1330, 950,1331, 1334, 1335, 1336, 471, 287, 626, 1337, 600, 951, 952,14, 1340, 627, 1341, 1342, 288, 198, 1343, 818, 234]

1994, [531, 1422, 1423, 1424, 1137, 819,1425, 331, 1426, 1427, 168, 601, 1138, 1139, 1140, 1141,1142, 1428, 1429, 532, 1430, 1431, 1432, 1277, 57, 1433,1434, 1435, 533, 235, 1633, 1436, 1278, 169, 592, 405, 1143,1437, 1438, 1439, 1279, 1144, 1440, 444, 1441, 1442, 534,58, 535, 1443, 602, 536, 406, 1444, 1445, 59, 820, 236, 1145,407, 332, 1446, 1447, 333, 1448, 1146, 821, 1449, 1147, 1450,1451, 593, 237, 1452, 822, 1453, 238, 170, 1454, 408, 1455,171, 1456, 1280, 1457, 1281, 1458]

1995, [1459, 1460, 603, 1461, 604, 823, 1462,60, 239, 1148, 240, 334, 1463, 241, 1464, 824, 825, 1465,1466, 1467, 172, 173, 605, 335, 1468, 606, 1149, 1469, 336,1470, 826, 242, 61, 243, 409, 537, 1471, 827, 828, 1472, 410,1473, 1474, 1475, 1476, 62, 607, 608, 244, 1477, 1478, 594,1479, 245, 1480, 1481, 63, 1150, 64, 829, 609, 1482, 1151,337, 610, 611, 1483, 1152, 174, 1484, 411, 1485, 246, 1153,612, 1486, 538, 1154, 830, 338, 1155, 412, 1487, 1156, 175,339, 613, 831, 1157, 1629]

1996, [123, 1488, 832, 413, 1489, 614,1490, 1491, 1492, 340, 65, 65, 833, 247, 341, 1493, 1494,1495, 1158, 414, 66, 834, 615, 248, 835, 836, 124, 1496, 1159,1160, 539, 67, 837, 838, 1497, 1498, 342, 68, 1499, 343, 839,1161, 415, 69, 249, 1500, 1501, 1502, 250, 416, 595, 1503,251, 1162, 1504, 840, 841, 1505, 1163, 616, 417, 1164, 1506,418, 842, 1507, 1165, 419, 1166, 344, 1167, 1508, 540, 1282,1168, 843, 1509, 1510, 1511, 176, 541, 844, 125, 845, 542,1283, 846, 70, 543, 1512, 420, 1513, 345, 94, 1514, 1169,1170, 1171, 177, 71, 1172, 1173, 1515, 847, 848, 126, 617,1516, 849, 127, 1517, 850, 1518, 1174, 851, 1519, 346, 1520,178, 618, 95, 852, 544, 1175, 347, 853, 1176, 1177, 72, 1521,128, 545, 546, 434]

1997, [1178, 1284, 1179, 1180, 1522, 1523,1524, 348, 349, 1634, 1181, 350, 1525, 351, 854, 73, 352,855, 1182, 856, 252, 74, 253, 1183, 857, 858, 596, 1526, 254,1184, 353, 859, 421, 129, 255, 354, 75, 1285, 1527, 355, 256,1528, 257, 1529, 1530, 258, 1531, 1532, 1533, 1534, 1185,422, 1186, 1187, 1535, 1536, 547, 1537, 1538, 1188, 1539,1286, 259, 860, 1189, 1540, 260, 1541, 1542, 1287, 861, 1543,1544, 1545, 1190, 76, 1546, 548, 597, 445, 261, 1547, 423,356, 1548, 1549, 77, 1191, 446, 1550, 1551, 78, 1552, 1192,262, 549, 424, 1553, 357, 1635, 358, 862, 550, 1554, 1555,1556, 1288, 1193, 863, 551, 425, 1557, 130, 1558, 359, 426,79, 1194, 360, 1559, 864, 179, 1560, 865, 866, 867, 361, 80,362, 263, 1561, 868, 264, 1562, 552, 1563, 363, 364, 1564,553, 1565, 365, 1195, 81, 554, 1566, 555, 1567, 1196, 1197,869, 1568, 870, 871, 1569, 556, 872]

1998, [873, 366, 557, 1289, 874, 1570, 1198,1199, 1571, 367, 1572, 558, 131, 1200, 1290, 1573, 180, 82,1574, 368, 83, 875, 1201, 1202, 1575, 1636, 1576, 1291, 876,877, 369, 878, 1203, 84, 370, 879, 1577, 559, 371, 1292, 880,881, 1204, 1578, 560, 372, 1579, 1580, 561, 1293, 427, 132,882, 1205, 1206, 562, 883, 1581, 1582, 1583, 85, 1584, 1207,1585, 373, 374, 1208, 884, 885, 375, 1209, 563, 1586, 181,1587, 428, 86, 265, 1588, 564, 1210, 886, 429, 1211, 1212,887, 565, 888, 1294, 1589, 889, 1213, 1214, 566, 890, 891,1215, 266, 892, 1590, 1216, 1591, 567, 893, 1592, 133, 1593,894, 1217, 1594, 1595, 87, 1218, 895, 1596, 896, 1597, 376,1219, 182, 1220, 1221, 568, 1598, 897, 1599, 1222, 1600, 267,898, 899, 183, 900, 1223, 134, 377, 569, 378, 570, 1224, 901,1225, 571, 1295, 1226]

1999, [200, 135, 902, 903, 904, 1601,184, 905, 1602, 1603, 572, 1227, 1604, 136, 1605, 1228, 906,1229, 573, 137, 138, 1230, 1296, 379, 1231, 1606, 139, 1232,140, 268, 1233, 1234, 1235, 1297, 380, 907, 269, 574, 1607,1608, 575, 908, 1609, 1236, 88, 96, 1237, 909, 141, 598, 1610,910, 911, 381, 912, 1298, 1611, 1238, 1612, 1613, 1239, 1240,913, 1241, 1614, 1242, 1243, 914, 142, 270, 915, 143, 1244,89, 1245, 144, 1615, 1246, 1616, 1247, 916, 1248, 576, 1249,382, 1250, 271, 383, 185, 1251, 577, 145, 146, 1252, 272, 384,1617, 90, 917, 918, 919, 920, 578, 921, 579, 1618, 385, 1253,1619, 1254, 273, 430, 1299, 1620, 431, 386, 922, 1255, 923,387, 1300, 1621, 432, 1256, 1257, 924, 147, 1258, 148, 1259,925, 1622, 1623, 926, 149, 927, 1624, 1625, 928, 150, 1260,274, 1626, 388, 1627, 929, 930, 580, 1628, 433, 931, 389]

2000, [472, 473, 394, 1344, 289, 628, 955, 97,1345, 956, 1346, 474, 957, 199, 1347, 958, 1264, 1348, 98,959, 475, 584, 960, 961, 1349, 1265, 1266, 436, 962, 1267,629, 630, 290, 963, 1301, 631, 291, 632, 437, 633, 476, 964,1350, 15, 1351, 965, 292, 1352, 1268, 152, 293, 1353, 1354,966, 477, 294, 478, 967, 479, 153, 99, 295, 634, 1355, 635,480, 1356, 636, 201, 968, 296, 1357, 969, 481, 1358, 970,1359, 1631, 971, 637, 972, 1360, 297, 482, 154, 1269, 1361,298, 1362, 483, 16, 973, 638, 974, 1363, 639, 484, 975, 17,1364, 640, 976, 977, 978, 18, 1365, 979, 299, 980, 485, 641,981, 642, 643, 644, 645, 1366, 646, 670]

2001, [647, 202, 1270, 300, 301, 100, 203, 438,648, 486, 649, 204, 1367, 1632, 302, 982, 983, 650, 984, 487,1368, 985, 19, 1369, 986, 1370, 488, 303, 489, 987, 205, 651,652, 20, 304, 101, 102, 653, 1371, 654, 439, 988, 305, 655,395, 1372, 989, 490, 491, 1373, 206, 990, 492, 493, 656, 991,155, 657, 1271, 1374, 275, 658, 494, 1272, 992, 659, 21, 207,993, 1375, 660, 994, 995, 495, 661, 22, 496, 208, 23, 1376,662, 996, 1377, 997, 998, 103, 156, 104, 999, 1000, 663, 306,209, 1001, 24, 307, 105, 664, 25, 1002, 1003, 1378, 1004,1005, 106, 497, 665, 1006]

2002, [308, 666, 210, 211, 1007, 1008, 1009,107, 1010, 309, 1379, 212, 667, 440, 108, 310, 498, 499, 157,26, 1011, 1011, 158, 213, 668, 669, 159, 214, 1380, 311, 109,500, 1381, 312, 1382, 110, 501, 502, 1383, 215, 1012, 441,396, 216, 1013, 397, 1384, 1014, 1385, 585, 671, 217, 1386,


313, 218, 1387, 672, 219, 1388, 1388, 314, 220, 1015, 503,315, 1016, 1017, 673, 674, 504, 675, 505, 1389, 221, 676, 677,1018, 506, 507, 678, 316]

2003, [1390, 679, 160, 1391, 111, 1019, 1020,1392, 222, 317, 318, 680, 319, 1393, 681, 1394, 1395, 1396,27, 223, 320, 28, 1021, 1397, 508, 1398, 161, 682, 321, 1399,1022, 1023, 1400, 1401, 1024, 1273, 683, 1025, 684, 1402,1403, 685, 1274, 686, 1404, 224, 1026, 687, 1027, 1405, 1406,1407, 1408, 225, 688, 689, 226, 690, 322, 1409, 29, 398, 323,324, 691, 325, 1410, 692, 30, 326, 509, 510, 581]

2004, [1028, 1029, 92, 693, 694, 227, 511,31, 695, 1411, 442, 512, 1030, 162, 112, 113, 513, 1031, 696,163, 514, 697, 114, 1032, 698, 586, 699, 228, 1033, 1034, 700,515, 701, 1050, 766]

2005, [1035, 1036, 1037, 1038, 702, 1039,1040, 1041, 1042, 1043, 1044, 1412, 1045, 1046, 703, 443,704, 1047, 1048, 1049, 587, 705, 706, 707, 32, 1051, 1052,1053, 1054, 1055, 1056, 1413, 708, 516, 1057, 1058, 1059,1414, 709, 1060, 588, 710, 711, 33, 1415, 932]

2006, [712, 1061, 399, 713, 1062, 1063, 1064,1065, 1066, 714, 34, 1067, 715, 716, 1068, 717, 1416, 718,719, 1069, 1070, 1071, 720, 589, 1072, 35, 115, 721, 1073,517, 722, 1074, 723, 1075, 724, 725, 400, 36, 401, 726, 1417,727, 728, 1076, 229, 590, 518, 230, 729, 730, 37, 519, 731,732, 933, 1261, 91]

2007, [934, 1077, 231, 733, 1078, 1079,734, 1080, 735, 1081, 116, 1082, 327, 1083, 1084, 38, 402,736, 1085, 1418, 1086, 39, 737, 1087, 738, 739, 740, 1088,741, 1089, 1090, 742, 743, 1091, 520, 1092, 744, 164, 745,746, 746, 1419, 1093, 1094, 1275, 747, 521, 117, 1420, 748,40, 93, 41, 749, 750, 42, 751, 1262]

2008, [522, 752, 1095, 753, 1096, 118, 1097,1098, 43, 754, 523, 44, 45, 1099, 755, 46, 1100, 47, 48, 119,756, 328, 1101, 757, 758, 759, 760, 761, 762, 1102, 763, 764,165, 765, 767, 768, 769, 770, 771, 772]

2009, [773, 166, 49, 774, 1103, 1104,50, 775, 51, 52, 53, 1105, 776, 777, 1106, 54, 778, 779, 780,1107, 1108, 1109, 1110, 120, 781, 1111, 403, 782, 783, 784,785, 1421, 1112, 1113, 786, 55, 56, 167, 787, 788, 789]

2010, [790, 404, 1114, 791, 1115, 591, 1276,792, 793, 1116, 1117, 1118, 1119, 1120, 1121, 794, 795, 796,798]

2011, [1122, 797, 524, 525, 1123, 799, 1124,800, 1125, 801, 802, 803, 804, 1126, 805, 806, 121]

2012, [1127, 1128, 1129, 1130, 807, 808,809, 232, 810, 811, 1131, 329, 1132, 526, 812, 813, 814, 233,1133, 815, 330, 527, 528]

Geographical index 71

4.9 Geographical index

The following table gives references to the contributions by country.

• Algeria: [512, 745, 522, 119, 761]

• Argentina: [311]

• Australia: [286, 824, 831, 65, 70, 545, 73, 1527, 1287,424, 1197, 557, 181, 182, 1601, 1603, 384, 90, 386, 100,20, 102, 23, 680, 1063, 1078, 1088, 769, 774]

• Austria: [1142, 1443, 1493, 1547, 135, 575, 671, 687,742, 166]

• Belgium: [99, 1330, 288, 128, 129, 1549, 890, 376, 134,136, 139, 144, 272, 149, 274, 979, 211, 319, 38, 41, 1095,1102]

• Brazil: [535, 855, 1185, 446, 572, 1238, 922, 1353, 993,218, 1019, 1029, 92, 35, 517, 1084, 1089, 791, 591, 798,1128, 529]

• Bulgaria: [944, 1615]

• Canada: [818, 331, 1479, 1151, 417, 1507, 1524, 1537,264, 552, 1289, 368, 1598, 1252, 1621, 1268, 1362, 484,205, 305, 658, 213, 1386, 1017, 674, 1389, 1404, 699,714, 229, 1418, 752, 1117, 1120, 1124]

• China: [60, 72, 1530, 1533, 80, 1561, 1564, 1580, 887,1222, 909, 1298, 1612, 1619, 1254, 1622, 1623, 1624,1627, 628, 584, 290, 646, 302, 984, 657, 659, 496, 673,507, 678, 1027, 1409, 29, 1033, 766, 704, 1049, 1052,710, 711, 33, 1075, 728, 729, 730, 519, 734, 117, 40, 93,42, 753, 43, 45, 1099, 46, 48, 765, 767, 768, 770, 49, 50,52, 53, 1105, 785, 1421, 786, 56, 167, 795, 1127, 635,639, 642, 650, 322, 398, 748]

• Colombia: [1251, 1260, 970, 994, 1010, 719, 1125]

• Croatia: [820]

• Cyprus: [946, 947, 1168]

• Denmark: [418, 262, 1358]

• Egypt: [722]

• Finland: [583, 471, 1341, 1342, 592, 593, 1459, 594,1629, 1490, 595, 1170, 1189, 871, 1208, 896, 1224, 1233,598, 1613, 1243, 431, 1625, 1628, 433, 1344, 480, 1365,203, 986, 655, 103, 1378, 502, 396, 504, 505, 222, 508,682, 326, 509, 510, 581, 442, 586, 443, 588, 932, 590,933, 91, 737, 521, 1262, 1100, 759, 781, 1276, 525, 1123,803, 526, 527, 528]

• France: [937, 623, 1336, 1424, 241, 243, 83, 84, 883, 138,140, 916, 145, 97, 1264, 631, 15, 304, 669, 317, 1022,224, 691, 1040, 1415, 34, 518, 1092, 758, 773, 775, 776,54, 120, 787, 789, 232, 1132]

• Germany: [98, 1013, 1014, 192, 468, 1136, 949, 470,1302, 1303, 1332, 1333, 449, 1314, 1315, 1331, 1334,1335, 1426, 1141, 1430, 1434, 1438, 1444, 407, 1448,1451, 1452, 1453, 238, 1455, 1470, 1475, 615, 1162,543, 617, 95, 1521, 1179, 1522, 348, 1525, 1526, 354,1543, 78, 1635, 862, 550, 130, 1560, 1563, 1568, 1569,366, 1577, 1204, 1293, 428, 1211, 1592, 133, 1220, 1225,1608, 908, 96, 1242, 1247, 1248, 146, 1617, 388, 580,1267, 630, 632, 1359, 1361, 101, 654, 439, 656, 1005,1009, 309, 108, 214, 215, 1406, 513, 163, 1087, 764]

• Greece: [1007, 1210, 1244, 475, 962, 652, 21, 668, 1018,703, 327]

• Hungary: [848, 263]

• India: [1512, 618, 261, 1193, 1207, 289, 636, 296, 971,972, 298, 638, 301, 1632, 497, 713, 716, 1417, 934, 741,743, 520, 744, 1419, 1103, 51, 779, 783, 784, 1119, 797,801, 804, 805, 1131, 814]

• Iran: [1034, 1414, 718, 919, 653]

• Ireland: [579]

• Israel: [1599, 267, 904, 141, 629, 307, 1380, 324, 709,726, 231, 1090]

• Italy: [600, 627, 408, 604, 1462, 61, 610, 1155, 123, 124,252, 421, 1546, 1551, 1553, 425, 1559, 1566, 876, 884,563, 1589, 892, 906, 914, 143, 928, 150, 930, 931, 644,1004, 1023, 30, 696, 698, 701, 1035, 723, 1082, 1083,523, 794, 1122, 813, 1133]

• Japan: [291, 294, 503, 455, 936, 280, 1313, 281, 282,283, 14, 533, 1143, 1144, 58, 536, 333, 237, 822, 826,828, 62, 607, 1482, 830, 832, 1489, 1495, 342, 1499,250, 416, 1506, 419, 420, 345, 94, 1169, 71, 1173, 1515,847, 1516, 1174, 346, 178, 544, 347, 853, 1177, 856,258, 1531, 76, 77, 549, 359, 426, 79, 864, 865, 867, 361,364, 81, 555, 869, 872, 1202, 369, 878, 879, 1578, 560,372, 561, 85, 86, 265, 886, 894, 1217, 1594, 1595, 87,1218, 1596, 900, 377, 901, 1295, 1226, 1232, 268, 1609,1610, 1240, 913, 1241, 1616, 430, 1620, 927, 959, 292,478, 967, 479, 300, 489, 491, 1373, 493, 494, 1377, 997,24, 25, 316, 161, 225, 689, 695, 1030, 1042, 1047, 1070,1074, 1076, 782, 790, 121]

• Jordan: [740]

• Kazakhstan: [1121]

• Malaysia: [1043, 1130, 809]

• Marocco: [473]

• Mexico: [66, 68, 82, 1229, 17, 660, 1012, 217, 1024, 686,1037, 1044, 530]

• New Zealand: [585, 733]

• Norway: [255, 1345, 201, 988, 500, 1399, 777]

• Pakistan: [727, 746, 749, 751, 762]

• Poland: [246, 857, 131, 387, 1372, 104, 106, 506, 320,1053, 1073]

• Portugal: [548, 564, 981, 515]

• Romania: [397, 371, 378]

• Russia: [551, 137, 577]

• Singapore: [912, 973, 982, 1370, 1041, 1067]

• Slovenia: [1213, 1214, 1255, 975, 648, 999, 1058]

• South Africa: [675]

• South Korea: [875, 882, 573, 956, 476, 16, 499, 1396,1408, 44, 796]

• Spain: [472, 343, 1182, 1195, 1198, 1574, 1584, 1590,184, 1614, 1357, 488, 987, 207, 996, 110, 1412, 705, 712,401, 731, 732, 39, 1106, 404, 800, 806, 1134]

• Sweden: [1536, 558, 1604, 486, 1381, 226, 1055, 1135]

• Switzerland: [542, 127, 556, 891, 1265, 980, 492, 511]

• Taiwan: [299, 817, 1279, 414, 839, 69, 840, 851, 422,445, 553, 1290, 1201, 427, 562, 897, 924, 960, 1350,649, 1000, 1382, 1392, 688, 162, 112, 706, 1066, 118,755, 808]


• Thailand: [37]

• The Czech Republic: [257, 902, 395, 707, 1071]

• The Netherlands: [284, 285, 1317, 1318, 1319, 603, 606,340, 1501, 616, 540, 350, 1586, 474, 481, 1048, 1057]

• The Slovak Republic: [888]

• Turkey: [1194, 899, 925, 1003, 677, 1061, 1416, 1077,328, 1126]

• United Kingdom: [465, 622, 435, 391, 450, 452, 599,1433, 405, 1440, 1442, 332, 1450, 1454, 1460, 823, 334,173, 605, 1468, 1149, 245, 611, 1483, 612, 1486, 412,833, 834, 835, 1159, 1500, 1503, 1163, 1164, 344, 1167,849, 852, 546, 434, 349, 854, 1183, 254, 859, 1528, 1187,259, 1191, 1552, 1556, 179, 1196, 870, 873, 1571, 1291,877, 1579, 1583, 1212, 1591, 895, 568, 1296, 1297, 907,574, 88, 911, 89, 1249, 271, 920, 385, 273, 1299, 923,1257, 147, 1348, 1349, 1352, 1356, 968, 969, 482, 154,640, 18, 485, 983, 487, 985, 303, 989, 1375, 495, 663,105, 498, 157, 26, 1384, 676, 1393, 681, 223, 1021, 1400,684, 1402, 1403, 685, 1407, 692, 31, 1411, 514, 1036,1054, 1413, 516, 1060, 230, 402, 736, 164, 1094, 747,750, 792, 1118, 524, 811]

• United States: [1266, 297, 1388, 151, 190, 187, 453,1304, 621, 448, 456, 460, 461, 462, 195, 447, 942, 463,196, 197, 276, 392, 457, 1310, 1630, 193, 194, 1321,1322, 1323, 469, 277, 941, 13, 278, 279, 1309, 393, 943,1311, 1312, 1263, 459, 1320, 1324, 1325, 1326, 1327,1328, 466, 467, 625, 287, 626, 1343, 234, 531, 1423,1137, 819, 1425, 168, 1138, 1139, 1140, 1428, 1429, 532,1431, 1432, 1277, 1435, 235, 1436, 169, 1437, 444, 1441,534, 406, 59, 236, 1145, 1447, 1146, 1449, 1147, 170,171, 1456, 1280, 1457, 1281, 1458, 1461, 239, 1148, 240,825, 1465, 1466, 1467, 172, 335, 1469, 336, 242, 409,1472, 410, 1473, 1476, 608, 244, 1477, 1478, 1480, 63,1150, 609, 337, 1152, 174, 411, 1485, 1153, 538, 1154,338, 1487, 1156, 175, 339, 613, 1157, 1488, 413, 614,1492, 247, 341, 1494, 248, 836, 1160, 539, 838, 1497,1498, 1161, 415, 249, 1502, 1504, 841, 1505, 842, 1165,1166, 1508, 1510, 176, 541, 844, 845, 1283, 846, 1513,

1171, 177, 1172, 126, 1517, 850, 1518, 1519, 1520, 1175,1176, 1284, 1180, 1523, 351, 352, 74, 253, 858, 596,1184, 75, 1285, 256, 1534, 1535, 1538, 1188, 1539, 1286,860, 1540, 1541, 1542, 861, 1544, 1545, 1190, 423, 356,357, 1554, 1555, 1557, 1558, 360, 866, 362, 868, 1562,363, 1565, 365, 554, 1567, 874, 1570, 367, 1572, 1200,180, 1575, 1576, 1203, 370, 559, 1292, 880, 881, 1206,1581, 1585, 373, 374, 375, 1209, 1588, 429, 565, 1294,566, 1215, 266, 1216, 567, 893, 1593, 1597, 1219, 1221,898, 183, 1223, 569, 570, 571, 1235, 200, 905, 1602,1227, 1605, 1228, 1230, 379, 1231, 1606, 1234, 380,1607, 1236, 910, 381, 1611, 1239, 270, 915, 576, 382,383, 185, 917, 918, 921, 1618, 1253, 1300, 432, 1256,1258, 148, 1259, 926, 1626, 929, 389, 394, 955, 1346,199, 1347, 958, 961, 436, 963, 1301, 633, 964, 1351,965, 152, 293, 1354, 966, 477, 153, 295, 634, 1355, 637,1360, 1269, 483, 974, 1363, 1364, 976, 978, 641, 643,645, 1366, 670, 202, 1270, 438, 204, 1367, 1368, 1369,651, 1371, 155, 1271, 1374, 275, 1272, 995, 661, 208,1376, 662, 156, 306, 209, 1001, 1002, 665, 1006, 308,666, 210, 107, 1379, 212, 667, 440, 310, 1011, 158, 159,312, 501, 1383, 216, 1385, 313, 1387, 672, 314, 220, 221,679, 160, 1391, 111, 1020, 318, 1394, 1395, 27, 1397,1398, 321, 1273, 683, 1025, 1274, 1026, 690, 323, 325,1410, 1028, 693, 694, 227, 1031, 697, 114, 1032, 228,700, 1050, 702, 1039, 587, 1051, 1056, 708, 1059, 399,1062, 1065, 715, 1068, 717, 589, 1072, 721, 724, 725, 36,1080, 735, 116, 1085, 1086, 738, 1091, 1093, 1275, 1420,1097, 1098, 754, 47, 756, 1101, 757, 760, 763, 165, 771,772, 1104, 778, 780, 1107, 1108, 1109, 1110, 1111, 403,1112, 1113, 55, 788, 1114, 1115, 793, 1116, 799, 802,1129, 807, 812, 815]

• Unknown country: [464, 1306, 1422, 57, 1446, 1463,1471, 827, 1474, 1481, 64, 829, 1484, 1491, 1496, 67,837, 1282, 1509, 125, 1514, 1178, 1634, 1181, 353, 355,1529, 1532, 1186, 547, 260, 597, 1548, 1550, 1192, 358,863, 1199, 1573, 1636, 132, 1205, 1582, 1587, 889, 1600,1237, 142, 1245, 1246, 1250, 578, 957, 437, 1631, 977,647, 19, 490, 206, 991, 22, 998, 109, 441, 219, 315, 1016,28, 113, 1038, 1045, 1046, 32, 1064, 1069, 720, 115, 400,1079, 1081, 1096, 810, 329, 233, 330, 122, 816]

• Venezuela: [619, 620, 1158, 885, 903]

Bibliography

[1] John H. Holland. Genetic algorithms. Scientific American, 267(1):44–50, 1992. ga:Holland92a.

[2] Jarmo T. Alander. An indexed bibliography of genetic algorithms: Years 1957-1993. Art of CAD Ltd.,Vaasa (Finland), 1994. (over 3000 GA references).

[3] David E. Goldberg, Kelsey Milman, and Christina Tidd. Genetic algorithms: A bibliography. IlliGALReport 92008, University of Illinois at Urbana-Champaign, 1992. ga:Goldberg92f.

[4] N. Saravanan and David B. Fogel. A bibliography of evolutionary computation & applications. TechnicalReport FAU-ME-93-100, Florida Atlantic University, Department of Mechanical Engineering, 1993. (ftp://magenta.me.fau.edu/pub/ep-list/bib/EC-ref.ps.Z) ga:Fogel93c.

[5] Thomas Back. Genetic algorithms, evolutionary programming, and evolutionary strategies bibliographicdatabase entries. (personal communication) ga:Back93bib, 1993.

[6] Thomas Back, Frank Hoffmeister, and Hans-Paul Schwefel. Applications of evolutionary algorithms. Tech-nical Report SYS-2/92, University of Dortmund, Department of Computer Science, 1992. ga:Schwefel92d.

[7] David L. Hull. Uncle Sam wants you. Science, 284(5417):1131–1133, 14. May 1999.

[8] Leslie Lamport. LATEX: A Document Preparation System. User’s Guide and Reference manual. Addison-Wesley Publishing Company, Reading, MA, 2 edition, 1994.

[9] Alfred V. Aho, Brian W. Kernighan, and Peter J. Weinberger. The AWK Programming Language. Addison-Wesley Publishing Company, Reading, MA, 1988.

[10] Diane Barlow Close, Arnold D. Robbins, Paul H. Rubin, and Richard Stallman. The GAWK Manual.Cambridge, MA, 0.15 edition, April 1993.

[11] Jarmo T. Alander. Indexed bibliography of immune systems. Report 94-1-IS, University of Vaasa, De-partment of Information Technology and Production Economics, 1995. http://lipas.uwasa.fi/∼TAU/

reports/report94-1/gaISbib.pdf gaISbib.

[12] Jarmo T. Alander. Indexed bibliography of genetic algorithms and neural networks. Report 94-1-NN,University of Vaasa, Department of Information Technology and Production Economics, 1995. http:

//lipas.uwasa.fi/∼TAU/reports/report94-1/gaNNbib.pdf gaNNbib.

[13] William F. Punch, III, Erik D. Goodman, Min Pei, Lai Chia-Shun, P. Hovland, and R. Enbody. Furtherresearch on feature selection and classification using genetic algorithms. In Forrest [1637], pages 557–564.ga:Enbody93a.

[14] T. Morimoto, T. Tekeuchi, and Y. Hashimoto. Growth optimization of plant by means of the hybridsystem of genetic algorithm and neural network. In IJCNN’93 [1638], pages 2979–2982. ga:TMorimoto93a.

[15] Jean-Michel Roger and Veronique Bellon-Maurel. Using genetic algorithms to select wavelengths in near-infrared spectra: Application to sugar content prediction in cherries. Applied Spectroscopy, 54(9):1313–1320, September 2000. ga00aJMRoger.

[16] Seong In Cho and Jae Hoon Lee. Autonomous speedsprayer using differential global positioning systems,genetic algorithm and fuzzy control. Journal of Agricultural Engineering Research, 76(2):111–119, June2000. ga00aSeongInCho.

[17] Victor Sanchez-Cordero and Enrique Martınez-Meyer. Museum specimen data predict crop damage bytropical rodents. Proceedings of the National Academy of Sciences of the United States of America,97(13):7074–7077, 20. June 2000. ga00aVSanchez-Cordero.

[18] Zoe S. Davies, Richard J. Gilbert, Roger J. Merry, Douglas B. Kell, Michael K. Theodorou, and Gareth W.Griffith. Efficient improvement of silage additives by using genetic algorithms. Applied and EnvironmentalMicrobiology, 66(4):1435–1443, April 2000. ga00aZoeSDavies.

73

ftp://magenta.me.fau.edu/pub/ep-list/bib/EC-ref.ps.Z

ftp://magenta.me.fau.edu/pub/ep-list/bib/EC-ref.ps.Z

http://lipas.uwasa.fi/~TAU/reports/report94-1/gaISbib.pdf

http://lipas.uwasa.fi/~TAU/reports/report94-1/gaISbib.pdf

http://lipas.uwasa.fi/~TAU/reports/report94-1/gaNNbib.pdf

http://lipas.uwasa.fi/~TAU/reports/report94-1/gaNNbib.pdf


[19] David G. Mayer. Evolutionary Algorithms and Agricultural Systems, volume 647 of The International Seriesin Engineering and Computer Science. Springer-Verlag, Berlin, 2001. †www /Google ga01aDGMayer.

[20] G. Moser and J. H. J. van der Werf. Multi-trait analyses to detect multiple interacting quantitativetrait loci using a genetic algorithm. Proc. Assoc. Advmt. Anim. Breed. Genet, 14(?):405–408, ? 2001.ga01aGMoser ⇒ http://www.aaabg.org/livestocklibrary/2001/ab01096.pdf.

[21] Nick Sigrimis, Panos Antsaklis, and Peter P. Groumpos. Advances in control of agriculture and theenvironment. IEEE Control Systems Magazine, 21(5):8–12, October 2001. ga01aNSigrimis.

[22] Pilar Montesinos, Emilio Camcho, and Serafın Alvarez. Seasonal furrow irrigation model with genetic al-gorithms (OPTIMEC). Agricultural Water Management, 52(1):1–16, 12. December 2001. †www /Elsevierga01aPMontesinos.

[23] R. K. Shepherd and B. P. Kinghorn. Designing algorithms for mate selection when major genes or QTLare important. Proc. Assoc. Advmt. Anim. Breed. Genet, 14(?):377–380, ? 2001. ga01aRKShepherd ⇒http://www.aaabg.org/livestocklibrary/2001/ab01089.pdf.

[24] Yasushi Hashimoto, Haruhiko Murase, Tetsuo Morimoto, and Toru Torii. Intelligent systems for agriculturein Japan. IEEE Control Systems Magazine, 21(5):71–85, October 2001. ga01aYasushiHashimoto.

[25] Yoshio Makino. Selection of packaging conditions for shredded cabbage by genetic algorithms. J. Agric.Engng Res., 78(3):261–271, ? 2001. (www.idealibrary.com) ga01aYoshioMakino.

[26] Derek R. Magee and Roger D. Boyle. Detecting lameness using ‘re-sampling condensation’ and ‘multi-stream cyclic hidden Markov models. Image and Vision Computing, 20(8):581–594, 1. June 2002. * www/ScienceDirect ga02aDRMagee.

[27] Haibo Yao and Lei Tian. A genetic-algorithm-based selective principal component analysis (GA-SPCA)method for high-dimensional data feature extraction. IEEE Transactions on Geoscience and RemoteSensing, 41(6):1469–1478, June 2003. ga03aHaiboYao.

[28] Joao Camargo Neto, George E. Meyer, David D. Jones, and Alvin J. Surkan. Adaptive image segmentationusing a fuzzy neural network and genetic algorithm for weed detection. In ?, editor, Proceedings of the2003 ASAE Annual Meeting, page paper number 033088, ?, ? 2003. ASABE. †ASABE ga03aJCNeto.

[29] T. Morimoto, K. Tu, K. Hatou, and Y. Hashimoto. Dynamic optimization using neural networks andgenetic algorithms for tomato cool storage to minimize water loss. Transactions of the ASAE, 46(4):1151–1159, ? 2003. †www /CAT.INIST ga03aTMorimoto.

[30] Torbjorn Lestander, Riccardo Leardi, and Paul Geladi. Selection of near-infrared wavelengths using ge-netic algorithms for the determination of seed moisture content. Journal of Near-Infrared Spectroscopy,11(4):433–446, ? 2003. † ga03bTBLestander ⇒ .

[31] D. J. Parsons and D. Te Beest. Optimising fungicide applications on winter wheat using genetic algorithms.Biosystems Engineering, 88(4):401–410, ? 2004. ga04aDJParsons.

[32] J. P. de Moura Oliveira Coelho and J. B. Cunha. Greenhouse air temperature predictive control using theparticle swarm optimisation algorithm. Computers and Electronics in Agriculture, 49(?):330–344, ? 2005.†[1639] ga05aJPCoelho.

[33] Zhenhua Liu, Yingshi Zhao, and Xia Zhou. The study of the combining finite element with geneticalgorithms method for soil moisture. In Proceedings of the 2005 IEEE International Geoscience and RemoteSensing Symposium (IGARSS’05), volume 6, pages 4489–4492, ?, 25.-29. July 2005. IEEE, Piscataway, NJ.ga05aZhenhuaLiu.

[34] Christelle Reynes, Sabrina de Souza, Robert Sabatier, Gilles Figueres, and Bernard Vidal. Selection ofdiscriminant wavelength intervals in NIR spectrometry with genetic algorithms. Journal of Chemometrics,20(?):136–145, ? 2006. ga06aCReynes.

[35] Joao Camargo Neto, George E. Meyer, and David D. Jones. Individual leaf extractions from young canopyimages using Gustafson-Kessel clustering and genetic algorithm. Computers and Electronics in Agriculture,51(1-2):66–85, April 2006. †www /ACM ga06aJoaoCamargoNeto ⇒ http://portal.acm.org/citation.

cfm?id=1669080.

[36] Ramesh Gautam, Suranjan Panigrahi, and David Franzen. Neural network optimization of remotely sensedmaize leaf nitrogen with a genetic algorithm and linear programming using five performance parameters.Biosystems Engineering, 95(3):359–370, ? 2006. ga06aRameshGautam.

[37] Yann Chemin and Kiyoshi Honda. Spatiotemporal fusion of rice actual evapotranspiration with ge-netic algorithms and an agrahydrological model. IEEE Transactions on Geoscience and Remote Sensing,44(11):3462–3469, November 2006. ga06aYChemin.

http://www.aaabg.org/livestocklibrary/2001/ab01096.pdf

http://www.aaabg.org/livestocklibrary/2001/ab01089.pdf

www.idealibrary.com

http://portal.acm.org/citation.cfm?id=1669080


Bibliography 75

[38] Geert Craessaerts, Wouter Sayes, Bart Missotten, and Josse De Baerdemaeker. A genetic input selec-tion methodology for identification of the cleaning process on a combine harvester, Part I: Selection ofrelevant input variables for identification of sieve losses. Biosystems Engineering, 98(?):–, ? 2007. †ga07aGeertCraessaert.

[39] J. M. Herrero, X. Blasco, M. Martınez, C. Ramos, and J. Sanchis. Non-linear robust identification of agreenhouse model using multi-objective evolutionary algorithms. Biosystems Engineering, 98(?):335–346,? 2007. ga07aJMHerrero.

[40] Yunsheng Wang, Bingyan Xie, Fanghao Wan, Qiming Xiao, and Liangying Dai. The potential geographicdistribution of radopholus similis in China. Agricultural Sciences in China, 6(12):1444–1449, ? 2007. *www /Google ga07aYunshengWang.

[41] Geert Craessaerts, Wouter Sayes, Bart Missotten, and Josse De Baerdemaeker. A genetic input selectionmethodology for identification of the cleaning process on a combine harvester, Part II: Selection of relevantinput variables for identification of material other than grain (MOG) content in the grain bin. BiosystemsEngineering, 98(?):297–303, ? 2007. ga07bGeertCraessaert.

[42] Yunsheng Wang, Bingyan Xie, Fanghao Wan, Qiming Xiao, and Liangying Dai. Application of ROC curveanalysis in evaluating the performance of alien species’ potential distribution models. Biodiversity Science,15(4):365–372, ? 2007. (in Chinese) * www /Google ga07bYunshengWang.

[43] H. Q. Yang, Y. He, Y. M. Chen, P. Lin, and D. Wu. [3-D modeling of origin discrimination of fra-grant mushrooms using visible/near intrared spectra]. Guang pu Xue yu Guang pu fen xi = Guang pu,28(6):1232–1236, June 2008. (in Chinese) * PubMed ga08aHQYang.

[44] Jagdish C. Tewari, Vivechana Dixit, Byoung-Kwan Cho, and Kamal A. Malik. Determination of origin andsugars of citrus fruits using genetic algorithm, correspondence analysis and partial least squares combinedwith fiber optic NIR spectroscopy. Spectrochimica Acta Part A. Molecular and Biomolecular Spectroscopy,71(3):1119–1127, 1. December 2008. ga08aJCTewari.

[45] Jia-Hua Wang and Dong-Hai Han. [analysis of near intrared spectra of apple SSC by genetic algorithmoptimization]. Guang pu Xue yu Guang pu fen xi = Guang pu, 28(10):2308–2311, November 2008. (inChinese) * www /ResearchGATE ga08aJia-HuaWang.

[46] J. J. Yu, Y. He, and Y. D. Bao. [nondestructive test on predicting sugar content and valid acidity ofmango by spectroscopic technology]. Guang pu Xue yu Guang pu fen xi = Guang pu, 28(12):2839–2842,December 2008. (in Chinese) * PubMed ga08aJJYu.

[47] Juan Xing, Daniel Guyer, Diwan Ariana, and Renfu Lu. Determining optimal wavebands using geneticalgorithm for detection of internal insect infestation in tart cherry. Sensing and Instrumentation for FoodQuality and Safety, 2(3):161–167, September 2008. ga08aJuanXing ⇒ http://www.springerlink.com/

content/c36h650374387153/.

[48] Junlong Fang, Changli Zhang, and Shuwen Wang. Application of genetic algorithm (GA) trained artificialneural network to identify tomatoes with physiological diseases. In ?, editor, Computer and ComputerTechnologies in Agriculture, Vol. II, volume 259 of IFIP, pages 1103–1111, ?, ? 2008. Springer-Verlag,Heidelberg. †www /Springer ga08aJunlongFang.

[49] B. L. Shi, Z. S. Qing, B. P. Ji, Z. H. Tu, D. Z. Zhu, and J. Y. Yin. [using GA-dOSC method to eliminateinterference of peel with prediction of apple firmness based on near infrared diffuse reflection spectra].Guang pu Xue yu Guang pu fen xi = Guang pu, 29(3):655–670, March 2009. * PubMed ga09aBLShi.

[50] Fang Cao, Di Wu, and Yong He. Soluble solids content and pH prediction and varieties discriminationof grapes based on visible-near infrared spectroscopy. Computers and Electronics in Agriculture, ?(?):?, ?2009. (in press) ga09aFangCao.

[51] Herry Suhardiyanto, Chusnul Arif, and Budi I. Setiawan. Optimization of EC values of nutrient solutionfor tomato fruit quality in hydroponics system using artificial neural network and genetic algorithms. ITBJournal of Science, 41(1):38–49, ? 2009. ga09aHSuhardiyanto.

[52] Jia-Hua Wang, Lu Pan, Qian Sun, Peng-Fei Li, and Dong-Hai Han. Nondestructive measurement of SSCin Western pear using genetic algorithms. Guang pu Xue yu Guang pu fen xi = Guang pu, 29(3):678–681,April 2009. * www /ResearchGATE ga09aJia-HuaWang.

[53] Jiansong Yao, Haiqing Yang, and Yong He. Calibrating total acidity of tomato products using GA andVis/NIR spectroscopy. In Proceedings of the 7th Asian Control Conference, volume ?, pages 1697–1700,Hong Kong (China), 27.-29. August 2009. IEEE, Piscataway, NJ. ga09aJiansongYao.

http://www.springerlink.com/content/c36h650374387153/

http://www.springerlink.com/content/c36h650374387153/


[54] Marc Valente, Riccardo Leardi, Guy Self, Giorgio Luciano, and Jean Pierre Pain. Multivariate calibrationof mango firmness using vis/NIR spectroscopy and acoustic impulse method. Journal of Food Engineering,94(?):7–13, ? 2009. ga09aMarcValente.

[55] Yanbo Huang, Yubin Lan, Steven J. Thomson, Alex Fang, Wesley C. Hoffmann, and Ronald E. Lacey.Technical development and applications of soft computing in agricultural and biological engineering. In?, editor, Proceedings of the ASABE, volume ?, pages –, Reno, NV, 21.-24. June 2009. ASABE. * www/TKK ga09aYanboHuang ⇒ http://asae.frymulti.com/abstract.asp?aid=27010&t=2.

[56] Y. M. Chen, P. Lin, and Y. He. [study on discrimination of producing area of olive oil using near infraredspectra based on genetic algorithms]. Guang pu Xue yu Guang pu fen xi = Guang pu, 29(3):671–674, April2009. * PubMed ga09aYMChen.

[57] A. M. Hassanli and Graeme C. Dandy. Optimal layout model for pressure irrigation systems using geneticalgorithms. Research Report R126, 1994. †Lazauskas/bib ga94aHassanli.

[58] N. Noguchi and H. Terao. Creation of optimal route for agricultural vehicle and construction machineryby using a genetic algorithm. Transactions of the Society of Instrument and Control Engineers (Japan),30(1):64–71, January 1994. (in Japanese) * CCA 40369/94 ga94aNoguchi.

[59] Ronaldo Antonio Sequeira, Richard L. Olson, Jeffrey L. Willers, and J. M. McKinion. Automating theparametrization of mathematical models using genetic algorithms. Comput. Electron. Agric., 11(2-3):265–290, November 1994. * (CCA298/95 EI M057088/95 ga94aSequeira.

[60] Chen Yuming, Ding Jing, and Xiong Fanlun. Genetic algorithms for irrigation optimization. In Proceedingsof the Artificial Intelligence in Agriculture, pages 145–150, Wegeningen (Netherlands), 29.-31. May 1995.Elsevier, Oxford, UK. †CCA15446/98 ga95aChYuming.

[61] Gianni Jacucci, Mark Foy, and Carl Uhrik. Genetic algorithms in the role of intelligent regional adaptationagents for agricultural support systems. In Pearson et al. [1640], pages 428–431. ga95aJacucci.

[62] T. Morimoto, T. Torii, and Y. Hashimoto. Optimal control of physiological processes of plants in a greenplant factory. Control Eng. Pract., 3(4):505–511, April 1995. * EI M116831/95 ga95aMorimoto.

[63] Sheng-Feng Kuo. Decision support for irrigated project planning using a genetic algorithm. PhD thesis,Utah State University, 1995. * DAI Vol 56 No 9 ga95aS-FKuo.

[64] Angus R. Simpson. New techniques for optimising the design and scheduling for irrigation systems. In?, editor, ?, volume ?, page ?, Bundaberg, Queensland, Australia, 10. March 1995. ? †Lazauskas/bibga95aSimpson.

[65] B. Horton. A method of using a genetic algorithm to examine the optimum structure of the Australian sheepbreeding industry: open-nucleus breeding systems, MOET and AI. Australian Journal of ExperimentalAgriculture, 36(3):249–258, ? 1996. * Google ga96aBHorton ⇒ http://www.publish.csiro.au/paper/

EA9960249.

[66] I. Lopez Cruz and J. Goddard. Greenhouse climate control by evolutionary computation: genetic al-gorithms and evolutionary programs. In ?, editor, Proceedings of the Sixth International Conference onComputers in Agriculture, volume ?, pages 892–898, Cancun, Mexico, 11.-14. June 1996. American Soc.Agric. Eng, St. Joseph, MI (USA). †CCA96121/96 ga96aCruz.

[67] Graeme C. Dandy, Angus R. Simpson, and Laurence J. Murphy. Genetic algorithm design of pipedirregation systems. In ?, editor, ?, volume ?, page ?, Anaheim, CA, 22.-28. June 1996. ASCE, Anaheim,California. †Lazauskas/bib ga96aGraDandy.

[68] I. Lopez and J. Goddard. Greenhouse climate control by evolutionary computation - genetic algorithmsand evolutionary programs. In ?, editor, Proceedings of the Sixth International Conference on Computersin Agriculture, volume ?, pages 892–898, Cancun, Mexico, June 1996. Amer. Soc. Agricultural Engineers,St. Joseph. †P76009 ga96aILopez.

[69] Mon-Fong Jiang, Ching-Hung Wang, and Shian-Shyong Tseng. Developing a sugar-cane breeding assistantsystem by a hybrid adaptive learning technique. In Proceedings of the 1996 IEEE International Conferenceon Systems, Man and Cybernetics, volume 2, pages 1196–1201, Beijing, China, 14.-17. October 1996. IEEE,Piscataway, NJ. †EI M038797/97 ga96aJiang.

[70] R. Stonier and D. Sturgess. Genetic learning of the irrigation cycle for water flow in cropped soils. In ?,editor, Proceedings of the First Asia-Pacific Conference Simulated Evolution and Learning, pages 89–96,Taejon (Korea), 9.-12. November 1996. Springer-Verlag, Berlin (Germany). †CCA88712/97 ga96aStonier.

http://asae.frymulti.com/abstract.asp?aid=27010&t=2

http://www.publish.csiro.au/paper/EA9960249

http://www.publish.csiro.au/paper/EA9960249

Bibliography 77

[71] N. Yamamoto and T. Hoshi. Study on extracting the adaptive agricultural development area using ge-netic algorithm with complex PTYPE. Transactions of the Institute of Electronics, Information andCommunication Engineers A (Japan), J79-A(3):650–657, March 1996. (in Japanese) †EEA 48429/96ga96aYamamoto.

[72] Y. M. Chen and F. L. Xiong. Improved genetic algorithms approach in management of irrigation networkssystem. In Y. M. Chae J. K. Lee, J. Liebowitz, editor, Proceedings of the Third World Congress on ExpertSystems, volume I and II, page ?, Seoul (South Korea), 5.-9. February 1996. Cognizant CommunicationsCorp., Elmsford. †P69301 ga96bYMChen.

[73] B. J. Hayes, R. K. Shepherd, and S. Newman. Selecting mating pairs with genetic algorithms. Proc. Assoc.Advmt. Anim. Breed. Genet, 12(?):108–112, ? 1997. ga97aBJHayes ⇒ http://www.livestocklibrary.

com.au/handle/1234/5624.

[74] Necati Canpolat. Optimization of seasonal irrigation scheduling by genetic algorithms (adaptive penalty).PhD thesis, Oregon State University, 1997. (UMI No. DA9734013) †ChA 345828p/97 ga97aCanpolat.

[75] D. S. Mullen and R. M. Butler. Genetic algorithms in optimization of adjacency constrained timber harvestscheduling problems. In Proceedings of the Second Annual Conference, page 379, Stanford, CA, 13.-16. July1997. Morgan Kaufmann Publishers, San Francisco, CA (USA). †CCA72454/98 ga97aDSMullen.

[76] Tetsuo Morimoto, Josse De Baerdemaeker, and Yasushi Hashimoto. An intelligent approach for optimalcontrol of fruit-storage process using neural networks and genetic algorithms. Computers and Electronicsin Agriculture, 18(2-3):205–224, 1997. †BA126752 ga97aMorimoto.

[77] N. Noguchi and H. Terao. Path planning of an agricultural mobile robot by neural network and geneticalgorithm. Comput. Electron. Agric. (Netherlands), 18(2-3):187–204, 1997. †CCA80738/97 ga97aNoguchi.

[78] Hartmut Pohlheim and Adolf Heißner. Optimal control of greenhouse climate using a short time climatemodel and evolutionary algorithms. In Proceedings of the Mathematics and Control Applications in Agri-culture and Horticulture, pages 113–118, Hanover, Germany, 28. sept- 2. oct. ? 1997. Elsevier Science,Oxford (UK). †CCA54669/99 ga97aPohlheim.

[79] Tatsumi Furuya, Takaaki Satake, and Yoshlyuki Minami. Evolutionary programming for mix design.Computers and Electronics in Agriculture, 18(2):129–135, 1997. †BA121623 ga97aTFuruya.

[80] Yu-Ming Chen. Management of water resources using improved genetic algorithms. Comput. Electron.Agric. (Netherlands), 18(2-3):117–127, 1997. †CCA86640/97 ga97aYu-MChen.

[81] T. Morimoto, W. Purwanto, J. Suzuki, and Y. Hashimoto. Optimization of heat treatment for fruitduring storage using neural networks and genetic algorithms. Comput. Electron. Agric. (Netherlands),19(1):87–101, 1997. †CCA19870/98 ga97bMorimoto.

[82] C. E. Mariano. Optimal-design of water distribution networks using genetic algorithms. In Computers inAgriculture, pages 146–158, 1998. †P84038 ga98aCEMariano.

[83] Younes Chtioui, Dominique Bertrand, and Dominique Barba. Feature selection by a genetic algo-rithm. Application to seed discrimination by artificial vision. J. Sci. Food Agric., 76(1):77–86, 1998.†ChA128:228216x ga98aChtioui.

[84] E. Jallas, R. Sequeira, and J. E. Boggess. Evolutionary algorithms for knowledge discovery and model-baseddecision support [cotton crop irrigation]. In Proceedings of the 3rd IFAC/CIGR Workshop on ArtificialIntelligence in Agriculture, pages 115–120, Makuhari, Japan, 24.-26. April 1998. Elsevier Science Ltd,Kidlington, UK. †CCA60185/99 ga98aEJallas.

[85] K. Kurata and Y. Iida. Genetic-algorithm-based machine learning for crop management. In Proceedings ofthe 3rd IFAC/CIGR Workshop on Artificial Intelligence in Agriculture, pages 109–114, Makuhari, Japan,24.-26. April 1998. Elsevier Science Ltd. (Kidlington, UK). †CCA60184/99 ga98aKKurata.

[86] M. Hirafuji, S. Hagan, K. Otobe, and K. Tanaka. A global optimization algorithm for nonlinear biologicalsystems using a hierarchical model of evolution and consciousness. In Proceedings of the 3rd IFAC/CIGRWorkshop on Artificial Intelligence in Agriculture, pages 121–125, Makuhari, Japan, 24.-26. April 1998.Elsevier Science Ltd, Kidlington (UK). †CCA54172/99 ga98aMHirafuji.

[87] T. Morimoto and Y. Hashimoto. An intelligent control technique based on fuzzy controls, neural networksand genetic algorithms for greenhouse automation. In Proceedings of the 3rd IFAC/CIGR Workshop onArtificial Intelligence in Agriculture, pages 61–66, Makuhari, Japan, 24.-26. April 1998. Elsevier ScienceLtd, Kidlington (UK). †CCA60179/99 ga98aTMorimoto.

http://www.livestocklibrary.com.au/handle/1234/5624

http://www.livestocklibrary.com.au/handle/1234/5624


[88] H. Hagras, V. Callaghan, M. Colley, and M. Carr-West. A fuzzy-genetic based embedded-agent approachto learning and control in agricultural autonomuos vehicles. In Proceedings of the 1999 IEEE InternationalConference on Robotics and Automation, volume 2, pages 1005–1010, Detroit, MI (USA), 10.-15. May1999. IEEE, Piscataway, NJ. †CCA79131/99 ga99aHHagras.

[89] K. B. Matthews, A. R. Sibbald, and S. Craw. Implementation of a spatial decision support system forrural land use planning: integrating geographic information system and environmental models with searchand optimisation algorithms. Comput. Electron. Agric. (Netherlands), 23(1):9–26, 1999. †CCA93980/99ga99aMatthews.

[90] R. K. Shepherd and B. P. Kinghorn. Algorithms for mate selection. Proc. Assoc. Advmt. Anim. Breed.Genet, 13(?):126–129, ? 1999. ga99aRKShepherd ⇒ http://www.aaabg.org/livestocklibrary/1999/

AB99024.pdf.

[91] Jarmo T. Alander. Indexed bibliography of genetic algorithms in agriculture. Report 94-1-AGRO, Uni-versity of Vaasa, Department of Electrical Engineering and Automation, 2006. http://lipas.uwasa.fi/∼TAU/reports/report94-1/gaAGRObib.pdf gaAGRObib.

[92] Bernardo Bastos and Washington Braga. Increasing greenhouse efficiency due to tube sizing and location.In ?, editor, Proceedings of the 10o Brazilian Congress of Thermal Sciences and Engineering - ENCIT2004, volume ?, pages CIT04–0587, Rio de Janeiro (Brazil), 29. November- 3. December 2004. BrazilianSociety of Mechanical Sciences and Engineering - ABCM. ga04aBernardoBastos.

[93] Zou Xiaobo, Zhao Jiewen, Huang Xingyi, and Li Yanxiao. Use of FT-NIR spectrometry in non-invasivemeasurement of soluble solid contents (SSC) of ’Fuji’ apple based on different PLS models. Chemometricsand Intelligent Laboratory Systems, 87(?):69–77, ? 2007. ga07aZouXiaobo.

[94] T. Morimoto and Y. Hashimoto. Optimal control of plnt growth in hydroponics using neural networksand genetic algorithms. In ?, editor, Proceedings of the 2nd IFAC/ISHS Workshop: Mathematical &Control Applications in Agriculture & Horticulture, volume ?, page ?, ?, ? 1996. International Society forHorticultural Science. * www ga96aTMorimoto.

[95] Hartmut Pohlheim and Adolf Heißner. Optimal control of greenhouse climate using genetic algorithms. InPavel Osmera, editor, Proceedings of the MENDEL’96, pages 112–119, Brno (Czech Republic), June 1996.Technical University of Brno. ga96bPohlheim.

[96] Hartmut Pohlheim and Adolf Heißner. Optimal control of greenhouse climate using real-world weather dataand evolutionary algorithms. In Wolfgang Banzhaf, editor, Proceedings of the Genetic and EvolutionaryComputation Conference, GECCO’99, pages 1672–1677, ?, ? 1999. Morgan Kaufmann, San Francisco, CA.ga99aHPohlheim.

[97] Eric Bonabeau and Guy Theraulaz. Swarm smarts. Scientific American, 282(3):54–61, March 2000.ga00aBonabeau.

[98] Daniel Merkle, Martin Middendorf, and Hartmut Schmeck. Ant colony optimization for resource-constrained project scheduling. pages 893–900, 2000. ga00aDMerkle.

[99] Marco Dorigo. An introduction to ant algorithms. pages 41–66, 2000. ga00aMDorigo.

[100] Angus R. Simpson, H. R. Maier, W. K. Foong, K. Y. Fhang, H. Y. Seah, and C. L. Tan. Selection ofparameters for ant colony optimisation applied to the optimal design of water distribution systems. In ?,editor, Proceedings of the International Congress on Modelling and Simulation MODSIM, page ?, Canberra(Australia), ? 2001. ? †[1641] ga01aARSimpson.

[101] Heinz Muhlenbein, V. M. Kureichik, T. Mahnig, and Ljudmila A. Zinchenko. Algorithms of evolutionarymodeling with knowledge for multi-agent CAD system. In Proceedings of the 2001 IEEE InternationalConference on Intelligent Engineering Systems, INES 2001, volume ?, pages 185–190, Helsinki (Finland),16.-18. September 2001. IEEE. ga01aHMuhlenbein.

[102] H. R. Maier, Angus R. Simpson, W. K. Foong, K. Y. Fhang, H. Y. Seah, and C. L. Tan. Ant colonyoptimization for the design of water distribution systems. In ?, editor, Proceedings of the World Waterand Environmental Resources Congress, page ?, Orlando, FL, ? 2001. ? †[1641] ga01aHRMaier.

[103] Timo Paukku. Muurahaisen aly syntyy parvesta [Swarm intelligence by ants. Helsingin Sanomat, ?(?):C15,15. September 2001. (in Finnish) ga01aTimoPaukku.

[104] U. Boryczka. Co-operation through stigmergy in ant colony optimization for TSP. In Matousek Radekand Osmera Pavel, editors, 7th International Conference on Soft Computing, Mendel 2001, pages 191–196,Brno, Czech Republic, 6.- 8.June 2001. Brno University of Technology. ga01aUBoryczka.

http://www.aaabg.org/livestocklibrary/1999/AB99024.pdf

http://www.aaabg.org/livestocklibrary/1999/AB99024.pdf

http://lipas.uwasa.fi/~TAU/reports/report94-1/gaAGRObib.pdf

http://lipas.uwasa.fi/~TAU/reports/report94-1/gaAGRObib.pdf

Bibliography 79

[105] Yong-Hua Song and Malcolm R. Irving. Optimisation techniques for electrical power systems, part 2 heuris-tic optimisation methods. Power Engineering Journal, 15(3):151–160, June 2001. ga01aYong-HuaSong.

[106] K. Walkowiak. Ant algorithms for design of computer networks. In Matousek Radek and Osmera Pavel,editors, 7th International Conference on Soft Computing, Mendel 2001, pages 149–154, Brno, Czech Re-public, 6.- 8.June 2001. Brno University of Technology. ga01bKWalkowiak.

[107] Ben Shouse. Getting the behavior of social insects to compute. Science, 295(5564):2357, 29. March 2002.ga02aBenShouse.

[108] Daniel Merkle and Martin Middendorf. Fast ant colony optimization on runtime reconfigurable processorarray. Genetic Programming and Evolvable Machines, 3(4):345–361, December 2002. ga02aDanielMerkle.

[109] Jose A. Gamez and Jose M. Puerta. Searching for the best elimination sequence in Bayesian networksby using ant colony optimization. Pattern Recognition Letters, 23(1-3):261–277, January 2002. †www/Elsevier ga02aJAGamez.

[110] Jose A. Gamez and Jose M. Puerta. Searching for the best elimination sequence in Bayesian net-works by using ant colony optimization. Pattern Recognition Letters, 23(1-3):261–277, January 2002.ga02aJoseAGamez.

[111] Brian T. Luke. Chapter 1. genetic algorithms and beyond. In Riccardo Leardi, editor, Nature-inspired Meth-ods in Chemometrics and Artificial Neural Networks, pages 3–54. Elsevier, Amsterdam, 2003. †TKKpaaga03aBrianTLuke.

[112] Ji-Pyng Chiou, Chung-Fu Chang, and Ching-Tzong Su. Ant direction hybrid differential evolution forsolving large capasitor placement problems. IEEE Transactions on Power Systems, 19(4):1794–1800,November 2004. ga04aJi-PyngChiou.

[113] J. Levine and F. Ducatelle. Ant colony optimization and local search for bin packing and cutting stock prob-lems. Journal of the Operational Research Society, 55(7):705–716, July 2004. †ORS /toc ga04aJLevine.

[114] Rajeev Annaluru, Sanjoy Das, and Anil Pahwa. Multi-level ant colony algorithm for optimal placement ofcapacitors in distribution systems. In Congress on Evolutionary Computation, volume 2, pages 1932–1937,?, 19.-23. June 2004. IEEE, Piscataway, NJ. ga04aRajeevAnnaluru.

[115] Johann Dreo, Jean-Claude Nunes, and Patrick Siarry. Robust rigid registration of retinal an-giograms through optimization. Computerized Medical Imaging and Graphics, 30(8):453–463, ? 2006.ga06aJohannDreo.

[116] Dheerendra Kashyap. Development of a Broadband Multi-Channel NIRS System for Quantifying AbsoluteConcentrations of Hemoglobin Derivatives and Reduced Scattering Coefficients. PhD thesis, The Universityof Texas at Arlington, 2007. * DAI Vol No ga07aDKashyap.

[117] Wenyao Xu, Kejun Xu, and Xinmin Xu. A novel placement algorithm for symmetrical FPGA. In Proceed-ings of the 7th International Conference on ASIC ASICON’07, pages 1281–1284, ?, 22.-25. October 2007.IEEE, Piscataway, NJ. ga07aWenyaoXu.

[118] Chin-Feng Juang, Chun-Ming Lu, Chiang Lo, and Chi-Yen Wang. Ant colony optimization algorithmfor fuzzy controller design and its FPGA implementation. IEEE Transactions on Industrial Electronics,55(3):1453–1462, March 2008. ga08aChin-FengJuang.

[119] Karima Benatcha, Mouloud Koudil, Nadjib Benkhelat, and Yacine Boukir. ISA an algorithm for imagesegmentation using ants. In Proceedings of the IEEE International Symposium on Industrial Electronics(ISIE 2008), pages 2503–2507, ?, ? 2008. IEEE, Piscataway, NJ. ga08aKarimaBenatcha ⇒ http://

ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04677258.

[120] Sebastien Aupetit, Nicolas Monmarche, and Mohamed Slimane. Ch. 9, the use of hidden Markov modelsfor image recognition: Learning with artificial ants, genetic algorithms and particle swarm optimization.In Patrick Siarry, editor, Optimiation in Signal and Image Processing, pages 219–243. Wiley, Hoboken,NJ, 2009. ga09aSebastienAupetit.

[121] Sheng Li, Huiqin Chen, and Zheng Tang. Study of pseudo-parallel genetic algorithm with ant colonyoptimization to solve the TSP. IJCSNS International Journal of Computer Science and Network Security,11(3):73–79, March 2011. ga11aShengLi ⇒ http://paper.ijcsns.org/07 book/201103/20110312.pdf.

[122] Hsu-Chih Huang. Intelligent motion control for omnidirectional mobile robots using ant colony optimiza-tion. Applied Artificial Intelligence, 27(3):151–169, 2013. †ISI/auto ga13aHsu-ChihHuang ⇒ .

[123] Fabio Abbattista and Donato Dalbis. Improving the genetic algorithms by means of a cooperative model. InProceedings of the Second Online Workshop on Evolutionary Computation (WEC2), pages 61–64, Nagoya(Japan), 4.-22. March 1996. ? ga96aAbbattista.

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04677258


http://paper.ijcsns.org/07_book/201103/20110312.pdf


[124] Marco Dorigo, Vittorio Maniezzo, and Alberto Colorni. Ant system: Optimization by a colony of co-operating agents. IEEE Transactions on Systems, Man, and Cybernetics, 26(1):29–41, February 1996.ga96aDorigo.

[125] Ruud Schoonderwoerd, O. Holland, J. Bruten, and L. Rothkrantz. Ant-based load balancing in telecom-munications network. Adaptive Behavior, 5(2):?, ? 1996. †PPSN06 ga96aRSchoonderwoerd.

[126] Forrest H. Bennett III. Emergence of a multi-agent architecture and new tactics for the ant colony foodforaging problem using genetic programming. In Proceedings of the Fourth International Conference onSimulation of Adaptive Behavior, pages 430–439, North Falmouth, MA (USA), 9.-13. September 1996.MIT Press, Cambridge, MA. †CCA43017/98 ga96bBennettIII.

[127] Marco Dorigo and Luca M. Gambardella. A study of some properties of Ant-Q. In Voigt et al. [1642],pages 656–665. ga96bDorigo.

[128] Marco Dorigo, Vittorio Maniezzo, and Alberto Colorni. Ant system: optimization by a colony of coop-erating agents. IEEE Transactions on Systems, Man, and Cybernetics B, Cybernetics, 26(1):29–41, 1996.†CCA27156/96 ga96cDorigo.

[129] Marco Dorigo and Luca M. Gambardella. Ant colony system: a cooperative learning approach to the travel-ing salesman problem. IEEE Transactions on Evolutionary Computation, 1(1):53–66, 1997. †CCA61584/97ga97aDorigo.

[130] T. Stutzle and H. Hoos. MAX-MIN ant system and local search for the traveling salesman problem. InProceedings of 1997 IEEE International Conference on Evolutionary Computation, pages 309–314, Indi-anapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †CCA44460/97 ga97aStutzle.

[131] U. Boryczka and M. Boryczka. Generative policies in ant systems for scheduling. In Proceedings of the6th European Congress on Intelligent Techniques and Soft Computing, volume 1, pages 382–386, Aachen(Germany), 7.-10. September 1998. Verlag Mainz, Aachen (Germany). †CCA69447/99 ga98aBoryczka.

[132] I. K. Yu, C. S. V. Chou, and Yong-Hua Song. Application of the ant colony search algorithm to short-termgeneration scheduling problem of thermal units. In Proceedings of the 1998 International Conference onPower System Technology, volume 1-2, pages 552–556, Beijing (China), 18.-21. August 1998. IEEE, NewYork, NY. †P82998 ga98aIKYu.

[133] T. Stutzle. An ant approach to the flow shop problem. In Proceedings of the 6th European Congress on In-telligent Techniques and Soft Computing, volume 3, pages 1560–1564, Aachen (Germany), 7.-10. September1998. Verlag Mainz, Aachen (Germany). †CCA78444/99 ga98aStutzle.

[134] Marco Dorigo, Gianni Di Caro, and Luca M. Gambardella. Ant algorithms for disrete optimization.Techinical Report IRIDIA/98-10, Universite de Bruxelles, 1998. (also as [139]) ga98bDorigo.

[135] A. Bauer, B. Bullnheimer, and R. F. Hartl. An ant colony optimization approach for the single ma-chine total tardiness problem. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99,volume 2, pages 1445–1450, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA85709/99ga99aABauer.

[136] Eric Bonabeau, Marco Dorigo, and Guy Theraulaz. From Natural to Artificial Swarm Intelligence. OxfordUniversity Press, New York, 1999. †Brochure ga99aBonabeau.

[137] D. Alexandrov and Y. Kochetov. Behavior of the ant colony algorithm for the set covering problem. InK. Inderfurth, G. Schwodiauer, W. Domske, F. Juhnke, P. Kleinschmidt, and G. Wascher, editors, Sympo-sium on Operations Research (SOR 99), volume ?, pages 255–259, Magdeburg, Germany, 1.-3.September1999. Springer-Verlag Berlin. †P90086 ga99aDAlexandrov.

[138] David Corne, Marco Dorigo, and Fred Glover. New Ideas in Optimization. McGraw-Hill, Maidenhead(UK), 1999. †Brochure/Corne ga99aDavidCorne.

[139] Marco Dorigo, Gianni Di Caro, and Luca M. Gambardella. Ant algorithms for disrete optimization.Artificial Life, 5(3):137–172, ? 1999. †[134] ga99aDorigo.

[140] El-Ghazali Talbi, O. Roux, C. Fonlupt, and D. Robillard. Parallel and colonies for combinatorial opti-mization problems. In Proceedings of the 11th IPPS/SPDP’99 Workshops Held in Konjunktion with the13th International Parallel Processing Symposium and the 10th Symposium on Parallel and DistributedProcessing, pages 239–247, San Juan, Puerto Rico, 12.-16. April 1999. Springer-Verlag, Berlin (Germany).†CCA86372/99 ga99aE-GTalbi.

[141] I. A. Wagner and A. M. Bruckstein. Hamiltonian(t) - an ant-inspired heuristic for recognizing Hamiltoniangraphs. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages 1465–1469, Washington D.C., 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77375/99 ga99aIAWagner.

Bibliography 81

[142] G. Leguizamon and Z. Michalewicz. A new version of ant system for subset problems. In Proceedings ofthe 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages 1459–1464, Washington, DC,6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77374/99 ga99aLeguizam.

[143] Vittorio Maniezzo. Ant colony optimization. In Proceedings of the Third Metaheuristics InternationalConference, pages 299–303, Rio de Janeiro (Brazil), 19.-23. July 1999. Gatholic University of Rio deJaneiro, Brazil. ga99aManiezzo.

[144] Marco Dorigo and Gianni Di Caro. Ant colony optimization: a new meta-heuristic. In Proceedings ofthe 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages 1470–1477, Washington, DC,6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77189/99 ga99aMDorigo.

[145] Pascale Kuntz and Dominique Snyers. New results on an ant-based heuristic for highlighting the organiza-tion of large graphs. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 2,pages 1451–1458, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77373/99 ga99aPKuntz.

[146] P. Merz and B. Freisleben. A comparison of memetic algorithms, tabu search, and ant colonies for thequadratic assignment problem. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99,volume 3, pages 2063–2070, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77261/99ga99aPMerz.

[147] Yong-Hua Song, C. S. V. Chou, and Y. Min. Large-scale economic dispatch by artificial ant colony searchalgorithms. Electr. Mach. Power Syst. (USA), 27(7):679–690, 1999. †CCA101762/99 ga99aYHSong.

[148] Yun-Chia Liang and A. E. Smith. An ant system approach to redundancy allocation. In Proceedings ofthe 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages 1478–1484, Washington, DC,6.-9. July 1999. IEEE, Piscataway, NJ. †CCA80585/99 ga99aYunLiang.

[149] Marco Dorigo and Gianni Di Caro. The ant colony optimization meta-heuristic. In David Corne, MarcoDorigo, and Fred Glover, editors, New Methods in Optimization, page ? Mc-Gray-Hill, New York, 1999.†[1641] ga99bDorigo.

[150] Vittorio Maniezzo and Alberto Colorni. The ant system applied to the quadratic assignment prob-lem. IEEE Transactions on Knowledge and Data Engineering, 11(5):769–778, September/October 1999.ga99bManiezzo.

[151] R. S. Rosenberg. Simulation of genetic populations with biochemical properties. PhD thesis, University ofMichigan, Ann Arbor, 1967. (University Microfilm No. 67-17,836) †[1643] ga:RosenbergThesis.

[152] Ling Xue and Jurgen Bajorath. Molecular descriptors for effective classification of biologically activecompounds based on principal component analysis identified by a genetic algorithm. Journal of ChemicalInformation and Computer Sciences, 40(3):801–809, May/June 2000. ga00aLingXue.

[153] Michael D. McCormack, Tuan D. Ma, Perry W. Scherer, Donald J. MacAllister, and Richard F. Stoisits.Automated material balance system for hydrocarbon reservoirs using a genetic procedure, 2000. (U. S.patent no. 6,128,579. Issued October 3 2000) * fi.espacenet.com ga00aMDMcCormack.

[154] Rouston Goodacre and Douglas B. Kell. Evolutionary computing for the characterisation and qualifica-tion of microbial systems from hyperspectral data. In ?, editor, Proceedings of the Workshop on FTIRSpectroscopy in Microbiological and Medical Diagnostic, pages –, Berlin, 19.-20. October 2000. RobertKoch-Institute. ga00aRGoodacre ⇒ midas.rki.de/workshop/lecture2000/goodacre.pdf.

[155] Michael G. Chaparian and Abdul Azad. Methods and targets of antibiotic resistance, 2001. (WO patentno. 0112842. Issued February 22 2001) * fi.espacenet.com ga01aMGChaparian.

[156] Thomas Robert Kiehl, James Norman Cawse, Carl Harold Hansen, and Robert Marcel Mattheyses. Highthroughput screening method and system, 2001. (WO patent no. 0186591. Issued November 15 2001) *fi.espacenet.com ga01aTRKiehl.

[157] Douglas Kell. Defence against the flood. Scientific Computing World, (62):16–18, January/February 2002.ga02aDouglasKell.

[158] Faramarz Valafar. Pattern recognition techniques in microarray data analysis. In Faramarz Valafar, editor,Techniques in Bioinformatics and Medical Informatics, volume 980 of Annals of the New York Academy ofSciences, pages 41–64. The New York Academy of Sciences, New York, 2002. (Proceedings of METMBS)ga02aFValafar.

[159] Gregory L. Moore and Costas D. Maranas. eCodonOpt: a systematic computational framework for opti-mizing codon usage in directed evolution experiments. Nucleic Acids Research, 30(11):2407–2416, ? 2002.ga02aGLMoore.

midas.rki.de/workshop/lecture2000/goodacre.pdf


[160] Aleksandr Y. Sedykh. Studies in applied computational chemistry: META model of photochemical reactionsunder UV under natural conditions and an MCASE approach to the search of a cure for Parkinson’s disease.PhD thesis, Case Western Reserve University, 2003. * www /UMI ga03aAYSedykh.

[161] Junji Kitagawa and Hitoshi Iba. Identifying metabolic pathways and gene regulation networks with evolu-tionary algorithms. In Gary B. Fogel and David W. Corne, editors, Evolutionary Computation in Bioinfor-matics, pages 255–278. Morgan Kaufmann Publishers, New York, 2003. †TKKpaa ga03aJunjiKitagawa.

[162] Jain-Shing Wu, Chungnan Lee, Chien-Chang Wu, and Yow-Ling Shiue. Primer design using geneticalgorithm. Bioinformatics, 20(11):1710–1717, ? 2004. ga04aJain-ShingWu.

[163] M. M. W. Etschmann, D. Sell, and J. Schrader. Medium optimization for the production of the aromacompound 2-phenylethanol using a genetic algorithm. Journal of Molecular Catalysis, 29(?):187–193, ?2004. ga04aMMWEtschmann.

[164] Roger M. Jarvis, Ewan W. Blanch, Alexander P. Golovanov, James Screen, and Royston Goodacre. Quan-tification of casein phoshorylation with conformational interpretation using Raman spectroscopy. TheAnalyst, 132(?):1053–1060, ? 2007. ga07aRogerMJarvis.

[165] Thomas McTavish and Diego Restrepo. Evolving solutions: the genetic algorithm and evolution strategiesfor finding optimal parameters. In ?, editor, Applications of Computational Intelligence in Biology, volume122 of Studies in Computational Intelligence, pages 55–78, ?, ? 2008. Springer-Verlag, Heidelberg. †www/Google ga08aTMcTavish.

[166] B. Liebmann, A. Friedl, and K. Varmuza. Determination of glucose and ethanol in bioethanol productionby near infrared spectroscopy and chemometrics. Analytica Chimica Acta, 642(1-2):171–178, 29. May 2009.ga09aBLiebmann.

[167] Yongxin Li, Yuanqian Li, Bo Zheng, Lingli Qu, and Can Li. Determination of foodborne pathogenic bacte-ria by multiplex PCR-microchip capillary electrophosesis with genetic algorithm-support vector regressionoptimization. Analytica Chimica Acta, 643(?):100–107, ? 2009. ga09aYongxinLi.

[168] D. Eric Walters and R. Michael Hinds. Genetically evolved receptor models (GERM): A computationalapproach to construction of receptor models. Journal of Medicinal Chemistry, 37(16):2527–2536, ? 1994.ga94aDEWalters.

[169] Richard S. Judson, E. P. Jaeger, and Adi M. Treasurywala. A genetic algorithm based method for dockingflexible molecules. Journal of Molecular Structure: THEOCHEM, 114(?):191–206, 10. May 1994. †CCA56831/94 ga94aJudson.

[170] Yong Liang (Leon) Xiao and Donald E. Williams. Genetic algorithms for docking of actinomycin Dand deoxyguanosine molecules with comparison to the crystal structure of actinomycin D-deoxyguanosinecomplex. Journal of Physical Chemistry, 98(29):7191–7200, July 1994. ga94bXiao.

[171] Yong Liang (Leon) Xiao and Donald E. Williams. Game: Genetic algorithm for minimization of en-ergy, an interactive FORTRAN program for three-dimensional intermolecular interactions. Computers &Chemistry, 18(2):199–201, June 1994. †Xiao ga94cXiao.

[172] Alex Gilman and John Ross. Genetic-algorithm selection of a regulatory structure that directs flux in asimple metabolic model. Biophysics Journal, 69(4):1321–1333, October 1995. ga95aGilman.

[173] Gareth Jones, Peter Willett, and Robert C. Glen. A genetic algorithm for flexible molecular overlay andpharmacophore elucidation. Journal of Computer-Aided Molecular Design, 9(6):532–549, December 1995.ga95aGJones.

[174] John Yen, David Randolph, James C. Liao, and Bogju Lee. A hybrid approach to modeling metabolicsystems using genetic algorithm and simplex method. In Proceedings of the 11th Conference on ArtificialIntelligence for Applications, pages 277–283, Los Angeles, CA, 20.-23. February 1995. IEEE ComputerSociety Press, Los Alamitos, CA. ga95aYen.

[175] John Yen, David Randolph, Bogju Lee, and James C. Liao. Hybrid genetic algorithm for the identificationof metabolic models. In Proceedings of the 1995 IEEE 7th International Conference on Tools with Arti-ficial Intelligence, volume ?, pages 4–7, Herndon, VA, 5.-8. November 1995. IEEE, Piscataway, NJ. †EIM035894/96 ga95bYen.

[176] Ronald E. Shaffer, Gary W. Small, and Mark A. Arnold. Genetic algorithm-based protocol for couplingdigital filtering and partial least-squares regression: Application to the near-infrared analysis of glucose inbiological matrices. Analytical Chemistry, 68(15):2663–2675, 1. August 1996. ga96aREShaffer.

Bibliography 83

[177] William S. Oetting, Scott C. Wildenberg, and Richard A. King. Genetic linkage analysis using pooledDNA and infrared detection of tailed STRP primer patterns. In Gerald E. Cohn, Steven A. Soper, andC. H. W. Chen, editors, Ultrasensitive Biochemical Diagnostics, volume SPIE-2680, pages 2262–234, ?,April 1996. The International Society for Optical Engineering. * www/SPIE Web ga96aWSOetting.

[178] Y. Komeiji, H. Yokoyama, M. Uebayasi, M. Taiji, T. Fukushige, D. Sugimoto, R. Takata, A. Shimizu,and K. Itsukashi. A high performance system for molecular dynamics simulation of biomolecules usinga special-purpose computer. In Pacific Symposium on Biocomputing ’96, volume ?, pages 472–487, 1996.†CCA84081/96 ga96bKomeiji.

[179] David R. Westhead, David E. Clark, and Christopher W. Murray. A comparison of heuristic searchalgorithms for molecular docking. Journal of Computer-Aided Molecular Design, 11(3):209–228, May1997. ga97aWesthead.

[180] C. E. Henderson, W. D. Potter, R. W. McClendon, and G. Hoogerboom. Using a genetic algorithm toselect parameters for a neural network that predicts aflatoxin contamination in peanuts. In Proceedingsof the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligenceand Expert Systems, volume 1, pages 460–469, Benicassim, Spain, 1.-4. June 1998. Springer-Verlag, Berlin(Germany). ga98aCEHenderson.

[181] Michael C. Hutter, Jeffrey R. Reimers, and Noel S. Hush. Modeling the bacterial photosynthetic reactioncenter. 1. magnesium parameters for the semiempirical AM1 method developed using a genetic algorithm.The Journal of Physical Chemistry B, 102(41):8080–8090, 8. October 1998. ga98aMCHutter.

[182] Vladimir Brusic, George Rudy, Marco Honeyman, Jurgen Hammer, and Leonard C. Harrison. Predictionof MHC class II-binding peptides using an evolutionary algorithm and artificial neural network. Bioinfor-matics, 14(2):121–130, 1998. ga98aVBrusic.

[183] Anon. A scientist seeks gold in a controversial drug patent. Wall Street Journal, ?(?):Marketplace/1,3. August 1998. †M. Gottlieb/genetic-programming list ga98bAnon.

[184] Amadeus Stephani, Juan Carlos Nuno, and Reinhart Heinrich. Optimal stoichiometric designs of ATP-producing systems as determined by an evolutionary algorithm. Journal of Theoretical Biology, 199(?):45–61, 1999. ga99aAmadeusStephani.

[185] Pedro Mendes. Gepasi - numerical simulation and optimization of biochemical kinetics. In ThomasLengauer, Reinhard Schneider, Peer Bork, Douglas Brutlag, Janice Glasgow, Hans-Werner Mewes, andRalf Zimmer, editors, Seventh International Conference on Intelligent Systems for Molecular Biology,page 96, Heidelberg (Germany), 6.-10. August 1999. ISMB’99. ga99aPedroMendes.

[186] M. Rizki and Michael Conrad. Evolve III: A discrete events model of an evolutionary ecosystem. BioSys-tems, 18:121–133, 1985. †Fogel/bib ga:Conrad85a.

[187] Michael Conrad. On design principles for a molecular computer. Communications of the ACM, 28(5):464–480, May 1985. ga:Conrad85b.

[188] M. Rizki and Michael Conrad. Computing the theory of evolution. Physica D, 22:83–99, 1986. †Fogel/bibga:Conrad86.

[189] J. W. Fickett and M. J. Cinkosky. A genetic algorithm for assembling chromosome physical maps. InC. R. Cantor and R. J. Robbins, editors, Proceedings of the Second International Conference on Bioinfor-matics, Supercomputing, and Complex Genome Analysis, volume ?, page ?, ?, ? 1993. World Scientific. †ga:Fickett93a.

[190] E. D. Goodman. Adaptive behavior of simulated bacterial cells subjected to nutritional shifts. PhD thesis,University of Michigan, Ann Arbor, 1972. †[1643] ga:GoodmanThesis.

[191] H. J. Poethke and H. Kaiser. A simulation approach to evolutionary game theory: The evolution of time-sharing behavior in a dragonfly mating system. Behavioural Ecology and Sociobiology, 18:155–163, 1985.†Fogel/bib ga:Kaiser85a.

[192] M. Kothe. Untersuchung der evolutionsstrategischen Bedeutung der nicht-genetischen Varianz mit Hilfeder [γ′, λ(µ/ρ, λ)]-Evolutionsstrategie. Technical Report SFB 146, Tierarztliche Hochschule Hannover,1979. (in German) †BackBib ga:Kothe79.

[193] John R. Koza, James P. Rice, and Jonathan Roughgarden. Evolution of food foraging strategies forthe Caribbean anolis lizard using genetic programming. Adaptive Behavior, 1(2):47–74, 1992. †[1644]ga:Koza92h.

[194] John R. Koza, James P. Rice, and Jonathan Roughgarden. Evolution of food foraging strategies for theCaribbean anolis lizard using genetic programming. Working Paper 92-06-028, Santa Fe Institute, 1992.ga:Koza92hh.


[195] J.-J. Yang and S. S. Rich. Linkers: A simulation programming system for generating populations withgenetic structure. Computers in Biology and Medicine, 20(2):135–144, 1990. †EI A064933/91 ga:Rich90a.

[196] Mateen M. Rizki, Louis A. Tamburino, and Michael A. Zmuda. Biological evolution as a paradigm forpreformance-driven search. In N. Sherwani, E. de Doncker, and J. Kapenga, editors, Computing in the90’s, pages 385–391, ?, ? 1991. Springer-Verlag, Berlin. †Fogel/bib ga:Rizki91a.

[197] M. Rizki and J. Chen. Mutation and recombination effects on the adaptability of sexual and asexualorganisms. In N. Sherwani, E. de Doncker, and J. Kapenga, editors, Computing in the 90’s, pages 399–405, ?, ? 1991. Springer-Verlag, Berlin. †Fogel/bib ga:Rizki91b.

[198] J. D. Walker, P. E. File, C. J. Miller, and W. B. Samson. The genie project: A genetic algorithmapplication to a sequencing problem in the biological domain. In Albrecht et al. [1645], pages 552–558.ga:Walker93a.

[199] C. W. Beck and L. A. Powell. Evolution of female mate choice based on male age: Are older males bettermates? Evolutionary Ecology Research, 2(1):107–118, January 2000. * ISI ga00aCWBeck.

[200] Kelly Kathleen Agnew. Butterfly oviposition behavior, pika biogeography, and lentiviral seuence evolution.PhD thesis, The University of Texas at Austin, 1999. * www /UMI ga00aKKAgnew.

[201] O. Braaten, O. K. Rodningen, I. Nordal, and T. P. Leren. The genetic algorithm applied to haplotype dataat the LDL receptor locus. Comput. Methods Programs Biomed., 61(1):1–9, ? 2000. * PubMed10660265ga00aOBraaten.

[202] Adrienne Claire Nwando James. A dynamical model of the distributed interaction of intracellular signals.PhD thesis, New Jersey Institute of Technology, 2001. * www /UMI ga01aACNJames.

[203] Atte Moilanen. Simulated evolutionary optimization and local search: Introduction and application to treesearch. Cladistics, 17(1 part 2):S12–S25, March 2001. ga01aAtteMoilanen ⇒ http://www.helsinki.fi/∼ihanski/Articles by others/Cladistics%202001%20Moilanen.pdf.

[204] Clare Bates Congdon. Gaphyl: A genetic algorithms approach to cladistics. In L. De Raedt and A. Siebes,editors, Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001,volume LNAI of 2168, pages 67–78, Freiburg (Germany), 3.-5. September 2001. Springer-Verlag BerlinHeidelberg. * www /Springer ga01aCBCongdon.

[205] Gabriel Yedid and Graham Bell. Microevolution in an electronic microcosm. American Naturalist,157(5):465–487, May 2001. ga01aGabrielYedid.

[206] Kazutaka Katoh, Kei ichi Kuma, and Takashi Miyata. Genetic algorithm-based maximum-likelihoodanalysis for molecular phylogeny. Journal of Molecular Evolution, 53(?):477–484, ? 2001. * www /Springerga01aKKatoh.

[207] Olga M. Perez, F. J. Marin, and O. Trelles. Improving biological sequence property distance by usinga genetic algorithm. In J. Mira and A. Prieto, editors, Bio-Inspired Applications of Connectionism, 6thInternational Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, volume LNCSof 2085, pages 539–546, Granada (Spain), 13.-15. June 2001. Springer-Verlag Berlin Heidelberg. * www/Springer ga01aOMPerez.

[208] Richard E. Lenski. Come fly, and leave the baggage behind. Science, 294(5542):533–534, 19. October 2001.ga01aRELenski.

[209] William R. Rice and Adam K. Chippindale. Sexual recombination and the power of natural selection.Science, 294(5542):555–559, 19. October 2001. ga01aWRRice.

[210] Alan B. Bond and Alan C. Kamil. Visual predators select for crypticity and polymorphism in virtual prey.Nature, 415(6872):609–613, 7. February 2002. ga02aAlanBBond.

[211] Alan R. Lemmon and Michel Milinkovitch. The metapopulation genetic algorithm: An efficient solutionfor the problem of large phylogeny estimation. Proceedings of the National Academy of Sciences of theUnited States of America, 99(16):10516–10521, 6. August 2002. ga02aARLemmon.

[212] Christopher W. Beck, Beth Shapiro, Semil Choksi, and Daniel E. L. Promislow. A genetic algorithmapproach to study the evolution of female preference based on male age. Evolutionary Ecology Research,4(?):275–292, ? 2002. ga02aCWBeck.

[213] Gabriel Yedid and Graham Bell. Macroevolution simulated with autonomously replicating computer pro-grams. Nature, 420(6917):810–812, 19./26. December 2002. ga02aGabrielYedid.

[214] Hans-Paul Schwefel. Deep insight from simple models of evolution. BioSystems, 64(1-3):189–198, January2002. ga02aH-PSchwefel.

http://www.helsinki.fi/~ihanski/Articles_by_others/Cladistics%202001%20Moilanen.pdf

http://www.helsinki.fi/~ihanski/Articles_by_others/Cladistics%202001%20Moilanen.pdf

Bibliography 85

[215] Klaus Reinhold, J. Kurtz, and Leif Engqvist. Cryptic male choice: sperm allocation strategies when femalequality varies. Journal of Evolutionary Biology, 15(2):201–209, March 2002. * ISI ga02aKReinhold.

[216] Matthew J. Brauer, Mark T. Holder, Laurie A. Dries, Derrick J. Zwickl, Paul O. Lewis, and David M.Hillis. Genetic algorithms and parallel processing in maximum-likelihood phylogeny inference. MolecularBiology and Evolution, 19(10):1717–1726, October 2002. ga02aMJBrauer.

[217] Philip Gerrish. Evolution plays dice. Nature, 420(6917):756–761, 19./26. December 2002.ga02aPhilipGerrish.

[218] Regina Celia Coelho, Vito Di Gesu, Giosue Lo Bosco, Julia Sawaki Tanaka, and Cesare Valenti. Shape-based features for cat ganglion retinal cells classification. Real-Time Imaging, 8(?):213–226, ? 2002.ga02aRCCoelho.

[219] Rosa Maria Garcıa-Gimeno, Cesar Hervas-Martınez, and Maria Isabel de Siloniz. Improving artificialneural networks with a pruning methodology and genetic algorithms for their applications in microbialgrowth prediction in food. Journal of Food Microbiology, 72(1-2):19–30, 30. January 2002. †www /Elsevierga02aRMGarcia-Gimeno.

[220] Sheri A. Church and Douglas R. Taylor. The evolution of reproductive isolation in spatially structuredpopulations. Evolution, 56(9):1859–1862, September 2002. ga02aSAChurch.

[221] Ying-Xin Zhang, Kim Perry, Victor A. Vinci, Keith Powell, Willem P. C. Stemmer, and Stephen B. delCardayre. Genome shuffling leads to rapid phenotypic improvement in bacteria. Nature, 415(6872):644–646,7. February 2002. ga02aYing-XinZhang.

[222] Marius C. Codrea, Tero Aittokallio, Mika Keranen, Esa Tyystjarvi, and Olli Nevalainen. Feature learningwith a genetic algorithm for fluorescence fingerprinting of plant species. PRL, 24(15):2663–2673, November2003. †www /Keith Price ga03aCMCodrea.

[223] Helen E. Johnson, David Broadhurst, Royston Goodacre, and Aileen R. Smith. Metabolic fingerprintingof salt-stressed tomatoes. Phytochemistry, 62(?):919–928, ? 2003. ga03aHelenEJohnson.

[224] Pierre Del Moral and Arnauld Doucet. On a class of genealogical and interacting Metropolis models. InSeminaire de Probabilites XXXVII, volume 1832 of Lecture Notes in Mathematics, pages 415–446, ?, ?2003. Springer-Verlag, Heidelberg. †www /Springer ga03aPDelMoral.

[225] Shinichi Kikuchi, Daisuke Tominaga, Masanori Arita, Katsutoshi Takahashi, and Masaru Tomita. Dy-namic modeling of genetic networks using genetic algorithm and S-system. Bioinformatics, 9(5):643–650,22. March 2003. ga03aShinichiKikuchi.

[226] Torbjorn Lestander. Multivariate NIR Studies of Seed-Water Interaction in Scots Pine Seeds (Pinussylvestris L.). PhD thesis, Swedish University of Agricultural Sciences, Department of Silviculture, Umea,2003. ga03aTBLestander.

[227] Christopher A. Edmonds, Anita S. Lillie, and L. Luca Cavalli-Sforza. Mutations arising in the wave frontof an expanding population. Proceedings of the National Academy of Sciences of the United States ofAmerica, 101(4):975–979, 27. January 2004. ga04aCAEdmonds.

[228] Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, and Susan J. Brown. Incremental genetic k-meansalgorithm and its application in gene expression data analysis. BMC Bioinformatics, 5(?):172–181, ? 2004.ga04aYiLu.

[229] Trevor E. Pitcher and Bryan D. Neff. MHC class IIB alleles contribute to both additive and nonadditivegenetic effects on survival in Chinook salmon. Molecular Ecology, 15(9):2357–2365, August 2006. †ISIga06aTEPitcher.

[230] Wei E. Huang, David Hopper, Royston Goodacre, Manfred Beckmann, Andrew Singer, and John Draper.Rapid characterization of microbial biodegradation pathways by FT-IR spectroscopy. Journal of Microbi-ological Methods, 67(?):273–280, ? 2006. ga06aWeiEHuang.

[231] Asaf Tsoar, Omri Allouche, Ofer Steinitz, Dotan Rotem, and Ronen Kadmon. A comparative evaluationof precence-only methods for modelling species distribution. Diversity and Distribution, 13(?):397–405, ?2007. ga07aAsafTsoar ⇒ .

[232] Eric Wajnberg, Patrick Coquillard, Louise E. M. Vet, and Thomas Hoffmeister. Optimal resource al-location to survival and reproduction in parasitic wasps foraging in fragmented habitats. PLoS One,7(6):–, 6. June 2012. ga12aEricWajnberg ⇒ http://www.plosone.org/article/info%3Adoi%2F10.1371%

2Fjournal.pone.0038227.

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0038227



[233] S. A. Berger, N. Alachiotis, and A. Stamatakis. An optimized reconfigurable system for computing thephylogenetic likelihood function on DNA data. In Parallel and Distributed Processing Symposium Work-shops & Phd Forum (IPDPSW), 2012 IEEE 26th International, pages 352–359, ?, 21.-25.May 2012. IEEE.†ISI/auto ga12aSABerger ⇒ .

[234] Victor J. Johnston. Is beauty in the eye of the beholder? Ethology and Sociobiology, 14(3):183–199, May1993. * PsycINFO1994-13342-001 ga93aVSJohnston.

[235] E. P. Jaeger, D. C. Pevear, P. J. Felock, G. R. Russo, and Adi M. Treasurywala. Genetic algorithm-basedmethod to design a primary screen for antirhinovirus agents. In H. K. Cox C. H. Reynolds, M. K. Holloway,editor, Proceedings of the Compute-Aided Molecular Design: Applications in Agrochemicals, Materials; andPharmaceuticals, page ?, San Diego, CA, 13.-17. March 1994. Amer Chemical Soc. (Washington). †P66663ga94aJaeger.

[236] I. V. Tetko, V. Y. Tanchuk, and A. I. Luik. Application of evolutionary algorithm to the structure-activityrelationship. In A. V. Sebald and Lawrence J. Fogel, editors, Proceedings of the Fourth Annual Conferenceon Evolutionary Programming (EP94), page ?, San Diego, CA, 24.-26. February 1994. World Scientific,Singapore. †conf.prog ga94aTetko.

[237] H. Kitano. Evolution of metabolism for morphogenesis. In R. Brooks and P. Maes, editors, Proceedingsof the Fourth International Workshop on the Synthesis and Simulation of Living Systems, pages 49–58,Cambridge, MA (USA), 6.-8. July 1994. MIT Press, Cambridge, MA. †CCA43687/96 ga94bKitano.

[238] M. Wegener and J. Gasteiger. Determination of maximum common 3D substructures using a geneticalgorithm. In ?, editor, Proceedings of the 1st European Conference on Computational Chemistry, volume330, page ?, Nancy, France, May 1994. AIP Press, Woodbury. †P68702 ga94bWegener.

[239] Adam Clark. Predator-prey interactions in a simulated world. In John R. Koza, editor, Genetic Algorithmsat Stanford 1995, page ?, Stanford, CA, 1995. Stanford Bookstore. †Koza ga95aClark.

[240] Donna J. D’Angelo and Lee M. Howard. Ecological applications of genetic algorithms: predicting organismdistribution in complex habitats. Canadian Journal of Fisheries and Aquatic Sciences, ?(?):?, ? 1995. (toappear) †[242] ga95aDAngelo.

[241] Emmanuel Chiva and Philippe Tarroux. Evolution of biological regulation networks under complex envi-ronmental constraints. Biological Cybernetics, 73(4):323–333, September 1995. ga95aEChiva.

[242] Lee M. Howard and Donna J. D’Angelo. The GA-P: A genetic algorithm and genetic programming hybrid.IEEE Expert, 10(3):11–15, June 1995. ga95aHoward.

[243] J. Biondi, Olivier Michel, and M. Clergue. Biological metaphors for evolving artificial cognitive systems. In?, editor, Proceedings of the 14th International Congress on Cybernetics, volume ?, pages 108–112, Namur,Belgium, 21.-25. August 1995. Assoc. Int. Cybernetique, Namur, Belgium. †CCA64051/97 ga95aJBiondi.

[244] Rebecca J. Parsons and Mark E. Johnson. DNA sequence assembly and genetic algorithms – new resultsand puzzling insights. In Christopher Rawlings, Dominic Clark, Russ Altman, Lawrence Hunter, ThomasLengauer, and Shoshana Wodak, editors, Proceedings of the Third International Conference on IntelligentSystems for Molecular Biology (ISMB-95), pages 277–284, Cambridge (UK), 16.-19. July 1995. AAAIPress, Menlo Park, CA. ga95aParsons.

[245] Robert P. Worden. A speed limit for evolution. Journal of Theoretical Biology, 176(1):137–152, 7. Septem-ber 1995. ga95aRPWorden.

[246] R. Galar. Global adaptive shifts in biological and trans-biological evolution. In Proceedings of the 17th In-formations Systems Architecture and Technology ISAT’95, pages 43–50, Wroclaw, Poland, ? 1995. OficynaWydawnicza Politech. Wroclawskiej 1995, Wroclaw, Poland. †CCA90785/96 ga95bGalar.

[247] Bogju Lee. Modeling of metabolic systems using fuzzy logic and supervisory simplex genetic algorithm (en-zyme kinetics, Escherichia coli, glycolysis, tricarboxylic acid cycle). PhD thesis, Texas A and M University,1996. (UMI No. DA9712785) †ChA 105709g/97 ga96aBogjuLee.

[248] David A. Noever, Andrew Brittain, Helen C. Matsos, Subbiah Baskaran, and Don Obenhuber. The effectsof variable biome distribution on global climate. BioSystems, 39(2):135–141, 1996. †Ecology 114216ga96aDaNoever.

[249] John Yen, Bogju Lee, and James C. Liao. Using a hybrid genetic algorithm and fuzzy logic for metabolicmodeling. In Proceedings of the Thirteenth National Conference on Artificial Intelligence and the EighthInnovative Applications of Artificial Intelligence Conference, volume 1, pages 743–749, Portland, OR,4.-8. August 1996. MIT Press, Cambridge, MA. †CCA 54586/97 ga96aJohnYen.

Bibliography 87

[250] Kenji Oyama and Fumio Mukai. Determination of optimum mating design with constraints on inbreedinglevel via a simple genetic algorithm. Animal Science and Technology, 67(10):835–843, 1996. †BAb61081ga96aKenjiOyama.

[251] Klaus Jaffe. The dynamics of the evolution of sex: why the sexes are, in fact, always two? Interciencia,21(6):259–, November-December 1996. * ISI ga96aKJaffe.

[252] A. Cangelosi and D. Parisi. A neural network model of caenorhabditis elegans: the circuit of touchsensitivity. Neural Processing Letters, 6(3):91–98, 1997. †PA6581/98 ga97aCangelos.

[253] Carlo Maley. Mutation rates as adaptations. Journal of Theoretical Biology, 186(3):339–348, 7. June 1997.ga97aCarloMaley.

[254] Richard Dawkins. Climbing Mount Improbable. Penguin Books, London, 1997. ga97aDawkins.

[255] Keith Downing. The emergence of emergence distributions: Using genetic algorithms to test biologicaltheories. In Back [1646], pages 751–758. ga97aDowning.

[256] Gary B. Fogel. The application of evolutionary computation to selected problems in molecular biology.In Proceedings of the 6th International Conference, Evolutionary Programming VI, volume ?, pages 23–33,Indianapolis, IN, 13.-16. April 1997. Springer-Verlag, Berlin (Germany). †CCA77030/97 ga97aGBFogel.

[257] Ales Gottvald. Biological consequences of evolutionary optimizations: mortality, variability, survival. InOsmera [1647], pages 56–58. ga97aGottvald.

[258] H. Ezoe and Y. Iwasa. Evolution of condition-dependent dispersal: A genetic-algorithm search for the ESSreaction norm. Researches on Population Ecology, 39(2):127–137, December 1997. * ISI ga97aHEzoe.

[259] Thiemo Krink and Fritz Vollrath. Analysing spider wed-building behaviour with rule-based simulationsand genetic algorithms. Journal of Theoretical Biology, 185(3):321–331, 7. April 1997. ga97aKrink.

[260] Laurent Dagorn, Michel Petit, and Jean-Michel Stretta. Simulation of large-scale tropical tuna movementsin relation with daily remote sensing data: The artificial life approach. BioSystems, 44(3):167–180, 1997.†BA60417 ga97aLDagorn.

[261] Narayan Behera and Vinyanand Nanjundiah. trans gene regulation in adaptive evolution: A geneticalgorithm model. Journal of Theoretical Biology, 188(2):153–162, 21. September 1997. ga97aNBehera.

[262] Adam Prugel-Bennett. Modelling evolving populations. Journal of Theoretical Biology, 185(1):81–95, ?1997. * BA 140850/97 ga97aPruegel-Bennett.

[263] Z. Barta and T. Szekely. The optimal shape of avian eggs. Functional Ecology, 11(5):656–662, October1997. * ISI ga97aZBarta.

[264] Zoltan Barta, Robyn Flynn, and Luc-Alain Giraldeau. Geometry for a selfish foraging group: A genetic al-gorithm approach. Proceedings of the Royal Society of London Series B Biological Sciences, 264(1385):1233–1238, 1997. †BA138736 ga97aZoltanBarta.

[265] Masashi Kamo, Takuya Kubo, and Yoh Iwasa. Neural network for female mate preference, trained bya genetic algorithm. Philosophical Transactions of the Royal Society of London B Biological Sciences,353(1367):399–406, 29. March 1998. * ISI BA 167509/98 ga98aMKamo.

[266] Rebecca J. Parsons. In Steven L. Salzberg, David B. Searls, and Simon Kasif, editors, ComputaionalMethods in Molecular Biology, volume 32 of New Comprehensive Biochemistry, chapter 9. Evolutionaryapproaches to computational biology, page ? Elsevier Science Ltd., 1998. †Amazon ga98aRJParsons.

[267] Yuval Rabani, Yuri Rabinovich, and A. Sinclair. A computational view of population genetics. RandomStruct. Algorithms (USA), 12(4):313–334, 1998. †CCA66014/98 ga98aYRabani.

[268] P. Eggenberger and R. Dravid. An evolutionary approach to pattern formation mechanisms on lepidopteranwings. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 1, pages 470–473,Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA84608/99 ga99aEggenberger.

[269] Gabriela Ochoa and Klaus Jaffe. On sex, mate selection and the Red Queen. Journal of TheoreticalBiology, 199(1):1–9, 7. July 1999. ga99aGOchoa.

[270] Lauren W. Ancel. A quantitative model of the Simpson-Baldwin effect. Journal of Theoretical Biology,196(2):197–209, 21. January 1999. ga99aLWAncel.

[271] Olivia P. Judson and Daniel Haydon. The genetic code: What is it good for? an analysis of the ef-fects of selection pressures on genetic codes. Journal of Molecular Evolution, 49(?):539–550, ? 1999.ga99aOPJudson.


[272] T. H. Reijmers, Ron Wehrens, F. D. Daeyaert, P. J. Lewi, and Lutgarde M. C. Buydens. Using geneticalgorithms for the construction of phylogenetic trees: application to G-protein coupled receptor sequences.BioSystems, 49(1):31–43, 1999. †ChA16015/99 ga99aReijmers.

[273] T. N. Sherrat and G. Roberts. The evolution of quantitatively responsive cooperative trade. J. Theor.Biol., 200(4):419–426, 21. October 1999. * PubMed10525400 ga99aTNSherrat.

[274] T. H. Reijmers, Ron Wehrens, and Lutgarde M. C. Buydens. Quality criteria of genetic algorithms for con-struction of phylogenetic trees. J. Comput. Chem, 20(8):867–876, 1999. †ChA140094/99 ga99bReijmers.

[275] Michael L. Simpson, Gary S. Sayler, James T. Fleming, and Bruce Applegate. Whole-cell biocomputing.TREDS in Biotechnology, 19(8):317–323, August 2001. ga01aMLSimpson.

[276] James C. Bean. Genetics and random keys for sequencing and optimization. Technical Report 92-43,University of Michigan, Ann Arbor, Department of Industrial and Operations Engineering, 1992. †ga:Bean92a.

[277] Walter Cedeno. An investigation of DNA mapping with genetic algorithms – preliminary results. In?, editor, Proceedings of the Fifth Workshop on Neural Networks: Academic/Industrial/NASA/Defence,volume SPIE-2204, pages 133–140, San Francisco, CA, 7.-10. November 1993. The International Societyfor Optical Engineering. * CCA 83929/94 P59914/94 ga:Cedeno93b.

[278] Rebecca J. Parsons, Stephanie Forrest, and Christian Burks. Genetic algorithms for DNA sequence assem-bly. In Lawrence Hunter, David Searls, and Jude Shavlik, editors, Proceedings of the First InternationalConference on Intelligent Systems for Molecular Biology (ISMB-93), pages 310–318, Bethesda, MD, 6.-9. July 1993. AAAI Press, Menlo Park, CA. ga:Forrest93a.

[279] Christian Burks, M. L. Engle, Stephanie Forrest, Rebecca J. Parsons, and C. A. Soderlund. Stochasticoptimization tools for genomic sequence assembly. In J. C. Venter, editor, Automated DNA Sequencingand Analysis Techniques. Academic Press, 1993. (in press) †[278] ga:Forrest93b.

[280] Akihiko Konagaya and Hiroyasu Kondou. Stochastic motif extraction using a genetic algorithm with theMDL principle. In Trevor N. Mudge, Veljko Milutionovic, and Lawrence Hunter, editors, Proceedings of the26th Hawaii International Conference on Systems Science (HICSS-26), volume 1, pages 746–755, Wailea,HI, 5.-8. January 1993. IEEE Computer Society Press, Los Alamitos, CA. ga:Konagaya93a.

[281] Masato Ishikawa, Tomoyuki Toya, Yasushi Totoki, and Akihiko Konagaya. Parallel iterative aligner withgenetic algorithm. Technical Report ICOT Technical Report: TR-0849, Institute for New GenerationComputer Technology, May 1993. ga:Konagaya93d.

[282] Masato Ishikawa, Tomoyuki Toya, Yasushi Totoki, and Akihiko Konagaya. Parallel iterative aligner withgenetic algorithm. Technical Report ICOT Technical Report: TR-0855, Institute for New GenerationComputer Technology, 1993. ga:Konagaya93e.

[283] Akihiko Konagaya. A stochastic approach to genetic information processing. Journal of Japanese Societyfor Artificial Intelligence, 8(4):427–438, July 1993. (in Japanese) * CCA 22816/93 ga:Konagaya93g.

[284] Carlos B. Lucasius, S. Werten, A. H. J. M. van Aert, Gerrit Kateman, and Marcel J. J. Blommers.Conformational analysis of DNA using genetic algorithms. In Hans-Paul Schwefel and R. Manner, editors,Parallel Problem Solving from Nature, volume 496 of Lecture Notes in Computer Science, pages 90–97,Dortmund (Germany), 1.-3. October 1990. Springer-Verlag, Berlin. ga:Lucasius90b.

[285] Carlos B. Lucasius, Marcel J. J. Blommers, Lutgarde M. C. Buydens, and Gerrit Kateman. A geneticalgorithm for conformational analysis of DNA. chapter 18, pages 251–281. 1991. ga:Lucasius91a.

[286] D. Platt and T. I. Dix. Construction of restriction maps using a genetic algorithm. In Trevor N. Mudge,Veljko Milutinovic, and Lawrence Hunter, editors, Proceedings of the 26th Hawaii International Conferenceon Systems Science (HICSS-26), volume 1, pages 756–762, Wailea, HI, 5.-8. January 1993. IEEE ComputerSociety Press, Los Alamitos, CA. * CCA 25752/94 ga:Platt93a.

[287] Stephen Hart. Test-tube survival of the molecularly fit. BioScience, 43(11):738–741, December 1993.ga:SHart93a.

[288] Louis Varetto. Typogenetics: an artificial genetic system. Journal of Theoretical Biology, 160(2):185–205,21. January 1993. ga:Varetto93a.

[289] L. A. Anbarasu, P. Narayanasamy, and V. Sundararajan. Multiple molecular sequence alignment by islandparallel genetic algorithm. Current Science, 78(7):858–863, 10. April 2000. ga00aAnbarasu.

Bibliography 89

[290] Huai-Kuang Tsai and Cheng-Yan Kao. Using genetic algorithms to construct physical maps of chro-mosomes with unique probes. In Satoru Miyano, Ron Shamir, and Toshihisa Takagi, editors, Currentsin Computational Molecular Biology, volume 30 of Frontiers Science, pages 167–168, Tokyo (Japan), 9.-11. March 2000. Universal Academy Press, Inc. (Proceedings of the Extended Abstracts of the FourthAnnual International Conference on Computational Molecular Biology, April 8.-11., 2000, Tokyo (Japan)ga00aHuai-KuangTsai.

[291] John A. Rose and Russell J. Deaton. An equilibrium analysis of the efficiency of whiplash PCR. pages338–345, 2000. ga00aJARose.

[292] Kensaku Sakamoto, Hidetaka Gouzu, Ken Komiya, Daisuke Kiga, Shigeyuki Yokoyama, Takashi Yokomori,and Masami Hagiya. Molecular computation by DNA hairpin formation. Science, 288(5469):1223–1226,19. May 2000. ga00aKensakuSakamoto.

[293] Qinghua Liu, Liman Wang, Anthony G. Frutos, Anne E. Condon, Robert M. Corn, and Lloyd M. Smith.DNA computing on surfaces. Nature, 403(6766):175–179, 13. January 2000. ga00aLMSmith.

[294] Masanori Arita, Akio Nishikawa, Masami Hagiya, Ken Komiya, Hidetaka Gouzu, and Kensaku Sakamoto.Improving sequence design for DNA computing. pages 875–882, 2000. ga00aMArita.

[295] Mitsunori Ogihara and Animesh Ray. DNA computing on a ship. Nature, 403(6766):143–144, 13. January2000. ga00aMitsunoriOgihara.

[296] Rupali V. Parbhane, Shyam Unniraman, Sanjeev S. Tambe, Valkunja Nagaraja, and Bhaskar D. Kulkarni.Optimum DNA curvature using a hybrid approach involving an artificial neural network and geneticalgorithm. J. Biomol. Struct. Dyn., 17(4):665–672, ? 2000. * ChA 305440c/00 ga00aParbhane.

[297] Russell Deaton and Junghuei Chen. Introduction to DNA computing. pages 1–25, 2000. ga00aRDeaton.

[298] R. V. Parbhane, S. Unniraman, S. S. Tambe, V. Nagaraja, and B. D. Kulkarni. Optimum DNA curvatureusing a hybrid approach involving an artificial neural network and genetic algorithm. J. Biomol. Struct.Dyn., 17(4):665–672, February 2000. * PubMed10698104 ga00aRVParbhane.

[299] Jorng-Tzong Horng, Ching-Mei Lin, Baw-Jhiune Liu, and Cheng-Yen Kao. Using genetic algorithms tosolve multiple sequence alignments. pages 883–890, 2000. ga00bJorng-TzongHorng.

[300] A. Nishikawa, M. Yamamura, and M. Hagiya. DNA computation simulator based on abstract bases. SoftComputing, 5(1):25–38, ? 2001. * www /Springer ga01aANishikawa.

[301] Apoorva Patel. Why genetic information processing could have a quantum basis. Journal of Biosciences,26(2):145–151, June 2001. ga01aAPatel.

[302] C. Ge, Y. Tan, H. Zhang, and N. Gu. DNA computer. Journal of Southeast University, 31(4):130–134,July 2001. * A02-10350 ga01aCGe.

[303] Farid J. Ghadessy, Jennifer L. Ong, and Philipp Holliger. Directed evolution of polymerase function bycompartmentalized self-replication. Proceedings of the National Academy of Sciences of the United Statesof America, 98(8):4552–4557, 10. April 2001. ga01aFJGhadessy.

[304] Hadi Quesneville and Dominique Anxolabehere. Genetic algorithm-based model of evolutionary dynam-ics of class II transposable elements. Journal of Theoretical Biology, 213(1):21–30, 7. November 2001.ga01aHadiQuesneville.

[305] Joelle N. Pelletier. A RACHITT for our toolbox. Nature Biotechnology, 19(4):314–315, April 2001.ga01aJNPelletier.

[306] Wayne M. Coco, William E. Levinson, Michael J. Crist, Harm J. Hektor, Aldis Darzins, Philip T. Pienkos,Charles H. Squires, and Daniel J. Monticello. DNA shuffling method for generating highly recombinedgenes and evolved enzymes. Nature Biotechnology, 19(4):354–359, April 2001. ga01aWMCoco.

[307] Yaakov Benenson, Tamar Paz-Elizur, Rivka Adar, Ehud Keinan, Zvi Livneh, and Ehud Shapiro. Pro-grammable and autonomous computing machine made of biomolecules. Nature, 414(6862):430–434,22. November 2001. ga01aYBenenson.

[308] Alessandra Carbone and Nadrian C. Seeman. Circuits and programmable self-assembling DNA structures.Proceedings of the National Academy of Sciences of the United States of America, 99(20):12577–12582,1. October 2002. ga02aACarbone.

[309] Christel Kamp and Stefan Bornholdt. Coevolution of quasispecies: B-cell mutation rates maximize viralerror catastrophes. Physical Review Letters, 88(6):068104–1–4, 11. February 2002. ga02aChristelKamp.

[310] David McMillen, Nancy Kopell, Jeff Hasty, and J. J. Collins. Synchronizing genetic relaxation oscillatorsby intercell signaling. Proceedings of the National Academy of Sciences of the United States of America,99(2):679–684, 22. January 2002. ga02aDavidMcMillen.


[311] I. Zwir, Romero Zaliz, and E. H. Ruspini. Automated biological sequence description by genetic multi-objective generalized clustering. In Faramarz Valafar, editor, Techniques in Bioinformatics and MedicalInformatics, volume 980 of Annals of the New York Academy of Sciences, pages 65–82. The New YorkAcademy of Sciences, New York, 2002. (Proceedings of METMBS) ga02aIZwir.

[312] John H. Reif. Successes and challenges. Science, 296(5567):478–479, 19. April 2002. ga02aJHReif.

[313] Roy Bar-Ziv, Tsvi Tlusty, and Albert Libchaber. Protein-DNA computation by stochastic assembly cas-cade. Proceedings of the National Academy of Sciences of the United States of America, 99(18):11589–11592,3. September 2002. ga02aRBar-Ziv.

[314] Ravinderjit S. Braich, Nickolas Chelyapov, Cliff Johnson, Paul W. K. Rothemund, and Leonard M. Adle-man. Solution of a 20-variable 3-SAT problem on a DNA computer. Science, 296(5567):499–502, 19. April2002. ga02aRSBraich.

[315] Stephen J. Freeland. The Darwinian genetic code: An adaptation for adapting? Genetic Programmingand Evolvable Machines, 3(2):113–128, 2002. †toc ga02aSJFreeland.

[316] Anon. (several tutorial articles on dna computing). Computer Today, 109(5):4–68, May 2002. (in Japanese)†toc ga02cAnon.

[317] Cedric Notredame. Using genetic algorithms for pairwise and multiple sequence alignments. In Gary B.Fogel and David W. Corne, editors, Evolutionary Computation in Bioinformatics, pages 87–112. MorganKaufmann Publishers, New York, 2003. †TKKpaa ga03aCNotredame.

[318] Dan Ashlock and Jim Golden. Evolutionary computation and fractal visualization of sequence data. InGary B. Fogel and David W. Corne, editors, Evolutionary Computation in Bioinformatics, pages 231–254.Morgan Kaufmann Publishers, New York, 2003. †TKKpaa ga03aDanAshlock.

[319] Emanuel Falkenauer and Arnaud Marchand. Clustering microarray data with evolutionary algorithms. InGary B. Fogel and David W. Corne, editors, Evolutionary Computation in Bioinformatics, pages 219–230.Morgan Kaufmann Publishers, New York, 2003. †TKKpaa ga03aEFalkenauer.

[320] Jacek Blazewicz and Marta Kasprzak. Determining genome sequences from experimental data using evolu-tionary computation. In Gary B. Fogel and David W. Corne, editors, Evolutionary Computation in Bioin-formatics, pages 39–58. Morgan Kaufmann Publishers, New York, 2003. †TKKpaa ga03aJBlazewicz.

[321] Kieun Kim. Parallel hierarchical adaptive genetic algorithm for genome sequencing. PhD thesis, SyracuseUniversity, 2003. * www /UMI ga03aKieunKim.

[322] Terrence S. T. Mak and K. P. Lam. High speed GAML-based phylogenetic tree reconstruction usingHW/SW codesign. In Proceedings of the 2003 IEEE Bioinformatics Conference, CSB’03, pages 470–473,?, 11.-14. August 2003. IEEE, Piscataway, NJ. ga03aTerrenceSTMak.

[323] Willem Stemmer and Brett Holland. Survival of the fittest molecule. American Scientist, 91(6):526–533,November-December 2003. ga03aWStemmer.

[324] Yaakov Benenson, Rivka Adar, Tamar Paz-Elizur, Zvi Livneh, and Ehud Shapiro. DNA molecule providesa computing machine with both data and fuel. Proceedings of the National Academy of Sciences of theUnited States of America, 100(5):2191–2196, 4. March 2003. ga03aYBenenson03a.

[325] Gary B. Fogel, Kumar Chellapilla, and David B. Fogel. Identification of coding regions in DNA sequencesusing evolved neural networks. In Gary B. Fogel and David W. Corne, editors, Evolutionary Computation inBioinformatics, pages 193–218. Morgan Kaufmann Publishers, New York, 2003. †TKKpaa ga03bGBFogel.

[326] Anon. DNA], optiikka, nanoputki vai kantti? [DNA, optics, nanotube, or quantum? Tekniikka & Talous,?(?):15, 20. March 2003. ga03cAnon.

[327] E. Zacharia and D. Maroulis. An usupervised and fully-automated image analysis method for cDNA mi-croarrays. In ?, editor, Proceedings of the 20th IEEE International Symposium on Computer-Based MedicalSystems, pages 389–396, ?, 20.-22. June 2007. IEEE Computer Society, Piscataway, NJ. ga07aEZacharia.

[328] Mehmet Kaya and Melikali Guc. A novel approach to extract structured motifs by multi-objective geneticalgorithm. In Seppo Puuronen, Mykola Pechhenizkiy, Alexey Tsymbal, and Dah-Jye Lee, editors, Pro-ceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, pages 278–283,Jyvaskyla (Finland), 17.-19. June 2008. IEEE Computer Society, Piscataway, NJ. ga08aMehmetKaya.

[329] Hung Tien Bu. Pipelined FPGA design of the Goertzel algorithm for exon prediction. In Circuits and Sys-tems (ISCAS), 2012 Ieee International Symposium on, pages 572–575, ?, 20-23 May 2012. IEEE. †ISI/autoga12aHungTienBu ⇒ .

Bibliography 91

[330] Y Xin, Ping Fen, and Jichang Kan. A new Boolean logic algorithm for DNA sequence alignment. InBiomedical Engineering and Informatics (BMEI), 2012 5th International Conference on, pages 941–944,?, 16-18 Oct 2012. IEEE. †ISI/auto ga12aYXin ⇒ .

[331] Ching Zhang. Genetic algorithm for molecular sequence comparison. In Proceedings of the 1994 IEEEInternational Conference on Systems, Man, and Cybernetics, volume 2, pages 1926–1931, San Antonio,TX, 2.-5. October 1994. IEEE, New York. * EI M096132/95 ga94aCZhang.

[332] J. D. Walker, P. E. File, C. J. Miller, and W. B. Samson. A hybrid genetic algorithm application to agenetics sequencing problem. In IEE Colloquium on ‘Molecular Bioinformatics’, volume IEE Digest No.1993/029, pages 7/1–7/12, London, 28. February 1994. IEE, London. * CCA 39721/94 ga94aWalker.

[333] Tetsushi Yada, Masato Ishikawa, Hidetoshi Tanaka, and Kiyoshi Asai. DNA sequence analysis usinghidden Markov model and genetic algorithm. ICOT Technical Memorandom TM-1314, Institute for NewGeneration Computer Technology, October 1994. ga94aYada.

[334] D. E. Cooke and J. E. Hunt. Recognising promoter sequences using an artificial immune system. InChristopher Rawlings, Dominic Clark, Russ Altman, Lawrence Hunter, Thomas Lengauer, and ShoshanaWodak, editors, Proceedings of the Third International Conference on Intelligent Systems for MolecularBiology (ISMB-95), pages 89–97, Cambridge (UK), 16.-19. July 1995. AAAI Press, Menlo Park, CA. *CCA 7830/96 ga95aDECooke.

[335] J. B. Golden. Evolutionary optimization of a neural network-based signal processor for photometric datafrom an automated DNA sequencer. In McDonnell et al. [1648], page ? †conf.prog ga95aGolden.

[336] Simon G. Handley. Predicting whether or not a nucleic acid sequence is an e. coli promoter region usinggenetic programming. In Proceedings of the International IEEE Symposium on Intelligence in Neural andBiological Systems, pages 122–127, Hemdon, VA, 29.-31. May 1995. IEEE. †EI M141582/95 ga95aHandley.

[337] V. Rao Vemuri and Walter Cedeno. Practical handbook of genetic algorithms. In Chambers [1649], chapter0. Multi-niche crowding for multi-modal search, pages 5–29. ga95aVemuri.

[338] Rebecca J. Parsons, Stephanie Forrest, and Christian Burks. Genetic algorithms operators, and DNAfragment assembly. Machine Learning, 21(1-2):11–33, October/November 1995. ga95bParsons.

[339] Simon G. Handley. Classifying nucleid acid sub-sequences as introns or exons using genetic programming.In Christopher Rawlings, Dominic Clark, Russ Altman, Lawrence Hunter, Thomas Lengauer, and ShoshanaWodak, editors, Proceedings of the Third International Conference on Intelligent Systems for MolecularBiology (ISMB-95), pages 162–169, Cambridge (UK), 16.-19. July 1995. AAAI Press, Menlo Park, CA. *CCA 7837/96 toc ga95cHandley.

[340] Mischa L. M. Beckers, E. P. P. A. Derks, W. J. Melssen, and Lutgarde M. C. Buydens. Parallel processingof chemical information in a local area network III. Using genetic algorithms for conformational analysisof biomacromolecules. Computers & Chemistry, 20(4):449–457, ? 1996. ga96aBeckers.

[341] D. Boneh, C. Dunworth, R. J. Lipton, and J. Sgall. On the computational power of DNA. Discrete AppliedMathematics (Netherlands), 71(1-3):79–94, 1996. †CCA12724/97 ga96aBoneh.

[342] Hirofumi Doi and Mitsuru Furusawa. Evolution is promoted by asymmetrical mutations in DNAreplication-genetic algorithm with double-stranded DNA. Fujitsu Sci. Tech. J. (Japan), 32(2):248–255,1996. †CCA26672/97 ga96aHDoi.

[343] M. C. M. Izquierdo and Juan Seijas. Genetic algorithm for DNA/RNA sequence comparison. In Proceedingsof the 8th European Simulation Symposium, volume 2, pages 98–101, Genoa, Italy, 24.-26. October 1996.SCS, San Diego, CA. †CCA32090/97 ga96aIzquierd.

[344] Cedric Notredame and Desmond G. Higgins. SAGA: sequence alignment by genetic algorithm. NucleicAcids Research, 24(8):1515–1524, 15. April 1996. (http://www.ebi.ac.uk/∼\cedric/SAGA PAPER HTML/

saga paper.html) ga96aNotredame.

[345] Tetsushi Yada, Masato Ishikawa, Hidetoshi Tanaka, and Kiyoshi Asai. Signal pattern extraction from DNAsequences using hidden Markov model and genetic algorithm. Transactions of the Information ProcessingSociety of Japan, 37(6):1117–1129, 1996. In Japanese ga96aTetsushiYada.

[346] Y. Kawamoto, H. Matsuda, and A. Hashimoto. Construction of molecular phylogenetic trees using agenetic algorithm. Transactions of the Information Processing Society of Japan, 37(6):1107–1116, 1996.(In Japanese) †CCA84201/96 ga96bKawamoto.

[347] Tetsushi Yada, Masato Ishikawa, Hidetoshi Tanaka, and Kiyoshi Asai. Extraction of hidden Markov modelrepresentations of signal patterns in DNA sequences. In ?, editor, Proceedings of the Pacific Symposiumon Biocomputing, pages 686–696, ?, ? 1996. ? * www /ScienceDirect ga96bTetsushiYada.

http://www.ebi.ac.uk/~ cedric/SAGA_PAPER_HTML/saga_paper.html

http://www.ebi.ac.uk/~ cedric/SAGA_PAPER_HTML/saga_paper.html


[348] Rolf Backofen and Peter Clote. Evolution as a computational engine. In ?, editor, Proceedings of theAnnual Conference of the European Association for Computer Science Logic, volume 1414 of Lecture Notesin Computer Science, pages 35–55, Arhus, Denmark, ? 1997. Springer-Verlag, Berlin. * www/Backofenga97aBackofen.

[349] A. Bansal, C. Cannings, and N. Sheehan. An evaluation of applications of the genetic algorithm to theproblem of ordering genetic loci on human chromosomes using radiation hydrid data. IMA Journal ofMathematics Applied in Medicine and Biology, 14(3):161–187, ? 1997. * BA 129581/98 ga97aBansal.

[350] Mischa L. M. Beckers, Lutgarde M. C. Buydens, Jeroen A. Pikkermaat, and Cornelis Altona. Applicationof a genetic algorithm in the conformational analysis of methylene-acetal-linked thymine dimers in DNA:Comparison with distance geometry calculations. Journal of Biomolecular NMR, 9(1):25–34, ? 1997. *ga97aBeckers.

[351] Bin Fu and R. Beigel. On molecular approximation algorithms for NP optimization problem. In DNABased Computers III, pages 207–216, 1997. †CCA89121/99 ga97aBinFu.

[352] A. J. Blumberg. Parallel computation on a DNA substrate. In DNA Based Computers III, pages 265–279,1997. †CCA92943/99 ga97aBlumberg.

[353] R. Deaton, M. Garzon, R. C. Murphy, D. R. Franschetti, J. A. Rose, and S. E. Stevens Jr. Informationtransfer through hybridization reactions in DNA based computing. In Koza et al. [1650], page ? †conf.progga97aDeaton.

[354] Diana Rooß. Recent developments in DNA-computing. In Proceedings of the 1997 27th InternationalSymposium on Multiple-Valued Logic, pages 3–9, Antigonish, Nova Scotia (Canada), 28.-30. May 1997.IEEE, Piscataway, NJ. ga97aDRoos.

[355] M. Garzon, P. Neathery, R. Deaton, R. C. Murphy, D. R. Franschetti, and S. E. Stevens Jr. A new metricfor DNA computing. In Koza et al. [1650], page ? †conf.prog ga97aGarzon.

[356] Natasa Jonoska and Stephen A. Karl. Ligation experiments in computing with DNA. In Proceedingsof the IEEE International Conference on Evolutionary Computation, pages 261–266, Indianapolis, IN,13.-16. April 1997. IEEE, Piscataway, NJ. ga97aNJonoska.

[357] Rebecca J. Parsons and Mark E. Johnson. A case study in experimental design applied to genetic algo-rithms with applications to DNA sequence assembly. American Journal of Mathematical and ManagementSciences, 17(3-4):369–396, ? 1997. ga97aRJParsons.

[358] J. A. Rose, Y. Gao, M. Garzon, and R. C. Murphy. DNA implementation of finite-state machines. In Kozaet al. [1650], page ? †conf.prog ga97aRose.

[359] Masanori Arita Akira Suyama and Masami Hagiya. A heuristic approach for Hamiltonian path problemwith molecules. In Koza et al. [1650], page ? †conf.prog ga97aSuyama.

[360] V. Gupta, S. Parthasarathy, and M. J. Zaki. Arithmetic and logic operations with DNA. In DNA BasedComputers III, pages 23–25, 1997. †CCA89718/99 ga97aVGupta.

[361] Tomohiro Yoshikawa, Takeshi Furuhashi, and Yoshiki Uchikawa. The effects of combination of DNA codingmethod with pseudo-bacterial GA. In Proceedings of 1997 IEEE International Conference on EvolutionaryComputation, pages 285–290, Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. †EEA56313/97ga97aYoshikawa.

[362] Yang Yang, Yuling Li, and Luise S. Couchman. Solving ray acoustic problems with a DNA computer. TheJournal of the Acoustical Society of America, 101(5):2485–2490, May 1997. ga97aYYang.

[363] R. Deaton, R. C. Murphy, J. A. Rose, M. Garzon, D. R. Franceschetti, and S. E. Stevens Jr. A DNAbased implementation of an evolutionary search for good encodings for DNA computation. In Proceedingsof 1997 IEEE International Conference on Evolutionary Computation, pages 267–271, Indianapolis, IN,13.-16. April 1997. IEEE, New York, NY. †CCA45992/97 ga97bDeaton.

[364] Takeshi Furuhashi. Fuzzy evolutionary computation. chapter 2.2 Development of if-then rules with theuse of DNA coding, pages 108–105. Kluwer Academic Publishers, New York, 1997. ga97bFuruhashi.

[365] Hillol Kargupta and Brian Stafford. From DNA to protein: transformations and their possible role inlinkage learning. In Back [1646], pages 409–416. ga97bKargupta.

[366] Alexander Kel, Andrey Ptitsyn, Vladimir Babenko, Sebastian Meier-Ewert, and Hans Lehrach. A geneticalgorithm for designing gene family-specific oligonucleotide sets used for hybridization: the G protein-coupled receptor protein superfamily. Bioinformatics, 14(3):259–270, 1998. ga98aAKel.

Bibliography 93

[367] Richard Beigel and Bin Fu. Solving intractable problems with DNA computing. In Proceedings of the 13thAnnual IEEE Conference on Computational Complexity, pages 154–168, Buffalo, NY, 15.-18. June 1998.IEEE Computer Society Press, Los Alamitos, CA. ga98aBeigel.

[368] Ching Zhang and A. K. C. Wong. A technique of genetic algorithm and sequence synthesis for multiplemolecular sequence alignment. In Proceedings of the 1998 IEEE International Conference on Systems,Man, and Cybernetics, volume 3, pages 2442–2447, San Diego, CA, 11.-14. October 1998. IEEE, NewYork, NY. †PA62375/99 ga98aChiZhang.

[369] H. Douzono, S. Hara, and Y. Noguchi. An application of genetic algorithm to DNA sequencing byoligonucleotide hybridization. In Proceedings of the IEEE International Joint Symposia on Intelligenceand Systems, volume ?, pages 92–98, Rockville, MD (USA), 21.-23. May 1998. IEEE, Los Alamitos, CA.†CCA58955/98 ga98aDouzono.

[370] Eric Bach, Anne Condon, Elton Glaser, and Celena Tanguay. DNA models and algorithms for NP-completeproblems. Journal of Computer and System Sciences, 57(2):172–186, October 1998. ga98aEricBach.

[371] Gheorghe Paun, editor. Computing with Bio-Molecules, Theory and Experiments. Discrete Mathematicsand Theoretical Computer Science. Springer-Verlag, Berlin, 1998. †HY/TKOL ga98aGPaun.

[372] Hideo Matsuda. Search for maximum likelihood phylogenetic tree using a genetic algorithm. SeisanGijutsu, 50(1):57–60, ? 1998. * ChA 253367e/98 ga98aHideoMatsuda.

[373] L. F. Landweber. The evolution of DNA computing - natures solution to a path problem. In Proceedings ofthe IEEE International Joint Symposia on Intelligence and Systems, pages 133–139, Rockville, MD (USA),21.-23. May 1998. IEEE Computer Society Press, Los Alamitos , CA. †P80657 ga98aLandwebe.

[374] Laura F.Landweber. The evolution of DNA computing: nature’s solution to a path problem. In Proceedingsof the IEEE International Joint Symposia on Intelligence and Systems, volume ?, pages 133–139, Rockville,MD (USA), 21.-23. May 1998. IEEE, Los Alamitos, CA. †PA 120239/98 ga98aLandweber.

[375] Leonard M. Adleman. Computing with DNA. Scientific American, ?(?):34–, August 1998. ga98aLMAdleman.

[376] Louis Varetto. Studying artificial life with a molecular automaton. Journal of Theoretical Biology,193(2):257–285, 21. July 1998. ga98aVaretto.

[377] H. Douzono, S. Hara, and Y. Noguchi. An application of genetic algorithm to DNA-sequencing by oligonu-cleotide hybridization. In Proceedings of the IEEE International Joint Symposia on Intelligence and Sys-tems, pages 92–98, Rockville, MD (USA), 21.-23. May 1998. IEEE Computer Society Press, Los Alamitos, CA. †P80657 ga98bDouzono.

[378] Gheorghe Paun, G. Rozenberg, and Arto Salomaa, editors. DNA Computing — New Computing Paradigms.Text in Theoretical Computer Science, An EATCS Series. Springer-Verlag, Berlin, 1998. †brochure/Springer ga98bGPaun.

[379] D. Harlan Wood and Junghuei Chen. Physical separation of DNA according to royal road fitness. In Pro-ceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages 1011–1016, Wash-ington D.C., 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA80725/99 ga99aDHarWood.

[380] Gary Benson. Tandem repeats finder: a program to analyze DNA sequences. Nucleid Acids Research,27(2):573–580, ? 1999. * ChA 277619f/99 ga99aGaryBenson.

[381] J. Colin Cox, David S. Cohen, and Andrew D. Ellington. The complexities of DNA computation. Trendsin Biotechnology, 17(4):151–154, April 1999. ga99aJColinCox.

[382] M. Ogihara and A. Ray. Executing parallel logical operations with DNA. In Proceedings of the 1999Congress on Evollutionary Computation-CEC99, volume 2, pages 972–979, Washington, DC, 6.-9. July1999. IEEE, Piscataway, NJ. †CCA80719/99 ga99aOgihara.

[383] Marc Ostermeier, Jae Hoon Shim, and Stephen J. Benkovic. A combinatorial approach to hybrid enzymesindependent of DNA homology. Nature Biotechnology, 17(?):1205–1160, December 1999. ga99aOstermeier.

[384] R. Freund, L. Kari, and Gh. Paun. DNA computing based on splicing: The existence of universal com-puters. Theory of Computing Systems, 32(1):69–112, January/February 1999. ga99aRFreund.

[385] John Sutherland. Enzyme evolution. Chemistry & Industry, ?(19):745–747, 4. October 1999.ga99aSutherland.

[386] Vikram Krishnamurthy and E. V. Krishnamurthy. Rule-based programming paradigm: a formal basis forbiology, chemical and physical computation. BioSystems, 49(?):205–228, ? 1999. ga99aVKrishnamurthy.

[387] P. Wasiewicz, T. Janczak, J. J. Mulawka, and A. Plucienniczak. The inference via DNA computing.In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 2, pages 988–993,Washington D.C., 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA80721/99 ga99aWasiewic.


[388] Thomas Back, Joost N. Kok, and G. Rozenberg. Cross-fertilization between evolutionary computationand DNA-based computing. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99,volume 2, pages 980–987, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA80720/99ga99bTBack.

[389] K. Chellapilla and G. B. Fogel. Multiple sequence alignment using evolutionary programming. In Proceed-ings of the 1999 Congress on Evolutionary Computation-CEC99, volume 1, pages 445–452, Washington,DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA84606/99 ga99eChellapilla.

[390] K. Wilmanski and A. N. van Breemen. Competitive adsorption of trichloroethylene and humic substancesfrom groundwater on activated carbon. Water Research, 24(6):773–779, 1990. †BackBib ga:Breemen90a.

[391] Hugh M. Cartwright and Stephen P. Harris. Analysis of the distribution of airborne pollution usinggenetic algorithms. Atmospheric Environment Part A General Topics, 27A(12):1783–1791, August 1993.ga:Cartwright93b.

[392] John J. Grefenstette. Genetic algorithms for changing environments. In Manner and Manderick [1651],pages 137–144. ga:Grefenstette92b.

[393] M. Heidari and P. C. Heigold. Determination of hydraulic conductivity tensor using a nonlinear leastsquares estimator. Water Resources Bulletin, 29(3):415–424, June 1993. ga:Heidari93a.

[394] David P. Ahlfeld and Ann E. Mulligan. chapter 8.3.3 Nongradient solution methods, pages 167–169.Academic Press, San Diego, CA, 2000. ga00aAhlfeld.

[395] J. Roupec, Pavel Osmera, and Radek Matousek. The behavior of genetic algorithms in dynamic envi-ronment. In Matousek Radek and Osmera Pavel, editors, 7th International Conference on Soft Comput-ing, Mendel 2001, pages 84–90, Brno, Czech Republic, 6.- 8.June 2001. Brno University of Technology.ga01aJRoupec.

[396] Mikko Ilvonen. VALMA-annoslaskentamallin rajoitettu optimointi geneettisella algoritmilla [Constrainedoptimization of the VALMA dose assessment model by a genetic algorithm]. Licentiate thesis, HelsinkiUniversity of Technology, 2002. †www /TKK ga02aMikkoIlvonen.

[397] Maria Popa, Moise Achim, Maria Jitaru, and Ioan Ileana. Study regarding the metabolism of heavy metalsin the organism of children in an intense polluted area. pages 57–61, 2002. ga02aMPopa.

[398] Weizhen Lu, H. Y. Fan, and S. M. Lo. Application of evolutionary neural network method in predictingpollutant levels in downtown area of Hong Kong. NeuroComputing, 51(?):387–400, ? 2003. †WenjianWang ga03aWeizhenLu.

[399] Ahmed Kalafallah and Khaled El-Rayes. Optimizing airport construction site layouts to minimize wildlifehazards. Journal of Management in Engineering, 22(4):176–185, October 2006. ga06aAKalafallah.

[400] P. Somasundaram, R. Lakshmiramanan, and K. Kuppusamy. New approach with evolutionary program-ming algorithm to emission constrained economic dispatch. International Journal of Power and EnergySystems, 26(3):?, ? 2006. †Google ga06aPSomasundaram.

[401] Risto K. Heikkinen, Miska Luoto, Miguel B. Araujo, Raimo Virkkala, Wilfried Thuiller, and Martin Sykes.Methods and uncertainties in bioclimatic envelope modelling under climate change. Progress in PhysicalGeography, 30(6):751–777, ? 2006. ga06aRistoKHeikkinen ⇒ http://citeseerx.ist.psu.edu/viewdoc/

download?doi=10.1.1.105.4455&rep=rep1&type=pdf.

[402] Geoffrey N. Elliot, Hilary Worgan, David Broadhurst, John Draper, and John Scullion. Soil differentia-tion using fingerprint Fourier transform infrared spectroscopy, chemometrics and genetic algorithm-basedfeature selection. Soil Biology & Biochemistry, 39(?):2888–2896, ? 2007. ga07aGeoffreyNElliot.

[403] Sunil Kumar, Sarah A. Spaulding, Thomas J. Stohlgren, Karl A. Hermann, Travis S. Schmidt, and Loren L.Bahls. Potential habitat distribution for the freshwater diatom didymosphenia geminata in the continentalUS. Frontiers in Ecology and the Environment, 7(?):415–420, ? 2009. * Google ga09aSunilKumar ⇒http://www.esajournals.org/doi/abs/10.1890/080054.

[404] Akhil Kadiyala, Devinder Kaur, and Ashok Kumar. Application of MATLAB to select an optimumperformaing genetic algorithm for predicting in-vehicle pollutant concentrations. Environmental Progress& Sustainable Energy, 29(4):398–405, December 2010. ga10aAkhilKadiyala ⇒ http://onlinelibrary.

wiley.com/doi/10.1002/ep.10527/full.

[405] Jason Kingdon and Laura Dekker. Development needs for diverse genetic algorithm design. In ? [1652],pages 3/1–3/11. * EI 164427/94 ga94aKingdon.

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.105.4455&rep=rep1&type=pdf

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.105.4455&rep=rep1&type=pdf

http://www.esajournals.org/doi/abs/10.1890/080054

http://onlinelibrary.wiley.com/doi/10.1002/ep.10527/full

http://onlinelibrary.wiley.com/doi/10.1002/ep.10527/full

Bibliography 95

[406] Brian J. Ritzel, J. Wayland Eheart, and S. Ranjithan. Using genetic algorithms to solve a multipleobjective groundwater pollution containment problem. Water Resources Research, 30(5):1589–1603, May1994. ga94aRitzel.

[407] K. Tout, J. Ribeiro-Filho, Bernard Mignot, and Niba Idlebi. A cross-platform parallel genetic algorithmprogramming environment. In ?, editor, Proceedings of the 1994 World Transputer Congress, TransputerApplications and Systems ’94, pages 79–90, Como (Italy), 5.-7. September 1994. IOS Press, Amsterdam.* CCA 40639/95 ga94aTout.

[408] Jose L. Ribeiro Filho, Philip C. Treleaven, and Cesare Alippi. Genetic-algorithm programming environ-ments. Computer, 27(6):28–45, June 1994. ga94cRibeiroFilho.

[409] David St. John and Scott Samuelsen. Optimal, active control of oxides of nitrogen (NOx) emissions froma natural gas-fired burner using a simple genetic algorithm. In Proceedings of the 4th IEEE Conference onControl Applications, pages 673–678, New York, 28.-29. September 1995. IEEE, New York. ga95aJohn.

[410] Leah Lucille Rogers, Farid U. Dowla, and Virginia M. Johnson. Optimal field-scale groundwater remedia-tion using neural networks and genetic algorithm. Environmental Science & Technology, 29(5):1145–1156,May 1995. ga95aLLRogers.

[411] C. L. Huang and A. S. Mayer. Dynamic optimal-control for groundwater remediation management usinggenetic algorithms. In K. H. Jensen B. J. Wagner, T. H. Illangasekare, editor, Proceedings of the Modelsfor Assessing and Monitoring Groundwater Quality, page ?, Boulder, CO, 2.-14. July 1995. Int. Assoc.Hydrological Sciences, Wallingford. †P67235 ga95bCLHuang.

[412] Yong-Hua Song, F. Li, R. Morgan, and D. Williams. Environmentally constrained electric power dispatchwith genetic algorithms. In ICEC’95 [1653], pages 17–20. †prog. ga95bSong.

[413] M. M. Aral and J. Guan. Optimal groundwater remediation design using differential genetic algorithm. InA. A. Aldama, J. Aparicio, C. A. Brebbia, W. G. Gray, I. Herrera, and G. F. Pinder, editors, Proceedingsof the Computational Methods in Water Resources XI, volume 1, page ?, Cancun, Mexico, July 1996.Computational Mechanics Publications Ltd, Southampton. †P72653 ga96aAral.

[414] Ni-Bin Chang and H. W. Chen. The application of genetic algorithm and nonlinear fuzzy programming forwater pollution control in a river basin. In Proceedings of the 1996 Asian Fuzzy Systems and InformationProcessing, pages 224–229, Kenting, Taiwan, 11.-14. December 1996. IEEE, New York, NY. †CCA35011/97ga96aChang.

[415] J. H. Yoon and C. A. Shoemaker. Applications of salqr and evolutionary algorithms to optimizationof graundwater bioremediation. In A. A. Aldama, J. Aparicio, C. A. Brebbia, W. G. Gray, I. Herrera,and G. F. Pinder, editors, Proceedings of the Computational Methods in Water Resources XI, volume 1,page ?, Cancun, Mexico, July 1996. Computational Mechanics Publications Ltd. Southampton. †P72653ga96aJHYoon.

[416] B. Kermanshahi, H. Okamura, T. Moriyama, and K. Takahashi. Genetic algorithm for economic loaddispatch: coordinating economy and environment objectives. In ?, editor, Proceedings of the InternationalConference on Electrical Engineering, volume 2, pages 970–974, Beijing (China), 12.-15. August 1996. Int.Acad. Publishers, Beijing (China). †CCA16405/98 ga96aKermanshahi.

[417] Lily H. Shu, David R. Wallace, and Woodie C. Flowers. Probabilistic methods in life-cycle design. InProceedings of the 1996 IEEE International Symposium on Electronics and the Environment, pages 7–12,Dallas, TX, 6.-8. May 1996. IEEE, Piscataway, NJ. †EI M148719/96 ga96aLHShu.

[418] Brian Mayoh. Artificial life and pollution control: Explorations of a genetic algorithm system on the highlyparallel Connection Machine. In ?, editor, ?, volume 1181 of Lecture Notes in Computer Science, pages68–79, ?, ? 1996. Springer Verlag, Berlin. ga96aMayoh.

[419] Naoki Mori, Hajime Kita, and Yoshikazu Nishikawa. Adaption to a changing environment by means ofthe thermodynamical genetic algorithm. In Voigt et al. [1642], pages 513–522. ga96aMori.

[420] K. S. Swarup, M. Yoshimi, S. Shimano, and Y. Izui. Genetic algorithm approach to environmental con-strained optimal economic dispatch. Eng. Intell. Syst. Electr. Eng. Commun. (UK), 4(1):11–23, 1996.†EEA70654/96 ga96aSwarup.

[421] S. DiGregorio, R. Serra, and M. Villani. Environmental applications of genetic algorithms. In Proceedings ofthe Advances in Intelligent Systems, pages 310–315, Reggio Calabria, Italy, ? 1997. IOS Press, Amsterdam.†CCA11143/98 ga97aDiGregor.

[422] H. W. Chen and Ni-Bin Chang. Water-pollution control in the river basin by fuzzy genetic algorithm-based multiobjective programming modeling. Water Science and Technology, 37(8):55–65, 1997. †P80743ga97aHWChen.


[423] Jean-Philippe Nicot, Deane C. McKinney, and Gary A. Pope. Inverse modeling of field tracer data tocharacterize DNAPL contamination. In Proceedings of the 1997 24th Annual Water Resources Planningand Management Conference, pages 420–425, Houston, TX, 6.-9. April 1997. ASCE, New York, NY. †EIM097613/97 ga97aNicot.

[424] Q. J. Wang. Using genetic algorithms to optimise model parameters. Environ. Model. Softw. (UK),12(1):27–34, 1997. †CCA106541/97 ga97aQJWang.

[425] Dipti Srinivasan and Andrea G. B. Tettamanzi. An evolutionary algorithm for evaluation of emissioncompliance options in view of the Clean Air Act Amendments. IEEE Transactions on Power Systems,12(1):336–341, February 1997. (Proceedings of the 1996 IEEE/PES Winter Meeting, Jan. 21.-25. 1996,Baltimore, MD) ga97aSrinivasan.

[426] Toshihiko Takeuchi, Yusuke Yazu, and Akiyuki Sakuma. Integrated environmental management processapplying genetic algorithm. In Proceedings of the 14th International Conference on Production Research,volume 2, pages 944–947, Osaka, Japan, 4.-8. August 1997. Osaka Institute of Technology & SetsunanUniversity. † ga97aTakeuchi.

[427] H. W. Chen and Ni-Bin Chang. Water pollution control in the river basin by fuzzy genetic algorithm-based multiobjective programming modeling. Water Sci. Technol., 37(8):55–63, ? 1998. †ChA 113085g/98ga98aHWChen.

[428] M. Haupt. Evolutionary optimization of plastics processing and environmental engineering. In Proceedingsof the Computational Intelligence: Industrial Application on Neural Networks, Evolutionary Algorithmsand Fuzzy Control, volume 1381, pages 155–180, Berlin (Germany), 3.-4. March 1998. Verlag GMBH,Dusseldorf. †P80878 ga98aMHaupt.

[429] Ann E. Mulligan and Linfield C. Brown. Genetic algorithms for calibrating water quality models. J.Environ. Eng. (Reston, Va.), 124(3):202–211, 1998. †ChA128:171782x ga98aMulligan.

[430] T. Takeuchi, Y. Yazu, and A. Sakuma. Integrated environmental management process applying geneticalgorithm. Int. J. Prod. Econ. (Netherlands), 60-61:229–234, 1999. †CCA59780/99 ga99aTTakeuchi.

[431] Petri Vasara. Environmental benchmarking: A framework for environmental assessment. PhD thesis,Helsinki University of Technology, 1999. * TKKpaa ga99aVasara.

[432] W. Liles and K. De Jong. The usefulness of tag bits in changing environments. In Proceedings of the 1999Congress on Evolutionary Computation-CEC99, volume 3, pages 2054–2060, Washington, DC, 6.-9. July1999. IEEE, Piscataway, NJ. †CCA77260/99 ga99aWLiles.

[433] Ari S. Nissinen, Heikki Hyotyniemi, and Heikki N. Koivo. Classification of radiation spectra using map oflinear classifiers. In ?, editor, Proceedings of the International Conference on Computational Intelligencefor Modelling Control and Automation, volume ?, pages 128–133, Vienna (Austria), 17.-19. February 1999.IOS Press BV, Netherlands. ga99dAriNissinen.

[434] Frantisek Vavak, Terence C. Fogarty, and Ken Jukes. A genetic algorithm with variable range of localsearch for tracking changing environments. In Voigt et al. [1642], pages 376–385. ga9baVavak.

[435] Hugh M. Cartwright and Stephen P. Harris. The application of genetic algorithm to two-dimensionalstrings: The source appointment problem. In Forrest [1637], page 631. ga:Cartwright93a.

[436] Barry K. Lavine, J. Ritter, Anthony J. Moores, M. Wilson, Abdullah Faruque, and Howard T. May-field. Source identification of underground fuel spills by solid-phase microextraction/high-resolution gaschromatography/genetic algorithms. Anal. Chem., 72(2):423–431, 15. January 2000. * PubMed10658340ga00aGKLavine.

[437] J. Bryan Smalley, Barbara S. Minsker, and David E. Goldberg. Risk-based in situ bioremediation designusing a noisy genetic algorithm. Water Resources Research, 36(10):3043–3052, November 2000. †NASAADS ga00aJBSmalley.

[438] Barry K. Lavine, D. Brzozowski, Anthony J. Moores, C. E. Davidson, and Howard T. Mayfield. Ge-netic algorithm for fuel spill identification. Analytica Chimica Acta, 437(2):233–246, 27. June 2001.ga01aBarryKLavine.

[439] Ingrid M. Schleiter, M. Obach, D. Borchardt, and H. Werner. Bioindication of chemical and hydromorpho-logical habitat characteristics with benthic macro-invertebrates based on artificial neura networks. AquaticEcology, 35(2):147–158, June 2001. ga01aIMSchleiter.

[440] C. Zheng and P. P. Wang. Remediation system design optimization: field demonstration at the UmatillaArmy Deport. In ?, editor, American Geophysical Union, Spring Meeting 2002, volume ?, page ?, Wash-ington, DC, 28.-31. May 2002. American Geophysical Union. †NASA ADS ga02aCZheng.

Bibliography 97

[441] Mark Erickson, Alex Mayer, and Jeffrey Horn. Multi-objective optimal design of groundwater remediationsystems: application of the niched Pareto genetic algorithm (NPGA). Advances in Water Resources,25(1):51–65, January 2002. †www /Elsevier ga02aMErickson.

[442] Harri Niska, Teri Hiltunen, Ari Karppinen, Juhani Ruuskanen, and Mikko Kolehmainen. Evolving theneural network model for forecasting air pollution time series. Engineering Applications of Artificial Intel-ligence, 17(?):159–167, ? 2004. ga04aHarriNiska.

[443] Harri Niska, Minna Rantamaki, Teri Hiltunen, Ari Karppinen, Jaakko Kukkonen, Juhani Ruuskanen, andMikko Kolehmainen. Evaluation of an integrated modelling system containing a multi-layer perceptronmodel and the numerical weather prediction model HIRLAM for the forecasting of urban airborne pollutantconcentrations. Atmospheric Environment, 39(?):6524–6536, ? 2005. ga05aHarriNiska.

[444] Deane C. McKinney, Gregory B. Gates, and Min-Der Lin. Aquifer remediation design: nonlinear program-ming and genetic algorithms. In ?, editor, Proceedings of the 21st Annual Conference on Water Policyand Management, pages 254–257, Denver, CO, 23.-26. May 1994. ASCE, New York. * EI M117155/95ga94aMcKinney.

[445] N. B. Chang and H. W. Chen. The application of fuzzy interval genetic algorithm for waterpollution controlin the river basin. In Proceedings of the First International Conference on Operations and QuantitativeManagement, volume 1-2, pages 653–660, Jaipur, India, 5.-8. January 1997. Indiana University Northwest,Division Business & Economics. †P82171 ga97aNBChang.

[446] P. A. D. Junior. Air-pollution monitoring using genetic algorithm, fuzzy-logic and neural networks. InProceedings of the Management and Control of Production and Logistics, volume 1-2, pages 617–620,Cambinas, Brazil, 31. aug- 3. sep ? 1997. Elsevier Science Publ B V, Amsterdam. †P82958 ga97aPAJunior.

[447] Peter J. Angeline and Jordan B. Pollack. Coevolving high-level representations. In C. G. Langton, C. Tay-lor, J. Doyne Farmer, and S. Rasmussen, editors, Artificial Life III, volume XVII of SFI Studies in theScience of Complexity, page ?, Santa Fe, NM, 15.-19. June 1991. Addison-Wesley, Redwood City, CA.†Langdon ga:Angeline91a.

[448] Richard K. Belew. Evolution, learning, and culture: Computational metaphors for adaptive algorithms.Complex Systems, 4(1):11–49, February 1990. ga:Belew90a.

[449] Andreas Schober, Marcel Thuerk, and Manfred Eigen. Optimization by hierarchical mutant production.Biological Cybernetics, 69(5-6):493–501, ? 1993. ga:Eigen93a.

[450] Lawrence Bull and Terence C. Fogarty. Co-evolving communicating classifier systems for tracking. InAlbrecht et al. [1645], pages 522–527. ga:Fogarty93a.

[451] R. Galar. Simulation of local evolutionary dynamics of small populations. Biological Cybernetics, 65(1):37–45, 1991. ga:Galar91.

[452] Geoffrey F. Miller and Peter M. Todd. Evolutionary wanderlust: Sexual selection with directional matepreferences. In H. Roitblat, Jean-Arcady Meyer, and Stewart W. Wilson, editors, From Animals to An-imats, Proceedings of the Second International Conference on Simulation of Adaptive Behavior (SAB92),pages 21–30, Honolulu, HI, 7.-11. December 1993. The MIT Press, Cambridge, MA. ga:GFMiller93a.

[453] Paul Bryant Grosso. Computer simulation of genetic adaptation: Parallel subcomponent interaction in amultilocus model. PhD thesis, University of Michigan, 1985. (University Microfilms No. 8520908) * DAI46/7 ga:GrossoThesis.

[454] Martijn A Huynen and Paulien Hogeweg. Genetic algorithms and information accumulation during theevolution of gene regulation. In J. David Schaffer, editor, Proceedings of the Third International Confer-ence on Genetic Algorithms, pages 225–230, Georg Mason University, 4.-7. June 1989. Morgan KaufmannPublishers, Inc. ga:Huynen89.

[455] Takashi Ikegami and Kunihiko Kareko. Computer symbiosis – emergence of symbiotic behavior throughevolution. 1990. † ga:Ikegami90b.

[456] David R. Jefferson, Robert James Collins, Claus Cooper, Michael G. Dyer, Margot Flowers, Richard Korf,Charles Taylor, and Alan Wang. Evolution as a thema in artificial life: The genesys/tracker system.Technical Report UCLA-AI-90-09, University of California, Los Angeles, Department of Computer Science,Artificial Intelligence Laboratory, Los Angeles, California 90024, November 1990. ga:Jefferson90.

[457] David R. Jefferson, Robert James Collins, Claus Cooper, Michael G. Dyer, Margot Flowers, Richard Korf,Charles Taylor, and Alan Wang. Evolution as a thema in artificial life: The genesys/tracker system.In Langton et al. [1654], pages 549–578. ga:Jefferson92.


[458] J. Reed, R. Toombs, and N. A. Barricelli. Simulation of biological evolution and machine learning. Journalof Theoretical Biology, 17(?):319–342, 1967. † ga:JReed67.

[459] Stuart A. Kauffman. The Origins of Order, Self-Organization and Selection in Evolution. Oxford UniversityPress, New York, 1993. ga:Kauffman93book.

[460] John R. Koza. Evolution and coevolution of computer programs to control independently-acting agents.In Jean-Arcady Meyer and Stewart W. Wilson, editors, Proceedings of the First International Conferenceon Simulation of Adaptive Behavior: From animals to animats, pages 366–375, Paris, 24.-28. September1990. A Bradford Book, MIT Press, Cambridge, MA. ga:Koza90d.

[461] John R. Koza and James P. Rice. Non-linear genetic process for use with co-evolving populations, 1990.(U.S. Patent application filed Sep. 18 1990) †[1644] ga:Koza90k.

[462] John R. Koza and James P. Rice. Non-linear genetic process for use with plural co-evolving populations,1990. (U. S. Patent 5,148,513. Filed Sep. 18 1990. Issued Sep. 15 1992) † ga:Koza90l.

[463] John R. Koza. Genetic evolution and co-evolution of computer programs. In Langton et al. [1654], pages603–629. ga:Koza91d.

[464] Witold Kwasnicki and Halina Kwasnicka. Market, innovation, competition. an evolutionary model of indus-trial dynamics. Journal of Economic Behaviour and Organization, 19(3):343–368, 1992. ga:Kwasnicki92.

[465] Philip Husbands and Frank Mill. Simulated co-evolution as the mechanism for emergent planning andscheduling. In Belew and Booker [1655], pages 264–270. ga:Mill91.

[466] Peter J. Angeline and Jordan B. Pollack. Competitive environments evolve better solutions for complextasks. In Forrest [1637], pages 264–270. ga:Pollack93a.

[467] Peter J. Angeline and Jordan B. Pollack. Coevolving high-level representations. Technical Report 92-PA-COEVOLVE, Ohio State University, Laboratory for Artificial Intelligence, 1993. †Koza ga:Pollack93b.

[468] Ingo Rechenberg. Artificial evolution and artificial intelligence. In Richard S. Forsyth, editor, Ma-chine Learning: Principles and Techniques, pages 83–103. Chapman and Hall, London, 1989. †[1656]ga:Rechenberg89a.

[469] Robert James Collins and David R. Jefferson. Antfarm: Towards simulated evolution. In Langton et al.[1654], pages 579–601. ga:RJCollins92.

[470] Hans-Paul Schwefel. Understanding evolution as a collective strategy for groping in the dark. Number 565in Lecture Notes in Artificial Intelligence, pages 388–397. Springer-Verlag, Berlin, Neubiberg (Germany)and Wildbad Kreuth (Germany), 10.-11. March and 24.-28. July 1989 1991. ga:Schwefel91b.

[471] Jarmo T. Alander. Laskennallinen evoluutio, geneettiset algoritmit ja keinoelama [Computational evolu-tion, genetic algorithms, and artificial life]. In Seppo Linnaluoto and Jouko Seppanen, editors, SETI- Search for Extraterrestrial Intelligence, An International Interdisciplinary Seminar, pages 164–171,Heureka, Vantaa, Finland, 6.-7. March 1993. Finnish Artificial Intelligence Society. (in Finnish) GA:SETI93.

[472] A. Berlanga, P. Isasi, A. Sanchis, and J. M. Molina. Uniform coevolution for solving the density classifi-cation problem in cellular automata. page 383, 2000. ga00aABerlanga.

[473] A. El. Imrani, A. Bouroumi, M. Limouri, and A. Essaı. A coevolutionary genetic algorithm using fuzzy clus-tering. Intelligent Data Analysis, 4(3-4):183–193, ? 2000. * http://iospress.metapress.com ga00aAEImrani.

[474] C. J. Veenman, M. J. T. Reinders, and E. Backer. Competitive segmentation: A struggle for image space.In Marc Schoenauer, Kalyanmoy Deb, Gunter Rudolph, Xin Yao, Evelyne Lutton, Juan Julian Merelo, andHans-Paul Schwefel, editors, Parallel Problem Solving from Nature – PPSN VI, 6th International Confer-ence, volume 1917 of Lecture Notes in Computer Science, pages 517–526, Paris (France), 18.-20. September2000. Springer-Verlag. ga00aCJVeenman.

[475] Elpida S. Tzafestas. Spatial games with adaptive tit-for-tats. In Marc Schoenauer, Kalyanmoy Deb, GunterRudolph, Xin Yao, Evelyne Lutton, Juan Julian Merelo, and Hans-Paul Schwefel, editors, Parallel ProblemSolving from Nature – PPSN VI, 6th International Conference, volume 1917 of Lecture Notes in ComputerScience, pages 507–516, Paris (France), 18.-20. September 2000. Springer-Verlag. ga00aESTzafestas.

[476] Jegyom Kim and Min-Jea Tahk. A co-evolution computation for constrained min-max problems. In ?,editor, Proceedings of the 38th Aircraft Symposium, pages 641–644, Taejon (South Korea), 11.-13. October2000. Japan Society for Aeronautical and Space Sciences. * A01-11153 ga00aJegyomKim.

[477] Mitchell A. Potter and Kenneth A. De Jong. Cooperative coevolution: An architecture for evolvingcoadapted subcomponents. Evolutionary Computation, 8(1):1–29, ? 2000. ga00aMAPotter.

Bibliography 99

[478] Masao Kubo, Hiroshi Satoh, Yuichiro Inoue, Kimitaka Uno, and Akira Namatame. The number of peoplewith whom a man interacts. In Marc Schoenauer, Kalyanmoy Deb, Gunter Rudolph, Xin Yao, EvelyneLutton, Juan Julian Merelo, and Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature –PPSN VI, 6th International Conference, volume 1917 of Lecture Notes in Computer Science, pages 477–486, Paris (France), 18.-20. September 2000. Springer-Verlag. ga00aMasaoKubo.

[479] Masatoshi Sakawa and Katsuhiro Yauchi. Interactive decision making for multiobjective nonconvex pro-gramming problems with fuzzy numbers through coevolutionary genetic algorithms. Fuzzy Sets and Sys-tems, 114(?):151–165, ? 2000. ga00aMasatoshiSakawa.

[480] M. M. Ali and Aimo Torn. Optimization of carbon and silicon cluster geometry for Tersoff potential usingdifferential evolution. In C. A. Floudas and P. M. Pardalos, editors, Optimization in Computational Chem-istry and Molecular Biology, pages 287–300. Kluwer Academic Publishers, Dordrecht, 2000. †MathRev2000k:92010 ga00aMMAli.

[481] Paul den Dulk and Martijn Brinkers. Evolution of altruism in viscous populations: effects of altruismon the evolution of migrating behavior. In Marc Schoenauer, Kalyanmoy Deb, Gunter Rudolph, XinYao, Evelyne Lutton, Juan Julian Merelo, and Hans-Paul Schwefel, editors, Parallel Problem Solving fromNature – PPSN VI, 6th International Conference, volume 1917 of Lecture Notes in Computer Science,pages 457–466, Paris (France), 18.-20. September 2000. Springer-Verlag. ga00aPDulk.

[482] R. E. Smith, B. A. Dike, R. K. Mehra, B. Ravichandran, and A. El-Fallah. Classifier systems in combat:two-sided learning of maneuvers for advanced fighter aircraft. Computer Methods in Applied Mechanicsand Engineering, 186(2-4):421–437, 9. June 2000. ga00aRESmith.

[483] Stefan Boettcher, Allon G. Percus, and Michelangelo Grigni. Optimizing through co-evolutionaryavalances. In Marc Schoenauer, Kalyanmoy Deb, Gunter Rudolph, Xin Yao, Evelyne Lutton, Juan JulianMerelo, and Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature – PPSN VI, 6th Inter-national Conference, volume 1917 of Lecture Notes in Computer Science, pages 447–456, Paris (France),18.-20. September 2000. Springer-Verlag. ga00aSBoettcher.

[484] T. Rogalsky, R. W. Derksen, and S. Kocabiyik. Differential evolution in aerodynamic optimization. Cana-dian Aeronautics and Space Journal, 46(4):183–190, December 2000. * A01-17378 ga00aTRogalsky.

[485] Richard A. Watson, Torsten Reil, and Jordan B. Pollack. Mutualism, parasitism, and evolutionary adap-tation. In M. Bedau, J. McCaskill, N. Packard, and S. Rasmussen, editors, Proceedings of Artificial LifeVII, page ?, ?, ? 2000. ? ga00bRAWatson.

[486] Bjorn Olsson. Co-evolutionary search in asymmetric spaces. Information Sciences, 133(?):103–125, ? 2001.* TKKpaa ga01aBOlsson.

[487] Christopher MacLeod and Grant M. Maxwell. Incremental evolution in ANNs: Neural nets which grow.Artificial Intelligence Review, 16(3):201–224, November 2001. ga01aCMacLeod.

[488] Francisco Herrera and Manuel Lozano. Adaptive genetic operators based on coevolution with fuzzy be-haviors. IEEE Transactions on Evolutionary Computation, 5(2):149–165, April 2001. ga01aFHerrera.

[489] F. Kojima and N. Kubota. Electromagnetic inverse analysis using coevolutionary algorithm and its ap-plication to crack profiles identification. In Matousek Radek and Osmera Pavel, editors, 7th InternationalConference on Soft Computing, Mendel 2001, pages 75–80, Brno, Czech Republic, 6.- 8.June 2001. BrnoUniversity of Technology. ga01aFKojima.

[490] K. A. Michalski. Electromagnetic imaging of elliptical-cylindrical conductors and tunnels using a differentialevolution algorithm. Microwave and Optical Technology Letters, 28(3):164–169, 5. February 2001. *INSPEC6856868 ga01aKAMichalski.

[491] Keiji Suzuki and Azuma Ohuchi. Combining the filtered evaluation function with coevolutionary sharedniching in genetic algorithms. International Transactions in Operational Research, 8(3):269–284, May2001. ga01aKeijiSuzuki.

[492] Martin Lehmann and Markus Wyss. Engineering proteins for thermostability: the use of sequence align-ments versus rational design and directed evolution. Current Opinion in Biotechnology, 12(4):371–375,August 2001. ga01aMartinLehmann.

[493] Masakado Kawata. The influence of neighborhood size and habitat shape on the accumulation of deleteriousmutations. Journal of Theoretical Biology, 211(3):187–199, 7. August 2001. ga01aMasakadoKawata.

[494] Masatoshi Sakawa and Katsuhiro Yauchi. An interactive fuzzy satisficing method for multiobjec-tive nonconvex programming problems with fuzzy numbers through coevolutionary genetic algorithms.IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, 31(3):459–467, June 2001.ga01aMSakawa.


[495] Panos Liatsis and John Y. Goulermas. Depth estimation via parallel coevolution of disparity functions forarea-based stereo. In Hyung S. Cho and George K. Knopf, editors, Optomechatronic Systems, volume SPIE-4190, pages 169–180, ?, February 2001. The International Society for Optical Engineering. * www/SPIEWeb ga01aPLiatsis.

[496] Q.-F. Chen, X.-B. Li, and J.-H. Dai. Cooperative coevolutionary multidisciplinary design optimizationof missile systems. Journal of National University of Defence Technology, 23(5):9–12, October 2001. (inChinese) * A02-30604 ga01aQ-FChen.

[497] Nirupam Chakraborti, K. Misra, P. Bhatt, N. Barman, and R. Prasad. Tight-binding calculations of Si-Hclusters using genetic algorithms and related techniques: Studies using differential evolution. Journal ofPhase Equilibria, 22(5):525–530, October 2001. ga01bNChakraborti.

[498] B. D. Hutt. Innate Intelligence for Artificial Organisms: via Species Evolution of Neural Networks. PhDthesis, University of Reading, 2002. †refereed paper ga02aDBHutt.

[499] Dong Hyun Baek and Wan Chul Yoon. Co-evolutionary genetic algorithm for multi-machine scheduling:coping with high performance variability. International Journal of Production Research, 40(1):239–254,January 2002. ga02aDHBaek.

[500] Julian F. Miller and Keith Downing. Evolution in matero: Looking beyond the silicon box. In Proceedingsof the 2002 NASA/DOD Conference on Evolvable Hardware (EH’02), page ?, ?, ? 2002. IEEE, Piscataway,NJ. ga02aJFMiller.

[501] J. Ryoo and Prabhat Hajela. Genetic exchange mechanisms for co-evolution in decomposition-based de-sign. In 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference,Denver, CO, 22.-25. April 2002. AIAA. AIAA Paper 2003-1674 * A02-28458 ga02aJRyoo.

[502] Junhong Liu and Jouni Lampinen. A fuzzy adaptive differential evolution algorithm. In Proceedings ofIEEE TENCON’02, volume ?, pages 606–611, Beijing (China), 28.-31. October 2002. IEEE, Piscataway,NJ. ga02aJunhongLiu.

[503] Shotaro Kamio and Hitoshi Iba. A co-evolutionary approach to parallel distributed genetic programming.pages 23–28, 2002. ga02aShotaroKamio.

[504] Timo Mantere and Jarmo T. Alander. Developing and testing structural light vision software by co-evolutionary genetic algorithm. In The Proceedings of the Second ASERC Workshop on Quantitative andSoft Computing based Software Engineering, pages 31–37, Banff (Canada), 18.-20. February 2002. AlbertaSoftware Engineering Research Consortium (ASERC). ga02aTimoMantere.

[505] Teppo Tossavainen. System Usability of Complex Technical Systems. PhD thesis, Helsinki Uni-versity of Technology, Department of Industrial Engineering and Management, 2002. * TKKpaaga02aTTossavainen.

[506] Franciszek Seredynski and Albert Y. Zomaya. Coevolution and evolving parallel cellular automata-basedscheduling algorithms. In P. Collet, C. Fonlupt, J.-K. Hao, E. Lutton, and Marc Schoenauer, editors,Artificial Evolution, 5th International Conference, Evolution Artificielle, EA 2001, volume LNCS of 2310,pages 362–375, Le Creusot (France), 29.-31. October 2002. Springer-Verlag Berlin Heidelberg. * www/Springer ga02bFSeredynski.

[507] Qifeng Chen and Jinhai Dai. Distributed coevolutionary multidisciplinary design optimization - a flexibleapproach. In 9th AIAA/ISSMO Symposium and Exhibit on Multidisciplinary Analysis and Optimization,Atlanta, GA, 4.-6. September 2002. AIAA. AIAA Paper 2002-5582 * A02-41030 ga02bQifengChen.

[508] Jarmo Ilonen, Joni-Kristian Kamarainen, and Jouni Lampinen. Differential evolution training algorithmfor feed-forward neural networks. Neural Processing Letters, 17(1):93–105, ? 2003. ga03aJIlonen.

[509] Timo Mantere and Jarmo T. Alander. Testing digital halftoning filters by generating test images andfilters coevolutionarily. In David P. Casasent and Ernest L. Hall, editors, Intelligent Robots and ComputerVision XXI: Algorithms, Techniques, and Active Vision, volume SPIE-5267, pages 257–268, Providence,Rhode Island, 28. -29. October 2003. The International Society for Optical Engineering, Bellingham, WA.ga03dMantere.

[510] Timo Mantere. Generating test images and halftoning filters with co-evolutionary GA. In Nikos Mastorakis,Meng Joo Er, and B. V. Dasarathy abd Qingguo Pu, editors, Proceedings of the 2nd International Con-ference on Electronics, Control & Signal Processing and E-Activities, page ?, Singapore, 7. -9. December2003. World Scientific and Engineering Academy and Society. ga03eMantere.

[511] Carlos Andres Pena-Reyes. Evolutionary fuzzy modeling human diagnostic decisions. Annals of the NewYork Academy of Sciences, 1020(?):190–211, ? 2004. †www /ISI ga04aCAPena-Reyes.

Bibliography 101

[512] Hassiba Talbi and Mohamed Batouche. Hybrid particle swarm with differential evolution for multimodalimage registration. In Proceedings of the 2004 IEEE International Conference on Industrial Technology(ICIT), pages 1567–1572. IEEE, Piscataway, NJ, 2004. ga04aHassibaTalbi⇒ http://ieeexplore.ieee.

org/stamp/stamp.jsp?tp=&arnumber=1490800.

[513] J. Schonberger, D. C. Mattfeld, and H. Kopfer. Memetic algorithm timetabling for non-commercial sportleagues. European Journal of Operational Research, 153(1):102–116, 16. February 2004. * www /SceinceDi-rect ga04aJSchonberger.

[514] M. Roberts and Ela Claridge. Cooperative coevolution of image feature construction and object detection.In X. Yao etal, editor, Parallel Problem Solving from Nature (PPSN VIII), volume 3242 of Lecture Notes inComputer Science, pages 899–908, ?, ? 2004. Springer-Verlag, Heidelberg. †www /Claridge ga04aMRobers.

[515] Carlos Andres Pena-Reyes. Coevolutionary fuzzy modeling. In Coevolutionary fuzzy modeling, volume 3204of Lecture Notes in Computer Science. Springer-Verlag, Heidelberg, 2004. †www /ISI ga04bCAPena-Reyes.

[516] M. Roberts and Ela Claridge. Learning feature extraction and classification simultaneously by means ofco-evolutionary genetic programming. In ?, editor, BMVA Symposium on Pattern Recognition in Ma-chine Learning in Machine Vision, volume ?, page ?, London (UK), January 2005. ? †www /Claridgega05aMRoberts.

[517] Leandro dos Santos Coelho and Viviana Cocco Mariani. Evolucao diferencial hıbrida com programacaoquadratica aplicada ao problema de despacho economico de energia eletrica [differential evolution andquadratic programming hybrid applied to the economic dispatch problem]. Revista Conntrole & Au-tomacao, 17(4):409–423, October/December 2006. ga06aLdosSantosCoelho.

[518] Wolfgang Banzhaf, Guillaume Beslon, Steffen Christensen, James A. Foster, Francois Kepes, VirginieLefort, Julian F. Miller, Miroslav Radman, and Jeremy J. Ramsden. From artificial evolution to com-putational evolution: a research agenda. Nature Reviews, Genetics, 7(?):729–735, September 2006.ga06aWBanzhaf ⇒ http://www.epigenomique.genopole.fr/∼kepes/publications.html.

[519] Ying Li, Guizhi Xu, Lei Guo, Lei Wang, Shuo Yang, Liyun Rao, Renjie He, and Weili Yan. Resistivityparameters estimation based on 2D real head model using improved differential evolution algorithm. InProceedings of the 28th IEEE Annual International Conference EBMS, page ?, New York, NY, 30. August-3. September 2006. IEEE, Piscataway, NJ. ga06aYingLi.

[520] N. Chakraborti, R. Jayakanth, S. Das, E. D. Calisir, and S. Erkoc. Evolutionary and genetic algorithmsapplied to Li+-C system: Calculations using differential evolution and particle swarm algorithm. Journal ofPhase Equilibria and Diffusion, 28(2):140–149, ? 2007. ga07aNChakraborti⇒ http://www.springerlink.

com/content/tq7q684715283g26/.

[521] Timo Mantere. A min-max DE/GA hybrid for constrained problems. In The 4th International Con-ference of on NEXT2007, pages 188–191, Seoul (Korea), 25.-27. October 2007. Korea Electronic Forum.ga07aTimoMantere.

[522] Abdesslem Layeb and Djamel-Eddine Saidouni. Quantum differential evolution algorithms based on hillclimbing for solving BDD ordering problem. In B. Iantovics, C. Enachescu, and F. Filip, editors, Proceedingsof the Complexity in Artificial and Natural Systems, pages 207–210, Mures (Romania), 8.-10. November2008. Editura Universitatii Petru Maior Targu-Mures, Str n Lorga NR 1, Tg Mures, 540088, Romania.†ISI ga08aAbdesslemLayeb ⇒ .

[523] I. De Falco, A. Della Cioppa, D. Maisto, and E. Tarantino. Differential evolution as a viable tool for satelliteimage registration. Applied Soft Computing, 8(4):1453–1462, September 2008. †Google ga08aIDeFalco.

[524] Gerard Briscoe, Suzanne Sadedin, and Philippe De Wilde. Digital ecosystems: Ecosystem-oriented ar-chitechtures. Natural Computing, 10(3):1143–1194, September 2011. ga11aGerardBriscoe ⇒ http:

//www.springerlink.com/content/y2u24627t20755l0/.

[525] Giovanni Iacca, R. Mallipeddi, Ernesto Mininno, Ferrante Neri, and P. N. Suganthan. Super-fit andpopulation size reduction in compact differential evolution. In Proceedings of the 2011 IEEE Workshop onMemetic Computing (MC), pages 1–8. IEEE, Piscataway, NJ, 11.-15. April 2011. ga11aGIacca ⇒ .

[526] Jukka Keskitalo and Kauko Leiviska. Application of evolutionary optimisers in data-based calibra-tion of activated sludge models. Expert Systems with Applications, 39(7):6609–6617, June 2012. †ISIga12aJukkaKeskitalo ⇒ .

[527] Giovanni Iacca, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, and Meng-Hiot Lim. Ockham’s Razor inmemetic computing: Three stage optimal memetic exploration. Information Sciences, 188(?):17–43, April2012. †ISI ga12bGiovanniIacca ⇒ .

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1490800


http://www.epigenomique.genopole.fr/~kepes/publications.html

http://www.springerlink.com/content/tq7q684715283g26/

http://www.springerlink.com/content/tq7q684715283g26/

http://www.springerlink.com/content/y2u24627t20755l0/

http://www.springerlink.com/content/y2u24627t20755l0/


[528] Giovanni Iacca, Ferrante Neri, and Ernesto Mininno. Noise analysis compact differential evolution. Inter-national Journal of Systems Science, 43(7):1248–1267, ? 2012. †ISI ga12cGiovanniIacca ⇒ .

[529] Simon Da Ros, Gabriel Colusso, Thiago A. Weschenfelder, Lisiane de Marsillac Terra, Fernanda de Castil-hos, Marcos L. Corazza, and Marcio Schwaab. A comparison among stochastic optimization algorithmsfor parameter estimation of biochemical kinetic models. Applied Soft Computing, 13(5):2205–2214, May2013. ga13aSimoniDaRos ⇒ http://www.sciencedirect.com/science/journal/15684946/13/5.

[530] Valentın Osuna-Enciso. A comparison of nature inspired al gorithms for multi-threshold image segmen-tation. Expert Systems with Applications, 40(4):1213–1219, March 2013. ga13aValentinOsuna-Enciso ⇒http://dl.acm.org/citation.cfm?id=2400939.

[531] J. Wirt Atmar. Notes on the simulation of evolution. IEEE Transactions on Neural Networks, 5(1):130–148,January 1994. †toc ga94aAtmar.

[532] Murray Gell-Mann. The Quark and the Jaguar. W. H. Freeman and Company, New York, 1994.ga94aGell-Mann.

[533] Takashi Ikegami. From genetic evolution to emergence of game strategies. Physica D, 75(1-3):310–327,1. August 1994. (Oji International Seminar on Complex Systems – from Complex Dynamical Systems toSciences of Artificial Reality, Numazu, Japan, 5.-8. April 1993) * CCA 75266/94 ga94aIkegami.

[534] B. Nassersharif, D. Ence, and M. Au. Visualization of evolution of genetic algorithms. In Proceedingsof the World Gongress on Neural Networks – San Diego, volume 1, pages A560–A565, San Diego, CA,5.-9. June 1994. Lawrence Erlbaum, Hillsdale, NJ. †P63737/95 ga94aNassersharif.

[535] P. P. B. de Oliveira. Simulation of exaptive behaviour. In Davidor et al. [1657], pages 354–364. * CCA37575/95 ga94aOliveira.

[536] T. S. Ray. Evolution, complexity, entropy and artificial reality. Physica D, 75(1-3):239–263, 1. August1994. (Oji International Seminar on Complex Systems – from Complex Dynamical Systems to Sciences ofArtificial Reality, Numazu, Japan, 5.-8. April 1993) * CCA 77106/94 ga94aRay.

[537] Hugues Juille. Co-evolution of non-deterministic incremental algorithms as a new approach for search instate spaces. In Eshelman [1658], page ? †prog ga95aJuille.

[538] Hugues Juille. Incremental co-evolution of organisms: a new approach for optimization and discovery ofstrategies. In Proceedings of the Third European Conference on Artificial Life, pages 246–260, Granada(Spain), 4.-6. June 1995. Springer-Verlag, Berlin (Germany). †CCA78906/95 ga95bJuille.

[539] Murray Gell-Mann. Kvarkki ja jaguaari, pages 370–373. Werner Soderstrom Osakeyhtio, Juva (Finland),1996. (translation of [532]; in Finnish) ga96aGell-Mann.

[540] Jan Paredis. Coevolutionary life-time learning. In Voigt et al. [1642], pages 72–80. ga96aParedis.

[541] R. E. Smith and H. Brown Cribbs III. Cooperative versus competitive system elements in coevolutionarysystems. In Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, pages497–505, North Falmouth, MA (USA), 9.-13. September 1996. MIT Press, Cambridge, MA. †CCA43125/98ga96aRESmith.

[542] P. Schuster. How does complexity arise in evolution. Complexity (USA), 2(1):22–30, 1996. †CCA95577/96ga96aSchuster.

[543] Rainer Storn. On the usage of differential evolution for function optimization. In Proceedings of the1996 Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS), pages519–523, Berkeley, CA, 19.-22. June 1996. IEEE, New York, NY. * CCA 80164/96 ga96aStorn.

[544] Q. Zhao. Co-evolutionary algorithm: a new approach to evolutionary learning. In Proceedings of the 4thInternational Conference on Soft Computing, volume 2, pages 529–532, Fukuoka, Japan, 30. sep- 5. oct ?1996. World Scientific, Singapore. †CCA53831/97 ga96bQZhao.

[545] Mary Lou Maher and Josiah Poon. Modeling design exploration as co-evolution. Microcomput. Civ. Eng.(USA), 11(3):195–209, 1996. †CCA59988/96 ga96cMLMaher.

[546] A. H. Jones, N. Ajlouni, S. B. Kenway, and P. B. De Moura Oliveira. Genetic design of robust PIDcontrollers to deal with prescribed plant uncertainties through a process of competitive co-evolution. InProceedings of the 1996 IEEE International Symposium on Intelligent Control, pages 372–377, Dearnborn,MI, 15.-18. September 1996. IEEE, New York. ga96eAHJones.

[547] Jan Paredis. Coevolutionary process control. In George D. Smith and Nigel C. Steele, editors, Proceedingsof the International Conference on Artificial Neural Networks and Genetic Algorithms, pages 579–582,Norwich, UK, 2.-4. April 1997. Springer-Verlag, Berlin. † ga97aJParedis.

http://www.sciencedirect.com/science/journal/15684946/13/5

http://dl.acm.org/citation.cfm?id=2400939

Bibliography 103

[548] P. B. De Moura Oliveira and A. H. Jones. Robust co-evolutionary design of SISO Smith predictor PIDcontrollers. In Proceedings of the Second International Conference on Genetic Algorithms in EngineeringSystems: Innovations and Applications, pages 504–509, Glasgow (UK), 2.-4. September 1997. IEE, London(UK). †CCA1786/98 ga97aMouraOliveira.

[549] Qiangfu Zhao. A co-evolutionary algorithm for neural network learning. In Proceedings of the 1997 IEEEInternational Conference on Neural Networks, volume 1, pages 432–437, Houston, TX, 9.-12. June 1997.IEEE, New York, NY. †CCA78928/97 ga97aQiangfuZhao.

[550] Martin Ruttgers. Differential evolution: A method for optimization of real scheduling problems. TechnicalReport TR-97-013, International Computer Science Institute, Berkeley, CA, 1997. (www.icsi.berkeley.edu/techreports/1997.html) ga97aRuttgers.

[551] Alexander V. Spirov and Maria G. Samsonova. Strategy of co-evolution of transposons and host genome:Application to evolutionary computations. In Alander [1659], pages 71–82. (ftp://ftp.uwasa.fics/3NWGA/Spirov.ps.Z) ga97aSpirov.

[552] C. Jacob. Simulating evolution with Mathematica. In ?, editor, Proceedings of the 1997 2nd InternationalMathematica Symposium, pages 263–272, Rovaniemi, Finland, June 29.-July 4. 1997. Computational Me-chanics Publ, Ashurst, England. †EI M172615/97 ga97bCJacob.

[553] Jinn-Moon Yang, Y.-P. Chen, Jorng-Tzong Horng, and Cheng-Yan Kao. Applying family competitionto evolution strategies for constrained optimization. In Proceedings of the 6th International Conference,pages 201–211, Indianapolis, IN, 13.-16. April 1997. Springer-Verlag, Berlin (Germany). †CCA70327/97ga97bJ-MYang.

[554] Pablo Funes, Elizabeth Sklar, Hugues Juille, and Jordan B. Pollack. The Internet as a virtual ecology:coevolutionary arms races between human and artificial populations. Technical Report CS-97-197, BrandeisUniversity, Computer Science Department, 1997. ga97bPabloFunes.

[555] Qiangfu Zhao. A society model for co-operative co-evolutionary algorithms. In Proceedings of the 1997International Conference on Neural Information Processing and Intelligent Information Systems, volume 1,pages 444–447, Dunedin (New Zealand), 24.-28. November 1997. Springer-Verlag, Singapore (Singapore).†CCA66193/98 ga97bQiangfuZhao.

[556] Moshe Sipper, Eduardo Sanchez, Daniel Mange, Marco Tomassini, Andres Perez-Uribe, and Andre Stauf-fer. A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems. IEEE Transactionson Evolutionary Computation, 1(1):83–97, April 1997. ga97dSipper.

[557] Alan D. Blair, Elizabeth Sklar, and Pablo Funes. Co-evolution, determinism and robustness. In Bob McKay,Xin Yao, Charles S. Newton, Jong-Hwan Kim, and Takeshi Furuhashi, editors, Simulated Evolution andLearning (SEAL-98), volume 1585 of Lecture Notes in Artificial Intelligence, page ?, ?, ? 1998. Springer-Verlag, Berlin. ga98aAlanDBlair.

[558] Bjorn Olsson. A host-parasite genetic algorithm for asymmetric tasks. In Proceedings of the 10th EuropeanConference on Machine Learning, pages 346–351, Chemnitz, Germany, 21.-23. April 1998. Springer-Verlag,Berlin (Germany). †CCA65898/98 ga98aBOlsson.

[559] Sevan G. Ficici and Jordan B. Pollack. Coevolving communicative behavior in a linear pursuer-evadergame. In Pfeifer, Blumberg, and Kobayashi, editors, Proceedings of the Fifth International Conference ofthe Society for Adaptive Behavior, page ?, ?, ? 1998. MIT Press, Cambridge, MA. ga98aFicici.

[560] H. Handa, O. Katai, Norio Baba, and T. Sawaragi. Solving constraint satisfaction problems by using coevo-lutionary genetic algorithms. In Proceedings of the 1998 IEEE International Conference on EvolutionaryComputation, pages 21–26, Anchorage, AK (USA), 4.-9. May 1998. IEEE, New York, NY. †CCA74894/98ga98aHHanda.

[561] H. Takagi. Interactive evolutionary computation-cooperation of computational intelligence and humanKansei. In Proceedings of the 5th International Conference on Soft Computing and Information/IntelligentSystems, volume 1, pages 41–50, Fukuoka, Japan, 16.-20. October 1998. World Scientific, Singapore.†CCA65657/99 ga98aHTakagi.

[562] Ji-Pyng Chiou and Feng-Sheng Wang. A hybrid method of differential evolution with application to optimalcontrol problems of a bioprocess system. In Proceedings of the 1998 IEEE International Conference onEvolutionary Computation, pages 627–632, Anchorage, AK (USA), 4.-9. May 1998. IEEE, New York, NY.†CCA76294/98 ga98aJi-Chiou.

[563] Luca Peliti. A solvable model of the evolutionary loop. Europhysics Letters, 44(5):546–551, 1. December1998. ga98aLPeliti.

www.icsi.berkeley.edu/techreports/1997.html

www.icsi.berkeley.edu/techreports/1997.html

ftp://ftp.uwasa.fics/3NWGA/Spirov.ps.Z

ftp://ftp.uwasa.fics/3NWGA/Spirov.ps.Z


[564] P. B. De Moura Oliveira and A. H. Jones. Cooperative co-evolutionary multivariable system-identificationusing structured genetic algorithms. In Proceedings of the Application of Multi-Variable System Tech-niques, pages 149–158, Bradford (UK), 7.-8. April 1998. Professional Engineering Publishing Ltd, Bury stEdmunds. †P80549 ga98aMouraOliveira.

[565] Pablo Funes, Elizabeth Sklar, Hugues Juille, and Jordan B. Pollack. Animal-animat coevolution: using theanimal population as fitness function. In R. Pfeifer et al, editor, From Animals to Animats 5: Proceedingsof the Fifth International Conference on Simulation of Adaptive Behavior, pages 525–533, ?, ? 1998. MITPress, Cambridge, MA. ga98aPabloFunes.

[566] Jordan B. Pollack and Alan D. Blair. Co-evolution in the successful learning of backgammon strategy.Machine Learning, 32(3):225–240, September 1998. * www /DEMO ga98aPollack.

[567] Elizabeth Sklar and Jordan B. Pollack. Toward a community of evolving learners. In ?, editor, ThirdInternational Conference on Learning Sciences (ICLS-98), page ?, ?, ? 1998. ? ga98aSklar.

[568] Robert P. Worden. Words, memes and language evolution. In ?, editor, Appeared in? Proceedings of theEvolution of Language Conference, page ?, London (UK), April 1998. ? ga98aWorden.

[569] Sevan G. Ficici and Jordan B. Pollack. Challenges in coevolutionary learning: arms-race dynamics, open-endedness, and mediocre stable states. In Adami, Belew, Kitano, and Talor, editors, Proceedings of the SixthInternational Conference on Artificial Life, page ?, ?, ? 1998. MIT Press, Cambridge, MA. ga98bFicici.

[570] Hugues Juille and Jordan B. Pollack. Coevolving the “ideal” trainer: Application to the discovery ofcellular automata rules. In ?, editor, Proceedings of the Third Annual Genetic Programming Conference,page ?, Madison, WI, 22.-25. July 1998. ? ga98bHJuille.

[571] Elizabeth Sklar, Alan D. Blair, and Jordan B. Pollack. Co-evolutionary learning: machines and humansschooling together. In ?, editor, Fourth World Congress on Expert Systems, page ?, ?, ? 1998. ? ga98bSklar.

[572] Helio J. C. Barbosa. A coevolutionary genetic algorithm for constrained optimization. In Proceedings ofthe 1999 Congress on Evolutionary Computation-CEC99, volume 3, pages 1605–1611, Washington, DC,6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77244/99 ga99aBarbosa.

[573] Chi-Sun Joung, Dong Wook Lee, Hyo-Byung Jun, and Kwee Bo Sim. Evolution of neural network’sstructure and learning patterns based on competitive co-evolutionary method. J. Inst. Electron. Eng.Korea S (South Korea), 36-S(1):29–37, 1999. In Korean †CCA53479/99 ga99aChiJoung.

[574] J. Y. Goulermas and P. Liatsis. Feature-based stereo matching via coevolution of epipolar sub-problems. InProceedings of the Seventh International Conference on Image Processing and its Applications, volume 1,pages 23–27, Manchester, UK, 13.-15 July 1999. IEE, London (UK). †CCA77874/99 ga99aGoulermas.

[575] H. A. Mayer and R. Schwaiger. Evolutionary and coevolutionary approaches to time series predic-tion using generalized multi-layer perceptrons. In Proceedings of the 1999 Congress on EvolutionaryComputation-CEC99, volume 1, pages 275–280, Washington D.C., 6.-9. July 1999. IEEE, Piscataway,NJ. †CCA84338/99 ga99aHAMayer.

[576] M. Waters and J. Sheppard. Genetic programming and co-evolution with exogenous fitness in an artificiallife environment. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 3,pages 1641–1648, Washington, DC, 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA83602/99 ga99aMWaters.

[577] Yu. M. Pis’mak. Simple model of self-organized biological evolution as a completely integrable dissipativesystem. Physical Review Letters, 83(23):4892–4895, 6. December 1999. ga99aPismak.

[578] S. L. Cheng and C. Hwang. Optimal model reduction for linear systems by a differential evolution algorithm.In Proceedings of the European Control Conference, Karlsruhe, Germany, 31. August- 3. September 1999.VDI-Verlag. † ga99aSLCheng.

[579] Steven Doyle, David Corcoran, and Jon Connell. Automated mirror design using an evolution strategy.Optical Engineering, 38(2):323–333, February 1999. ga99aStevenDoyle.

[580] K. Weicker and N. Weicker. On the improvement of coevolutionary optimizers by learning variable interd-edependencies. In Proceedings of the 1999 Congress on Evolutionary Computation-CEC99, volume 3, pages1627–1632, Washington D.C., 6.-9. July 1999. IEEE, Piscataway, NJ. †CCA77377/99 ga99cWeicker.

[581] Jarmo T. Alander. Indexed bibliography of co- and differential evolutionary genetic algorithms. Report94-1-COEVO, University of Vaasa, Department of Electrical Engineering and Production Economics, 2003.http://lipas.uwasa.fi/∼TAU/reports/report94-1/gaCOEVObib.pdf gaCOEVObib.

[582] J. N. R. Jeffers. Rule induction methods in forestry research. AI Applications, 5(2):37–44, ? 1991.†ga94aKettunen ga:Jeffers91a.

http://lipas.uwasa.fi/~TAU/reports/report94-1/gaCOEVObib.pdf

Bibliography 105

[583] Liisa Saarenmaa. Induktiivinen oppiminen metsanviljelyn tietokannan tulkinnassa [Inductive learning ininterpretation of databases of forest cultivation]. PhD thesis, University of Helsinki, Department of ForestEcology, 1992. ga:Saarenmaa92thesis.

[584] Fadian Lu and Ljusk Ola Eriksson. Formation of harvest units with genetic algorithms. Forest Ecologyand Management, 130(1-3):57–67, May 2000. ga00aFadianLu.

[585] Pete Bettinger, David Graetz, Kevin Boston, John Sessions, and Woodam Chung. Eight heuristic planningtechniques applied to three increasingly difficult wildlife planning problems. Silva Fennica, 36(2):561–584,? 2002. ga02aPBettinger.

[586] Veli-Pekka Kivinen. A genetic algorithm approach to tree bucking optimization. Forest Science, 50(5):696–710, October 2004. †www /ISI ga04aVPKivinen.

[587] John Dewey. Searching for prescriptive treatment schedules with a genetic algorithm: A tool for forestmanagement. Master’s thesis, University of Georgia, Graduate Faculty, 2005. ga05aJDewey.

[588] Veli-Pekka Kivinen. Katkonnanohjausta geneettisella algoritmilla [Optimisation of cutting by geneticalgorithm]. Tietovayla, ?(4):29–30, December 2005. ga05aV-PKivinen.

[589] John Dewey, Frederick Maier, H. Michael Rauscher, Mark Twery, Walter D. Potter, Donald Nute, andScott A. Thomasma. Prescriptive treatment optimization using a genetic algorithm: a tool for forestmanagement. In A. Voinov, A. Jakeman, and A. Rizzoli, editors, Proceedings of the iEMSs Third Bien-nial Meeting: Summit on Environmental Modelling and Software, pages –, Burlington, USA, July 2006.International Environmental Modelling and Software Society. ga06aJDewey ⇒ http://www.iemss.org/

iemss2006/sessions/all.html.

[590] Veli-Pekka Kivinen. A forest-level genetic algorithm based control system for generating stand-specificlog demand distributions. Canadian Journal of Forest Research, 36(7):1705–1722, ? 2006. * www/Google scholar ga06aVPKivinen ⇒ http://www.nrcresearchpress.com/doi/abs/10.1139/x06-055?

journalCode=cjfr.

[591] J. C. Nabout, T. N. Soares, J. A. F. Diniz-Filho, P. De MarcoJr., M. P. C. Telles, R. V. Naves, and L. J.Chaves. Combining multiple models to predict the geographical distribution of the Baru tree (dipteryxalata Vogel) in the Brazilian Cerrato. Brazilian Journal of Biology, 70(4):911–919, ? 2010. ga10aJCNabout⇒ http://www.scielo.br/pdf/bjb/v70n4/a01v70n4.pdf.

[592] Arto Kettunen, Mauno Pesonen, and Petri Rasanen. Nonindustrial private forest landowner’s choice oftimber management strategy — modelling with genetic algorithm. In Jarmo T. Alander, editor, Pro-ceedings of the Second Finnish Workshop on Genetic Algorithms and their Applications, volume ReportSeries 94-2, pages 151–169, Vaasa (Finland), 16.-18. March 1994. University of Vaasa, Department of In-formation Technology and Industrial Economics. (ftp://ftp.uwasa.fics/report94-2/Kettunen.ps.Z)ga94aKettunen.

[593] Arto Kettunen, Mauno Pesonen, and Petri Rasanen. Nonindustrial private forest landowner’s choice oftimber management strategy: predicting the cutting levels with genetic algorithm. In Christer Carls-son, Timo Jarvi, and Tapio Reponen, editors, Multiple Paradigms for Artificial Intelligence, Proceedingsof Contributed Session Papers of the Conference on Artificial Intelligence Research in Finland [SuomenTekoalytutkimuksen Paivat STeP-94, pages 216–229, Turku, 29.-31. August 1994. Finnish Artificial Intel-ligence Society (FAIS). ga94bKettunen.

[594] Mauno Pesonen, Arto Kettunen, and Petri Rasanen. Non-industrial private forest landowners’ choises oftimber management strategies: Genetic algorithm in predicting planned harvest rates. Acta ForestaliaFennica, 250(?):1–28?, ? 1995. ga95aPesonen ⇒ .

[595] Arto Kettunen. Adaptive and intelligent systems in wood procurement planning: optimization of raw-material flow for manufacturing of sawmill chips. In Alander [1660], pages 233–236. (ftp://ftp.uwasa.fics/2NWGA/Kettunen.ps.Z) ga96aKettunen.

[596] David A. Hughell and Joseph P. Roise. Simulated adaptive management for timber and wildlife underuncertainty. In J. Shaffer, editor, Proceedings of the 7th Symposium on Systems Analysis in ForestrResources, pages 133–140, Traverse City, MI, May 1997. Society of American Foresters. ga97aDAHughell.

[597] David S. Mullen and Ralph M. Butler. Genetic algorithms in optimization of adjacency constrained timberharvest scheduling problems. In Koza et al. [1650], page ? †conf.prog ga97aMullen.

[598] Ilkka Karanta, Topi Mikkola, Catherine Bounsaythip, Olli Jokinen, and Juha Savola. Genetic algorithmsapplied to a wood collection problem. In Proceedings of the 1999 IEEE International Conference onSystems, Man, and Cybernetics, volume 4, pages 635–639, ?, 12.-15. October 1999. IEEE, Piscataway, NJ.ga99aIKaranta.

http://www.iemss.org/iemss2006/sessions/all.html

http://www.iemss.org/iemss2006/sessions/all.html

http://www.nrcresearchpress.com/doi/abs/10.1139/x06-055?journalCode=cjfr

http://www.nrcresearchpress.com/doi/abs/10.1139/x06-055?journalCode=cjfr

http://www.scielo.br/pdf/bjb/v70n4/a01v70n4.pdf

ftp://ftp.uwasa.fics/report94-2/Kettunen.ps.Z

ftp://ftp.uwasa.fics/2NWGA/Kettunen.ps.Z

ftp://ftp.uwasa.fics/2NWGA/Kettunen.ps.Z


[599] A. W. R. Payne and Robert C. Glen. Molecular recognition using a binary genetic search algorithm.Journal of Molecular Graphics, 11(2):74–91, June 1993. * MEDLINE EI Dec 93 [1263] ga:Glen93c.

[600] F. M. Stefanini and A. Camussi. APLOGEN: an object-oriented genetic algorithm performing Monte Carlooptimization. Comput. Appl. Biosci., 11(2):74–91,121–123, June 1993. †MEDLINE ga:Stefanini93a.

[601] D. T. Jones. De-novo protein design using pairwise potentials and a genetic algorithm. Protein Science,3(4):567–574, April 1994. †MEDLINE [?] ga94aDTJones.

[602] P. N. Sanderson, Robert C. Glen, A. W. R. Payne, B. D. Hudson, C. Heide, G. E. Tranter, P. M. Doyle,and C. J. Harris. Characterisation of the solution conformation of a cyclic RGD peptide analogue by NMRspectroscopy allied with a genetic algorithm approach and constrained molecular dynamics. Interna-tional Journal of Peptide and Protein Research, 43(6):588–596, June 1994. †MEDLINE News /Herrmannga94aPNSanderson.

[603] F. H. D. van Batenburg, A. P. Gultyaev, and C. W. A. Pleij. An APL-programmed genetic algorithm forthe prediction of RNA secondary structure. Journal of Theoretical Biology, 174(3):269–280, 7. June 1995.ga95aBatenburg.

[604] G. Benedetti and S. Morosetti. A genetic algorithm to search for optimal and suboptimal RNA secondarystructures. Biophysical Chemistry, 55(3):253–259, August 1995. †MEDLINE ga95aBenedetti.

[605] Robert C. Glen and A. W. R. Payne. A genetic algorithm for the automated generation of moleculeswithin constraints. Journal of Computer-Aided Molecular Design, 9(2):181–202, April 1995. †MEDLINENews /Herrmann ga95aGlen.

[606] Alexander P. Gultyaev, F. H. van Batenburg, and Cornelis W. A. Pleij. The computer simulation of RNAfolding pathways using a genetic algorithm. Journal of Molecular Biology, 250(1):37–51, 30. June 1995.ga95aGultyaev.

[607] Hiroyuki Ogata, Yutaka Akiyama, and Minoru Kanehisa. A genetic algorithm based molecular model-ing technique for RNA stem-loop structures. Nucleic Acids Research, 23(3):419–426, 11. February 1995.†MEDLINE News /Herrmann ga95aOgata.

[608] C. M. Oshiro, I. D. Kuntz, and J. Scott Dixon. Flexible ligand docking using a genetic algorithm. Journalof Computer-Aided Molecular Design, 9(2):113–130, April 1995. ga95aOshiro.

[609] Shaojian Sun. A genetic algorithm that seeks native states of peptides and proteins. Biophysics Journal,69(2):340–355, August 1995. ga95aSSun.

[610] Francesco Vivarelli, Giuliano Giusti, Marco Villani, Renato Campanini, Piero Fariselli, Mario Compiani,and Rita Casadio. LGANN: a parallel system combining a local genetic algorithm and neural networksfor the prediction of secondary structure of protein. Computer Applications in the Biosciences (CABIOS),11(3):253–260, June 1995. ga95aVivarelli.

[611] David R. Westhead, David E. Clark, David Frenkel, Jin Li, Christopher W. Murray, Barry Robson,and Bohdan Waszkowycz. PRO LIGAND: An approach to de novo molecular design. 3. a genetic algo-rithm for structure refinement. Journal of Computer-Aided Molecular Design, 9(2):139–148, April 1995.ga95aWesthead.

[612] Gareth Jones, Peter Willett, and Robert C. Glen. Molecular recognition of receptor sites using a geneticalgorithm with a description of desolvation. Journal of Molecular Biology, 245(1):43–53, 6. January 1995.ga95bGJones.

[613] Michael Levin. The evolution of understanding: A genetic algorithm model of the evolution of communi-cation. BioSystems, 36(3):167–178, ? 1995. †MEDLINE ga95cLevin.

[614] Arjun S. Bangalore, Ronald E. Shaffer, Gary W. Small, and Mark A. Arnold. Genetic algorithm-basedmethod for selecting wavelenghts and model size for use with partial least-squares regression: Application tonear-infrared spectroscopy. Analytical Chemistry, 68(23):4200–4212, 1. December 1996. ga96aASBangalore.

[615] Thomas Dandekar and Patrick Argos. Ab initio tertiary-fold prediction of helical and non-helical proteinchains using a genetic algorithm. International Journal of Biological Macromolecules, 18(1-2):1–4, 1996.†MEDLINE News /Herrmann ga96aDandekar.

[616] Derek C. van Leijenhorst, Carlos B. Lucasius, and Jos M. Thijssen. Optical design with the aid of a geneticalgorithm. BioSystems, 37(3):177–187, ? 1996. ga96aLeijenhorst.

[617] Thomas Dandekar and Patrick Argos. Identifying the tertiary fold of small proteins with different topologiesfrom sequence and secondary structure using the genetic algorithm and extended criteria specific for strandregions. Journal of Molecular Biology, 256(3):645–660, 1. March 1996. ga96bDandekar.

Bibliography 107

[618] Narayan Behera and Vidyanand Nanjundiah. The consequences of phenotypic plasticity in cyclically vary-ing environments: A genetic algorithm study. Journal of Theoretical Biology, 178(2):135–144, 21. January1996. ga96bNBehera.

[619] Guillermo Montilla, Christian Roux, Victor Barrios, V. Torrealba, Naykiavick Rangel, Vytautas Subacius,L. Miliani, and C. Vasquez. Model-based, knowledge-based epicardial boundary detector. In Proceedingsof the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,volume 1, pages 205–208, San Diego, CA, 28.-31. October 1993. IEEE. †EI M077812/94 ga:Barrios93a.

[620] Guillermo Montilla, Victor Barrios, Vytautas Subacius, and Naykiavick Rangel. Model-based epicardialboundary detection using genetic algorithms. In Proceedings of the 15th Annual International Conferenceof the IEEE Engineering in Medicine and Biology Society, volume 1, pages 226–227, San Diego, CA,28.-31. October 1993. IEEE. †EI M074142/94 ga:Barrios93b.

[621] Venkat R. Mandava, J. Michael Fitzpatrick, and David R. Pickens, III. Adaptive search space scalingin digital image registration. IEEE Transactions on Medical Imaging, 8(3):251–262, September 1989.ga:Fitzpatrick89a.

[622] A. Hill and C. J. Taylor. Model-based image interpretation using genetic algorithms. Image and VisionComputing, 10(5):295–300, June 1992. ga:Hill92b.

[623] Jean-Jose Jacq and Christian Roux. Automatic registration of 3D images using a simple genetic algorithmwith a stochastic performance function. In Proceedings of the 15th Annual International Conference ofthe IEEE Engineering in Medicine and Biology Society, volume 1, pages 126–127, San Diego, CA, 28.-31. October 1993. IEEE. †EI M080364/94 ga:Jacq93b.

[624] Charles C. Peck, Atam P. Dhawan, and Claudia M. Meyer. Genetic algorithm based input selection for aneural network function approximator with applications to SSME monitoring. In 1993 IEEE InternationalConference on Neural Networks, volume II, pages 1115–1122, San Francisco, CA, 28. March - 1. April1993. IEEE. ga:Peck93a.

[625] Paul S. Lewis and John C. Mosher. Genetic algorithms for minimal source reconstructions. In AvtarSingh, editor, Proceedings of the Twenty-Seventh Asilomar Conference on Signals, Systems & Computers,volume 1, pages 335–338, Pacific Grove, CA, 1.-3. November 1993. IEEE Computer Society Press, LosAlamitos, CA. ga:PSLewis93a.

[626] Satish Kumar Tadikonda, Milan Sonka, and Steve M. Collins. Region merging in medical image seg-mentation and interpretation. In Proceedings of the 15th Annual International Conference of the IEEEEngineering in Medicine and Biology Society, volume 1, pages 158–159, San Diego, CA, 28.-31. October1993. IEEE. †EI M080370/94 ga:SMCollins93b.

[627] Riccardo Poli and G. Valli. Neural inhabitants of MR and echo images segment cardiac structures. In Pro-ceedings of the 1993 Conference on Computers in Cardiology, pages 193–196, London (UK), 5.-8. September1993. IEEE Computer Society Press, Los Alamitos, CA. †EI M081918/94 ga:Valli93a.

[628] Aimin Wang, Lansun Shen, and Zhongxu Zhao. Color tongue image segmentation using fuzzy Kohonennetworks and genetic algorithms. In Nasser M. Nasrabadi and Aggelos K. Katsaggelos, editors, Applicationsof Artificial Neural Networks in Image Processing V, volume SPIE-3962, pages 182–190, ?, April 2000. TheInternational Society for Optical Engineering. * www/SPIE Web ga00aAWang.

[629] Hamid Soltanian-Zadeh, Siamak Pourabdollah-Nezhad, and Farshid Rafiee Rad. Texture feature extractionmethods for microcalcification classification in mammograms. In Kenneth M. Hanson, editor, MedicalImaging 2000: Image Processing, volume SPIE-3979, pages 982–989, ?, June 2000. The InternationalSociety for Optical Engineering. * www/SPIE Web ga00aHSoltanian-Zadeh.

[630] H. Treugut, M. Koppen, B. Nickolay, R. Fuss, and P. Schmid. [Kirlian photography: accidental or person-specific pattern]. Forschung Komplementarmedizin Klass Naturheilkd, 7(1):12–16, ? 2000. * PubMedga00aHTreugut.

[631] Jean-Michel Rouet, Jean-Jose Jacq, and Christian Roux. Genetic algorithms for a robust 3-D MR-CTregistration. IEEE Transactions on Information Technology in Biomedicine, 4(2):126–136, June 2000.ga00aJ-MRouet.

[632] Joerg Bredno, Thomas M. Lehmann, and Klaus Spitzer. Automatic parameter setting for balloon models.In Kenneth M. Hanson, editor, Medical Imaging 2000: Image Processing, volume SPIE-3979, pages 1185–1194, ?, June 2000. The International Society for Optical Engineering. * www/SPIE Web ga00aJBrendo.

[633] Jonathan Charles Prather. Exploratory data analysis to detect preterm risk factors. PhD thesis, DukeUniversity, 2000. * www /UMI ga00aJCPrather.


[634] M. J. Zelefsky, G. Cohen, K. L. Zakian, J. Dyke, J. A. Koutcher, H. Hricak, L. Schwartz, and M. Zaider.Intraoperative conformal optimization for transperineal prostate implantation using magnetic resonancespectroscopic imaging. Cancer J. Sci. Am., 6(4):249–255, July-August 2000. * PubMed11038145ga00aMJZelefsky.

[635] Man Leung Wong and Kwong Sak Leung. Data Mining Using Grammar Based Genetic Programming andApplications, volume 3 of Genetic Programming. Kluwer Academic Publishers, Boston, MA, 2000. †Leunglop ga00aMLWong.

[636] M. Sasikala and N. Kumaravel. Optimal autoregressive model based medical image compression usinggenetic algorithm. Biomed. Sci. Instrum., 36(?):177–182, ? 2000. * PubMed10834229 ga00aMSasikala.

[637] Randy P. Broussard, Jeffrey W. Hoffmeister, John E. Rosenstengel, Philip Amburn, Edward M. Ochoa,Steven K. Rogers, Telford S. Berkey, Martin P. Desimo, and Thomas F. Rathbun. Method and systemfor segmenting desired regions in digital mammograms, 2000. (U. S. patent no. 6,091,841. Issued July 182000) * fi.espacenet.com ga00aPRBroussard.

[638] Sushmita Mitra and Yoichi Hayashi. Neuro-fuzzy rule generation: survey in soft computing framework.IEEE Transactions on Neural Networks, 11(3):748–768, May 2000. ga00aSushmitaMitra.

[639] Tsui-Ying Law and Pheng-Ann Heng. Automated extraction of bronchus from 3D CT images of lungbased on genetic algorithm and 3D region growing. In Kenneth M. Hanson, editor, Medical Imaging 2000:Image Processing, volume SPIE-3979, pages 906–916, ?, June 2000. The International Society for OpticalEngineering. * www/SPIE Web ga00aT-YLaw.

[640] Walker H. Land, Timothy D. Masters, and Joseph Y. Lo. Applications of GRNN oracle to the intelligentcombination of several breast cancer benign/malignant predictive paradigms. In Kenneth M. Hanson,editor, Medical Imaging 2000: Image Processing, volume SPIE-3979, pages 77–85, ?, June 2000. TheInternational Society for Optical Engineering. * www/SPIE Web ga00aWHLand.

[641] Randy P. Broussard, Jeffrey W. Hoffmeister, John E. Rosenstengel, Philip Amburn, Edward M. Ochoa,Steven K. Rogers, Telford S. Berkey, Martin P. Desimo, and Thomas F. Rathbun. Method and system forcombining automated detections from digital mammograms with observed detections of a human inter-preter, 2000. (U. S. patent no. 6,115,488. Issued September 5 2000) * fi.espacenet.com ga00bRPBroussard.

[642] Man Leung Wong, W. Lam, Kwong Sak Leung, P. S. Ngan, and J. C. Y. Cheng. Discovering knowledge frommedical databases using evolutionary algorithms. IEEE Engineering in Medicine and Biology Magazine,19(4):45–55, July/August 2000. †Leung lop ga00cMLWong.

[643] Randy P. Broussard, Steven K. Rogers, and Thomas F. Rathbun. Gabor filtering for improved microcal-cification detection in digital mammograms, 2000. (U. S. patent no. 6,137,898. Issued October 24 2000) *fi.espacenet.com ga00cRPBroussard.

[644] Salvatore Caorsi, Andrea Massa, and Matteo Pastorino. Numerical assessment concerning a focused mi-crowave diagnostic method for medical applications. IEEE Transactions on Microwave Theory and Tech-niques, 48(11):1815–1830, November 2000. ga00cSCaorsi.

[645] Randy P. Broussard, Jeffrey W. Hoffmeister, John E. Rosenstengel, Philip Amburn, Edward M. Ochoa,Steven K. Rogers, Telford S. Berkey, Martin P. Desimo, and Thomas F. Rathbun. Method and systemfor segmentation and detection of microcalcifications from digital mammograms, 2000. (U. S. patent no.6,167,146. Issued December 26 2000) * fi.espacenet.com ga00dRPBroussard.

[646] Xiaodong Li, Tianzi Jiang, and D. J. Evans. Medical image reconstruction using a multi-objective ge-netic local search algorithm. International Journal of Computer Mathematics, 74(?):301–314, ? 2000.ga00XiaodongLi.

[647] A. Bavilacqua, R. Campanini, and N. Lanconelli. Optimization of a distributed genetic algorithm on acluster of workstations for the detection of microcalcification. International Journal of Modern Physics C,12(1):55–70, January 2001. †INSPEC 6940976 ga01aABevilacqua.

[648] Bogdan Filipic and Janez Strancar. A hybrid evolutionary algorithm to facilitate characterization ofbiological systems with electron paramagnetic resonance. In Matousek Radek and Osmera Pavel, editors,7th International Conference on Soft Computing, Mendel 2001, pages 122–130, Brno, Czech Republic, 6.-8.June 2001. Brno University of Technology. ga01aBFilipic.

[649] Ching-Fen Jiang. Autosegmentation of ultrasonic images by the genetic algorithm. In Milan Sonka andKenneth M. Hanson, editors, Medical Imaging 2001: Image Processing, volume SPIE-4322, pages 151–157,?, July 2001. The International Society for Optical Engineering. * www/SPIE Web ga01aC-FJiang.

Bibliography 109

[650] Chi Kin Chow, Hung Tat Tsui, Tong Lee, and Tze Kin Lau. Medical image registration and modelconstruction using genetic algorithm. In Proceedings of the International Workshop on Medical Imagingand Augmented Reality, pages 174–178, ?, 10.-12. June 2001. IEEE, Piscataway, NJ. ga01aChiKinChow.

[651] G. J. Kacprzynski, M. J. Roemer, A. J. Hess, and K. R. Bladen. Extending FMECA-health manage-ment design optimization for aerospace applications. In Aerospace Conference 2001, IEEE Proceedings,volume 6, pages 3105–3112, Big Sky, MT, 10.-17. March 2001. IEEE, Piscataway, NJ. * www /IEEEga01aGJKacprzynski.

[652] George K. Matsopoulos, Konstantinos K. Delibasis, and Nicolaos A. Mouravliansky. Ch. 19: Medical imageregistration and fusion techniques: A review. In Stergios Stergiopoulos, editor, Advanced Signal ProcessingHandbook, page ? CRC Press LLC, Boca Raton, FL, 2001. ga01aGKMatsopoulos.

[653] Hamid Soltanian-Zadeh, Siamak Pourabdollah-Nezhad, and Farshid Rafiee Rad. Shape-based and texture-based feature extraction for classification of microcalfications in mammograms. In Milan Sonka and Ken-neth M. Hanson, editors, Medical Imaging 2001: Image Processing, volume SPIE-4322, pages 301–310, ?,July 2001. The International Society for Optical Engineering. * www/SPIE Web ga01aHSoltanian-Zadeh.

[654] I. Aizenberg, N. Aizenberg, J. Hiltner, C. Moraga, and E. Meyer zu Bexten. Cellular neural networksand computational intelligence in medical image processing. Image and Vision Computing, 19(4):177–183,March 2001. ga01aIAizenberg.

[655] Jorma Laurikkala. Knowledge Discovery for Female Urinary Incontinence Expert Systems. PhD thesis,University of Tampere, Department of Computer and Information Sciences, 2001. ga01aJormaLaurikkala.

[656] Markus Brameier and Wolfgang Banzhaf. A comparison of linear genetic programming and neural networksin medical data mining. IEEE Transactions on Evolutionary Computation, 5(1):17–26, February 2001.ga01aMBrameier.

[657] Mingxi Wan, Yangmei Li, Junbo Li, and Yaoyao Cui Xiaodong Zhou. Strain imaging and elasticity recon-struction of arteries based on intravascular ultrasound video images. IEEE Transactions on BiomedicalEngineering, 48(1):116–120, January 2001. ga01aMingxiWan.

[658] Max Mignotte, Jean Meunier, and Jean-Claude Tardif. Endocardial boundary Estimation and tracking inechocardiographic images using deformable template and Markov fields. Pattern Analysis & Applications,4(4):256–271, ? 2001. * www /Springer ga01aMMignotte.

[659] Mingxi Wan, Yangmei Li, Junbo Li, Yaoyao Cui, and Xiaodong Zhou. Strain imaging and elasticity re-construction of arteries based on intravascular ultrasound video images. IEEE Transactions on BiomedicalEngineering, 48(1):116–120, January 2001. ga01aMWan.

[660] Pilar Castellano, Pedro L. de Angel, and Veronica Medina. Deformation of NMR images using a local lineartransformation. In Milan Sonka and Kenneth M. Hanson, editors, Medical Imaging 2001: Image Processing,volume SPIE-4322, pages 909–916, ?, July 2001. The International Society for Optical Engineering. *www/SPIE Web ga01aPCastellanos.

[661] P. Meesad and G. G. Yen. A hybrid intelligent system for medical diagnosis. In Proceedings of theInternational Joint Conference on Neural Networks (IJCNN’01), volume 4, pages 2558–2563, Washington,DC, 15.-19. July 2001. IEEE, Piscataway, NJ. * www /IEEE ga01aPMeesad.

[662] Randy P. Broussard, Jeffrey W. Hoffmeister, John E. Rosentengel, Philip Amburn, Edward M. Ochoa,Steven K. Rogers, Telford S. Berkey, Martin P. Desimo, and Thomas P. Rathbun. Optimal parameterselection fir the detection of clustered microcalcification in digital mammograms, 2001. (U. S. patent no.6,205,236. Issued March 20 2001) * fi.espacenet.com ga01aRPBroussard.

[663] Walker H. Land, Timothy D. Masters, Joseph Y. Lo, and Dan McKee. Application of adaptive boostingto EP-derived multilayer feed-forward neural networks MLFN to improve benign/malignant breast cancerclassification. In Milan Sonka and Kenneth M. Hanson, editors, Medical Imaging 2001: Image Processing,volume SPIE-4322, pages 1717–1724, ?, July 2001. The International Society for Optical Engineering. *www/SPIE Web ga01aWHLand.

[664] Yongbum Lee, T. Hara, H. Fujita, S. Itoh, and T. Ishigaki. Automated detection of pulmonary nodulesin helical CT images based on an improved template-matching technique. IEEE Transactions on MedicalImaging, 20(7):595–604, July 2001. †www /IEEE ga01aYongbumLee.

[665] Randy P. Broussard, John E. Resenstengel, Edward M. Ochoa, Steven Rogers, and Thomas F. Rathbun.Joint optimization of parameters for the detection of clustered microcalcifications in digital mammograms,2001. (U. S. patent no. 2001008562. Issued July 19 2001) * fi.espacenet.com ga01bRPBroussard.


[666] Alain Pitiot, Arthur W. Toga, and Paul M. Thompson. Adaptive elastic segmentation of brain MRI viashape-model-guided evolutionary programming. IEEE Transactions on Medical Imaging, 21(8):910–923,August 2002. ga02aAlainPitiot.

[667] Christopher W. Connor, Greg T. Clement, and Kullervo Hynynen. A unified model for the speed of soundin cranial bone based on genetic algorithm optimization. Physics in Medicine and Biology, 47(?):3925–3944,? 2002. * www /IOP ga02aCWConnor.

[668] G. C. Kagadis, Konstantinos K. Delibasis, George K. Matsopoulos, Nicolaos A. Mouravliansky, P. A.Asvestas, and G. C. Nikiforidis. A comparative study of surface- and volume-based techniques for theautomatic registration between CT and SPECT brain images. Medical Physics, 29(2):201–213, February2002. * ISI ga02aGCKagadis.

[669] Georges Dumont, Christofer Kuhl, and Philippe Bidaud. Simulating and optimizing active endoscopeprototypes. In Actes de ISR 2002: International Symposium on Robot-based Automation with IndustrialIT and Service Robotics, page ?, Stockholm (Sweden), ? 2002. ? ga02aGeorgesDumont.

[670] L. Ibanez, L. Ng, J. Gee, and S. Aylward. Registration patterns: The generic framework for imageregistration of the Insight toolkit. In Proceedings of the 2002 IEEE International Symposium on BiomedicalImaging, pages 345–348, ?, 7.-10. July 2000. IEEE, Piscataway, NJ. ga02aLIbanez.

[671] Peter Knoll, Bob Kenny, Siroos Mirzaei, Karl Koriska, Horst Khn, and Martin Neumann. A (µ + λ) evo-lutionary algorithm for reconstruction of SPECT data. IEEE Transaction on Evolutionary Computation,6(6):533–541, December 2002. ga02aPeterKnoll.

[672] Renjie He and Ponnada A. Narayana. Global optimization of mutual information: application to three-dimensional retrospective registration of magnetic resonance images. Computerized Medical Imaging andGraphics, 26(?):277–292, ? 2002. ga02aRenjieHe.

[673] Tianzi Jiang and Yong Fan. Parallel genetic algorithm for 3D medical image analysis. In Proceedings ofthe 2002 IEEE International Conference on Image Processing, volume 6, pages –, ?, 6.-9. October 2002.IEEE, Piscataway, NJ. ga02aTianziJiang.

[674] Tim McInerney, Ghassan Hamarneh, Martha Shenton, and Demetri Terzopoulos. Deformable organ-isms for automatic medical image analysis. Medical Image Analysis, 6(3):251–266, September 2002.ga02aTimMcInerney.

[675] T. S. Douglas, S. E. Solomonidis, W. A. Sandham, and W. D. Spence. Ultrasound image matchingusing genetic algorithms. Medical & Biological Engineering & Computing, 40(2):168–172, March 2002.ga02aTSDouglas.

[676] Yong Fan, Tianzi Jiang, and David J. Evans. Volumetric segmentation of brain images using parallelgenetic algorithm. IEEE Transactions on Medical Imaging, 21(8):904–909, August 2002. ga02aYongFan ⇒http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=712135&isnumber=15439.

[677] Zumray Dokur, Mehmet Nadir Kurnaz, and Tamer Olmez. Segmentation of ultrasound images by us-ing quantizer neural network. In ?, editor, Proceedings of the 15th IEEE International Symposium onComputer-Based Medical Systems, pages 257–261, ?, 4.-7. June 2002. IEEE Computer Society, Piscataway,NJ. ga02aZDokur.

[678] Yong Fan, Tianzi Jiang, and David J. Evans. Medical image registration using parallel genetic algorithms.In S. Cagnoni, J. Gottlieb, E. Hart, M. Middendorf, and G. R. Raidl, editors, Applications of EvolutionaryComputing, Proceedings, volume 2279 of Lecture Notes in Computer Science, pages 304–314, ?, ? 2002.Springer-Verlag, Heidelberg. †www /ISI ga02bYongFan.

[679] Ayman El-Baz, Aly A. Farag, Robert Falk, and Renato La Rocca. A unified approach for detection,visualization, and identification of lung abnormalities in chest spiral CT scans. In ?, editor, Proceedings ofthe 17th International Congress and Exhibition, Computer Assisted Radiology and Surgery (CARS 2003),International Congress Series, pages 998–1004, ?, ? 2003. Elsevier Science B.V. * www /ScienceDirectga03aAymanEl-Baz.

[680] D. Yau and S. Grozier. A genetic algorithm/method of moments approach to the optimization of an RF coilfor MRI applications — theoretical considerations. Progress in Electromagnetics Research, 39(?):177–192,? 2003. ga03aDYau ⇒ ceta.mit.edu/pier/pier.php?paper=0206262.

[681] Ela Claridge and Steve J. Preece. An inverse method for the recovery of tissue parameter from colorimages. In C. Taylor and J. A. Noble, editors, Information Processing in Medical Imaging (IPMI), vol-ume 2732 of Lecture Notes in Computer Science, pages 306–317, ?, ? 2003. Springer-Verlag, Heidelberg.ga03aElaClaridge.

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=712135&isnumber=15439

ceta.mit.edu/pier/pier.php?paper=0206262

Bibliography 111

[682] Jussi Tohka. Global Optimization-Based Deformable Meshes for Surface Extraction from Medical Images.PhD thesis, Tampere University of Technology, 2003. ga03aJussiTohka ⇒ http://dspace.cc.tut.fi/

dpub/bitstream/handle/123456789/24/tohka.pdf?sequence=1.

[683] Maryann D’Alessandro, Rosana Esteller, George Vachtsevanos, Arthur Hinson, Javier Echauz, and BrianLitt. Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrodecontacts: A report of four patients. IEEE Transactions on Biomedical Engineering, 50(5):603–615, May2003. ga03aMDAlessandro.

[684] M. I. Quintana, Riccardo Poli, and Ela Claridge. On two approaches to image processing algorithmdesign for binary images using GP. In S. Cagnoni etal, editor, Applications of Evolutionary Computation,Proceedings of the EvoIASP, volume 2611 of Lecture Notes in Computer Science, pages 426–435, ?, ? 2003.Springer-Verlag, Heidelberg. †www /Claridge ga03aMIQuintana.

[685] M. Roberts and Ela Claridge. An artificially evolved vision system for segmenting skin lesion images. InR. E. Ellis and T. M. Peters, editors, Proceedings of the 6th International Conference on Medical ImageComputing and Computer-Assisted Intervention (MICCAI), volume 2878 of Lecture Notes in ComputerScience, pages 655–662, ?, ? 2003. Springer-Verlag, Heidelberg. †www /Claridge ga03aMRobers.

[686] N. P. Castellanos, P. L. Del Angel, and V. Medina. A hierarchical nonrigid image registration techniquebased on local deformations. In Proceedings of the 25th Annual International Conference of the IEEEEMBS, volume 1, pages 595–598, ?, 17.-21. September 2003. IEEE, Piscataway, NJ. ga03aNPCastellanos.

[687] Peter Knoll and S. Mirzaei. Validation of a parallel genetic algorithm for image reconstruction fromprojections. Journal of Parallel and Distributed Computing, 63(?):356–359, ? 2003. ga03aPeterKnoll.

[688] Shu-Chen Cheng and Yueh-Min Huang. A novel approach to diagnose diabetes based on the fractalcharacteristics of retinal images. IEEE Transactions on Information Technology in Biomedicine, 7(3):163–170, September 2003. ga03aShu-ChenCheng.

[689] Syoji Kobashi, Katsuya Kondo, and Yutaka Hata. Automated finding of the Willis ring in MR angiographyimages using fuzzy base. In Proceedings of the 33rd International Symposium on Multiple-Valued Logic,ISMVL, page 83, ?, ? 2003. IEEE Computer Society, Washington DC. * ACM ga03aSyojiKobashi.

[690] Tor D. Wager and Thomas E. Nicholis. Optimization of experimental design in fMRI: a general frameworkusing a genetic algorithm. NeuroImage, 18(?):293–309, ? 2003. ga03aTDWager.

[691] Yann Landrin-Schweitzer, Pierre Collet, and Evelyne Lutton. Interactive GP for data retrieval in medicaldatabases. In Conor Ryan, Terence Soule, Maarten Keijzer, Edward Tsang, Riccardo Poli, and ErnestoCosta, editors, Genetic programming, 6th European Conference, EuroGP 2003 Proceedings, volume 2610 ofLecture Notes in Computer Science, pages 93–106, Essex (UK), 14.-16. April 2003. Springer-Verlag, Berlin.ga03aYLandrin-Schweitzer.

[692] M. Roberts and Ela Claridge. An artificially evolved vision system for segmenting skin lesion images.In D. Barber, editor, Medical Image Understanding and Analysis, pages 185–188, ?, ? 2003. ? †www/Claridge ga03bMRobers.

[693] B. Raman, E. S. Bursell, M. Wilson, G. Zamora, I. Benche, S. C. Nemeth, and P. Soliz. The effectsof spatial resolution on an automated diabetic retinopathy screening system’s performance in detectingmicroaneurysms for diabetic retinopathy. In Proceedings of the 17th IEEE Symposium on Computer-BasedMedical Systems CBMS 2004, pages 128–133, ?, 24.-25. June 2004. IEEE, Piscataway, NJ. ga04aBRaman.

[694] Brian M. Dale, Jonathan S. Lewin, and Jeffrey L. Duerk. Optimal design of k-space trajectories using amulti-objective genetic algorithm. Magnetic Resonance in Medicine, 52(4):831–841, ? 2004. (Proceedingsof the International Society for Magnetic Resonance in Medicine) ga04aBrianMDale ⇒ http://www3.

interscience.wiley.com/journal/109629896/abstract.

[695] Du-Yih Tsai, Yongbum Lee, Masaru Sekiya, and Masaki Ohkubo. Medical image classification usinggenetic-algorithm based fuzzy-logic approach. Journal of Electronic Imaging, 13(4):780–788, October 2004.* www /Google ga04aDu-YihTsai.

[696] Lucia Ballerini and L. Franzen. Genetic optimization of morhological filters with application in breastcancer detection. In Raidl et al, editor, Applications of Evolutionary Computing, volume 3005 ofLNCS, pages 250–259, Coimbra (Portugal), 5.-7. April 2004. Springer-Verlag, Berlin. †www /Balleriniga04aLBallerini.

[697] Nariman Majdi Nasab. Stochastic and Biological Metaphor Parameter Estimation on the Gaussian Mix-ture Model and Image Segmentation by Markov Random Field. PhD thesis, Purdua University, 2004.ga04aNarimanMajdiNasab ⇒ https://engineering.purdue.edu/∼ace/thesis/nasab/nariman-thesis.

pdf.

http://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/24/tohka.pdf?sequence=1

http://dspace.cc.tut.fi/dpub/bitstream/handle/123456789/24/tohka.pdf?sequence=1

http://www3.interscience.wiley.com/journal/109629896/abstract

http://www3.interscience.wiley.com/journal/109629896/abstract

https://engineering.purdue.edu/~ace/thesis/nasab/nariman-thesis.pdf

https://engineering.purdue.edu/~ace/thesis/nasab/nariman-thesis.pdf


[698] V. Bevilacqua, G. Mastronardi, A. Colaninno, and A. D’Addabbo. Retina images processing using geneticalgorithm and maximum likelihood method. In S. Sahn, editor, Advances in Computer Science and Tech-nology ACST 2004, volume 431, page ?, St. Thomas, US Virgin Islands, 22.-24. November 2004. ACTAPress. * www /Google ga04aVBevilacqua.

[699] Xiaoyan Xu and Robert D. Dony. Differential evolution with Powell’s direction set method in medicalimage registration. In Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging:Nano to Macro, volume ?, pages 732–735, ?, ? 2004. IEEE, Piscataway, NJ. ga04aXiaoyanXu ⇒ http:

//ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1398642.

[700] Brian M. Dale. Optimal Design of MR Image Acquisition Techniques. PhD thesis, Case Western ReserveUniversity, Department of Biomedical Engineering, 2004. ga04bBrianMDale ⇒ http://etd.ohiolink.

edu/view.cgi?acc%5Fnum=case1081556784.

[701] Lucia Ballerini, L. Bocchi, and C. B. Johansson. Image segmentation by a genetic fuzzy c-means algorithmusing color and spatial information. In Raidl et al, editor, Applications of Evolutionary Computing, volume3005 of LNCS, pages 260–269, Coimbra (Portugal), 5.-7. April 2004. Springer-Verlag, Berlin. †www/Ballerini ga04bLBallerini.

[702] Christopher Alan Flask. Rapid Dixon Acquisitions for Water/Lipid Separation in MRI. PhD thesis, CaseWestern Reserve University, Department of Biomedical Engineering, 2005. * www /Google ga05aCAFlask

⇒ http://etd.ohiolink.edu/send-pdf.cgi/Flask%20Christopher%20Alan.pdf?case1100631509.

[703] George Karkavitsas and Maria Rangoussi. Object localization in medical images using genetic algorithms.World Academy of Science, Engineering and Technology, 2(?):6–9, ? 2005. ga05aGKarkavitsas.

[704] Hongying Zhang, Xiaozhou Zhou, Jizhou Sun, and Jiawan Zhang. A novel medical image registrationmethod based on mutual information and genetic algorithm. In Proceedings of the 2005 InternationalConference on Computer Graphics, Imaging and Vision: New Trends (CGIV’05), pages 221–226, ?, 26.-29. July 2005. IEEE Computer Society, Piscataway, NJ. ga05aHongyingZhang.

[705] J. Estevez, S. Alayon, L. Moreno, J. Sigut, and R. Aguilar. Cytological image analysis with a genetic fuzzyfinite state machine. Computer Methods and Programs in Biomedicine, 80(Supplement 1):S3–S15, ? 2005.ga05aJEstevez.

[706] Jiann-Der Lee, Jau-Hua Huang, Chung-Hsien Huang, and Li-Chang Liu. An adaptive-tabu GA for regis-tration of CT and surface laser scan. In Proceedings of the 2005 IEEE Engineering in Medicine and Biology27th Annual Conference, pages 3467–3470, Shanghai (China), 17.-18. January 2005. IEEE, Piscataway, NJ.ga05aJiann-DerLee.

[707] Jirı Klema, Jirı Kubalık, and Lenka Lhotska. Optimized model tuning in medical systems. ComputerMethods and Programs in Biomedicine, 80(Supplement 1):S17–S28, ? 2005. ga05aJiriKlema.

[708] Mythili Ogirala. Multi resolution dental image registration based on genetic algorithms.Master’s thesis, West Virginia University, College of Engineering and Mineral Resources,2005. * www /Google ga05aMOgirala ⇒ http://www.openthesis.org/documents/

Multi-resolution-dental-image-registration-381140.html.

[709] Smadar Gefen, Louise Bertrand, Nahum Kiryati, and Jonathan Nissanov. Localization of sections withinthe brain via 2D to 3D image registration. In Proceedings of the 2005 IEEE International Conferenceon Acoustics, Speech, and Signal Processing, volume 2, pages 733–736, ?, 18.-23. March 2005. IEEE,Piscataway, NJ. ga05aSGefen.

[710] Yingying Yao, Yuotong Fang, Chang Seop Koh, and Guangzheng Ni. A new design method for completelyopen architecture permanent magnet for MRI. IEEE Transactions on Magnetics, 41(5):1504–1507, May2005. ga05aYingyingYao ⇒ http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=01430895.

[711] Yongming Zhao, Su Zhang, and Yazhu Chen. Non-rigid registration algorithm based on modally con-trolled free form deformation. In Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27thAnnual Conference, pages 3237–3240, Shanghai (China), 1.-4. September 2005. IEEE, Piscataway, NJ.ga05aYongmingZhao.

[712] Oscar Cordon, Sergio Damas, and Jose Santamarıa. A fast and accurate approach for 3D image registrationusing the scatter search evolutionary algorithm. Pattern Recognition Letters, 27(?):1191–1200, ? 2006.ga06a0scarCordon.

[713] A. Mishra, P. K. Dutta, and M. K. Ghost. Fuzzy shape based motion evaluation of left ventri-cle using genetic algorithm. Image and Vision Computing, 24(?):436–446, ? 2006. ga06aAMishra

⇒ http://www.sciencedirect.com/science? ob=ArticleURL& udi=B6V09-4JRKCVR-1& user=



http://etd.ohiolink.edu/view.cgi?acc%5Fnum=case1081556784

http://etd.ohiolink.edu/view.cgi?acc%5Fnum=case1081556784

http://etd.ohiolink.edu/send-pdf.cgi/Flask%20Christopher%20Alan.pdf?case1100631509

http://www.openthesis.org/documents/Multi-resolution-dental-image-registration-381140.html

http://www.openthesis.org/documents/Multi-resolution-dental-image-registration-381140.html


http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V09-4JRKCVR-1&_user=8758044&_coverDate=05%2F01%2F2006&_rdoc=1&_fmt=high&_orig=article&_cdi=5641&_sort=v&_docanchor=&view=c&_ct=5469&_acct=C000109213&_version=1&_urlVersion=0&_userid=8758044&md5=3f417f3380982cb35e17be7f9179c343

Bibliography 113

8758044& coverDate=05%2F01%2F2006& rdoc=1& fmt=high& orig=article& cdi=5641& sort=v&

docanchor=&view=c& ct=5469& acct=C000109213& version=1& urlVersion=0& userid=8758044&md5=

3f417f3380982cb35e17be7f9179c343.

[714] Chris McIntosh and Ghassan Hamarneh. Genetic algorithm driven statistically deformed models for med-ical image segmentation. In Proceedings of the GECCO’06, pages –, Seattle, WA, 8.-12. July 2006. ACM,New York. ga06aChrisMcIntosh.

[715] Cui Lin, Shiyong Lu, Xuwei Liang, and Jing Hua. GCA: A coclustering algorithm for thalamo-cortico-thalamic connectivity analysis. In Proceedings of the Sixth IEEE International Conference on Data Mining- Workshops (ICDMW’06), volume ?, page ?, ?, ? 2006. IEEE, Piscataway, NJ. ga06aCuiLin.

[716] D. Abraham Chandy and V. Vijaya Kumari. Genetic algorithm based location of optic disc in retinalimages. Academic Open Internet Journal, 17(?):?, ? 2006. ga06aDAChandy.

[717] Diaa Eldin Nassar, Mythili Ogirala, Donald Adjeroh, and Hany Ammar. An efficient multi-resolutionGA approach to dental image alignment. In E. R. Dougherty, J. T. Astola, K. O. Egiazarian, N. M.Nasrabadi, and S. A. Rizvi, editors, Image Processing: Algorithms and Systems, Neural Networks, andMachine Learning, volume SPIE-6064, pages 606410–1–8, San Jose, CA, 16. January 2006. The Interna-tional Society for Optical Engineering, Bellingham, WA. ga06aDENassar⇒ http://spiedigitallibrary.

org/proceedings/resource/2/psisdg/6064/1/606410 1.

[718] Gholam Ali Rezaei Rad and Mehdi Kashanian. Extraction of the breast cancer tumor in mammogramsusing genetic active contour. In Proceedings of the 2006 International Conference on Biomedical andPharmaceutical Engineering ICBPE, pages 30–33, ?, ? 2006. IEEE, Piscataway, NJ. ga06aGARRad.

[719] Gabriel Ma nana, Eduardo Romero, and Fabio Gonzalez. A grid computing approach to subtractionradiography. In Proceedings of the 2006 IEEE International Conference on Image Processing, pages 3325–3328, ?, 8.-11. October 2006. IEEE, Piscataway, NJ. ga06aGManana.

[720] J. C. Z. Adjemian, E. H: Girvetz, L. Beckett, and J. E. Foley. Analysis of genetic algorithm for rule-setproduction (GARP) modeling approach for predicting distributions of fleas implicated as vectors of plague,yersinia pestis, in California. Journal of Medical Entomology, 43(1):93–103, January 2006. * www /Googlega06aJCZAdjemian.

[721] Karl G. Baum, Maria Helguera, and Andrzej Krol. Genetic algorithm automated generation of multivariatecolor tables for visualization of multimodal medical data sets. In 14th Color Imaging Conference FinalProgram and Proceedings, pages 138–143, ?, ? 2006. ga06aKGBaum.

[722] Mohamed A. Alolfe, Abou-Bakar M. Youssef, and Yasser M. Kadah. Optimal radiofrequency pulse designfor magnetic resonance imaging using genetic algorithm. In ?, editor, Proceedings of the 23rd National RadioScience Conference (NRSC 2006), pages K2 1–11, Menoufiya (Egypt), 14.-16. March 2006. MenoufiyaUniversity. ga06aMAAlolfe.

[723] Manuel Benedetti, Massimo Donelli, Anna Martini, Matteo Pastorino, Andrea Rosani, and Andrea Massa.An innovative microwave-imaging technique for nondestructive evaluation: applications to civil structuresmonitoring and biological bodies inspection. IEEE Transactions on Instrumentation and Measurement,55(6):1878–1884, December 2006. ga06aMBenedetti.

[724] Nariman Majdi-Nasab, Mostafa Analoui, and Edward J. Delp. Decomposing parameters of mixture Gaus-sian model using genetic and maximum likelihood algorithms on dental images. Pattern Recognition Letters,27(?):1522–1536, ? 2006. ga06aNMajdi-Nasab.

[725] Payel Ghosh and Melanie Mitchell. Segmentation of medical images using a genetic algorithm. In Proceed-ings of the GECCO’06, pages 1171–1178, Seattle, WA, 8.-12. July 2006. ACM, New York. ga06aPGhosh.

[726] Ronen Tal-Botzer, Nir Hadaya, Rachel S. Levy-Drummer, Ariel Feiglin, David H. Shalom, and Avidan U.Neumann. Biomathematics oriented machine learning system for reconstructing temporal profiles of bi-ological or clinical markers. In ?, editor, Proceedings of the 19th IEEE International Symposium onComputer-Based Medical Systems, pages 563–568, ?, ? 2006. IEEE Computer Society, Piscataway, NJ.ga06aRTal-Botzer.

[727] Shahzad Ahmad Qureshi, Sikander M. Mirza, and M. Arif. Fitness function evaluation for image re-construction using binary genetic algorithm for parallel ray transmission tomography. In Proceedings ofthe 2nd International Conference on Emerging Technologies, IEEE-ICET 2006, pages 196–201, Peshawar(Pakistan), 13.-14. November 2006. IEEE, Piscataway, NJ. ga06aSAQureshi.

[728] Shutao Li, Jinglin Peng, James T. Kwok, and Jing Zhang. Multimodal registration using the discretewavelet frame transform. In Proceedings of the 18th International Conference on Pattern Recognition(ICPR’06), volume 3, pages 877–880, ?, ? 2006. IEEE, Piscataway, NJ. ga06aShutaoLi.





http://spiedigitallibrary.org/proceedings/resource/2/psisdg/6064/1/606410_1



[729] Wen Peng, Ruofeng Tong, Guipeng Qian, and Jinxiang Dong. A local registration approach of medicalimages with niche genetic algorithm. In Proceedings of the 10th International Conference on ComputerSupported Cooperative Work in Design (CSCWD’06), pages 1–6, ?, 3.-5. May 2006. IEEE, Piscataway, NJ.ga06aWenPeng.

[730] Yan Guozheng, Yang Banghua, Chen Shuo, and Yan Rongguo. Pattern recognition using hybrid optimiza-tion for a robot controlled by human thoughts. In ?, editor, Proceedings of the 19th IEEE InternationalSymposium on Computer-Based Medical Systems, pages 396–400, ?, ? 2006. IEEE Computer Society,Piscataway, NJ. ga06aYanGuozheng.

[731] Oscar Cordon, Sergio Damas, and Jose Santamarıa. Feature-based image registration by means of theCHC evolutionary algorithm. Image and Vision Computing, 24(?):525–533, ? 2006. ga06b0scarCordon.

[732] O. Cordon and S. Damas. Image registration with iterated local search. Journal of Heuristics, 12(1-2):73–94, January 2006. ga06c0Cordon.

[733] Ashton Peters. Digital Image Elasto-Tomography: Mechanical Property Reconstruction from SurfaceMeasured Displacement Data. PhD thesis, University of Canterbury, Mechanical Engineering, 2007.ga07aAshtonPeters.

[734] Chang Yao, Houjin Chen, Jiangbo Yu, and Jupeng Li. Application of distributed genetic algorithm basedon migration strategy in image segmentation. In Proceedings of the Third International Conference onNatural Computation (ICNC 2007), volume ?, page ?, ?, ? 2007. IEEE, Piscataway, NJ. ga07aChangYao.

[735] C. Li, R. Liengsawangwong, H. Choi, and R. Cheung. Using a priori structural information from magneticresonance imaging to investigate the feasibility of prostate diffuse optical tomography and spectroscopy:a simulation study. Medical Physics, 34(1):266–274, ? 2007. †Google scholar ga07aCLi ⇒ http:

//ukpmc.ac.uk/abstract/MED/17278512.

[736] Jamshid Dehmeshki, X. Ye, X. Lin, M. C. Valdivieso, and H. Amin. Automated detection of lung nodules inCT images using shape-based genetic algorithm. Computerized Medical Imaging and Graphics, 31(6):408–417, ? 2007. †www /Google ga07aJDehmeshki.

[737] Jussi Tohka, Evgeny Krestyannikov, Ivo D. Dinov, Allan MacKenzie Graham, David W. Shattuck, UllaRuotsalainen, and Arthur W. Toga. Genetic algorithm for finite mixture model based voxel classificationin neuroimaging. IEEE Transactions on Medical Imaging, 26(5):696–711, May 2007. ga07aJussiTohka.

[738] Karl G. Baum, Evan Schmidt, Kimberly Rafferty, Maria Helguera, David H. Feiglin, and Andrzej Krol.Investigation of PET/MRI image fusion schemes for enchanced breast cancer diagnosis. In 2007 IEEENuclear Science Symposium Conference Record (NSS’07), volume 5, pages 3774–3780, ?, 26. October-3. November 2007. IEEE, Piscataway, NJ. ga07aKGBaum.

[739] Mohammed A. Alolfe, Abou-Bakr M. Youssef, and Yasser M. Kadah. Optimal design of selective excitationpulses in magnetic resonance imaging using genetic algorithms. International Journmal of Biological andLife Sciences, 3(2):129–141, ? 2007. ga07aMAAlolfe⇒ www.waset.org/journals/ijbls/v3/v3-2-19.pdf.

[740] Mohammed Al-Rawi and Huda Karajeh. Genetic algorithm matched filter optimization for automateddetection of blood vessels from digital retinal images. Computer Methods and Programs in Biomedicine,87(3):248–253, ? 2007. ga07aMAl-Rawi.

[741] Mahua Bhattacharya and Arpita Das. Multi resolution medical image registration using maximization ofmutual information & optimization by genetic algorithm. In IEEE Nuclear Science Symposium ConferenceRecord (NSS’07), volume 4, pages 2961–2964, ?, 25. October-3. November 2007. IEEE, Piscataway, NJ.ga07aMBhattacharya.

[742] Michael Hafner, Leonhard Brunauer, Hannes Payer, Robert Resch, Friedrich Wrba, Alfred Gangl, AndreasVecsei, and Andreas Uhl. Pit pattern classification of zoom-endoscopical colon images using DCT andFFT. In ?, editor, Proceedings of the 20th IEEE International Symposium on Computer-Based MedicalSystems, pages 159–164, ?, 20.-22. June 2007. IEEE Computer Society, Piscataway, NJ. ga07aMHafner.

[743] M. Karnan and K. Thangavel. Automatic detection of the breast border and nipple position on digitalmammograms using genetic algorithm for asymmetry approach to detection of microcalcifications. Com-puter Methods and Programs in Biomedicine, 87(?):12–20, ? 2007. ga07aMKarnan.

[744] Pradipta Maji, B. Chanda, M. K. Kundu, and Suman Dasgupta. Deformation correction in brain MRIusing mutual information and genetic algorithm. In Proceedings of the International Conference on Com-puting: Theory and Applications (ICCTA’07), pages 372–376, ?, 5.-7. March 2007. IEEE Computer Sociaty,Piscataway, NJ. ga07aPradiptaMaji.

http://ukpmc.ac.uk/abstract/MED/17278512

http://ukpmc.ac.uk/abstract/MED/17278512

www.waset.org/journals/ijbls/v3/v3-2-19.pdf

Bibliography 115

[745] Samy Ait-Aoudia and Ramdane Mahiou. Medical image registration by simulated annealing and geneticalgorithms. In Geometric Modeling and Imaging (GMAI’07), pages 145–148, ?, 4.-6. July 2007. IEEE,Piscataway, NJ. ga07aSAit-Aoudia.

[746] Shahzad Ahmad Qureshi, Sikander M. Mirza, and M. Arif. Fitness function evaluation for image recon-struction using binary genetic algorithm for parallel ray transmission tomography. International Journalof Computer Science and Network Security, 7(1):132–137, ? 2007. †www /Qureshi ga07aSAQureshi.

[747] Stephen Swift, Allan Tucker, Jason Crampton, and David Garway-Heath. An improved restricted growthfunctional genetic algorithm for the concensus clustering of retinal nerve fibre data. In ?, editor, Proceedingsof the Genetic and Evolutionary Computation Conference (GECCO 2007), volume ?, pages 2174–2181,London (UK), July 2007. ACM. ga07aStephenSwift.

[748] Yong Pang and Gary X. Shen. Improving excitation and inversion accuracy by optimized RF pulseusing genetic algorithm. Journal of Magnetic Resonance, 186(1):86–93, May 2007. ga07aYongPang ⇒http://www.ncbi.nlm.nih.gov/pubmed/17379555.

[749] Shahzad Ahmad Qureshi, Sikander M. Mirza, and M. Arif. A template based continuous genetic algorithmfor image reconstruction. In Proceedings of the 11th IEEE INMIC 2007, pages –, ?, ? 2007. IEEE,Piscataway, NJ. ga07bSAQureshi.

[750] Stephen L. Smith, Patrick Gaughan, David M. Halliday, Quan Ju, Nabil M. Aly, and Jeremy R. Playfer.Diagnosis of Parkinson’s disease using evolutionary algorithms. Genetic Programming and EvolvableMachines, 8(4):433–447, December 2007. ga07bSLSmith ⇒ http://www.springerlink.com/content/

d1124x226783n425/.

[751] Shahzad Ahmad Qureshi, Sikander M. Mirza, and M. Arif. Determination of optimal number of projectionsand parameter sensitivity analysis of operators for parallel-ray transmission tomography using hybridcontinuous genetic algorithm. International Journal of Imaging Systems and Technology, 17(1):10–21, ?2007. ga07cSAQureshi.

[752] Andrew Thomas Curtis and Christopher Kumar Anand. Random volumetric MRI trajectories via geneticalgorithms. International Journal of Biomedical Imaging, 2008(ID 297089):6, ? 2008. ga08aATCurtis ⇒http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2442457/.

[753] Boqiang Liu, Qingwei Yuan, Zhongguo Liu, Xiaomei Li, and Xiaohong Yin. Automatic segmentation ofintracranial hematoma and volume measurement. In Proceedings of the 30th Annual International IEEEEMBS Conference, volume ?, pages 1214–1217, Vancouver, BC, 20.-24. August 2008. IEEE, Piscataway,NJ. ga08aBoqiangLiu.

[754] Hua Cao. A Novel Automated Approach of Multi-Modality Retinal Image Registration and Fusion. PhDthesis, Louisiana State University, 2008. * ga08aHuaCao.

[755] Jinn-Yi Yeh and J. C. Fu. A hierarchical genetic algorithm for segmentation of multi-spectral human-brain MRI. Expert Systems with Applications, 34(2):1285–1295, February 2008. ga08aJinn-YiYeh ⇒linkinghub.elsevier.com/retrieve/pii/S0957417406004167.

[756] Karl G. Baum, Marıa Helguera, Evan Schmidt, Kimberly Rafferty, and Andrzej Krol. Evaluation of geneticalgorithm-generated multivariate color tables for the visualization of multimodal medical fused data sets.In Proceedings of the 2008 IEEE Nuclear Science Symposium Conference, volume ?, pages 4355–4360, ?, ?2008. IEEE, Piscataway, NJ. ga08aKarlGBaum.

[757] Omkar Dandekar, William Plishker, Shuvra S. Bhattacharyya, and Raj Shekhar. Multiobjective optimiza-tion for econfigurable implementation of medical image registration. International Journal of ReconfigurableComputing, 2008(ID 738174):17 pages, ? 2008. ga08aOmkarDandekar.

[758] Patrick Siarry, editor. Optimization in Signal and Image Processing. Wiley, Paris, 2008. †www /brochurega08aPSiarry.

[759] Petri Valisuo and Jarmo T. Alander. Evaluation of uniqueness and accuracy of the model parametersearch using GA. In Tapani Raiko, Pentti Haikonen, and Jaakko Vayrynen, editors, AI and MachineConsciousness, Proceedings of the 13th Finnish Artificial Intelligence Conference STeP 2008, pages 41–45,Espoo (Finland), 20.-22.August 2008. FAIS, Helsinki. ga08aPValisuo.

[760] Reza Karimi, Ting Zhu, Brett E. Bouma, and Mohammed R. Kaazempur Mofrad. Estimation of itnonlinearmechanical properties of vascular tissues via elastography. Cardiovascular Engineering, 8(4):191–202,December 2008. ga08aRezaKarimi.

[761] Samy Ait-Aoudia and Ramdane Mahiou. Evaluation of medical image registration by some meta-heuristics.In Proceedings of the 3rd International Symposium on Communications, Control and Signal Processing(ISCCSP’08), pages 107–110, Malta, 12.-14. March 2008. IEEE, Piscataway, NJ. ga08aSAit-Aoudia.

http://www.ncbi.nlm.nih.gov/pubmed/17379555

http://www.springerlink.com/content/d1124x226783n425/

http://www.springerlink.com/content/d1124x226783n425/

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2442457/

linkinghub.elsevier.com/retrieve/pii/S0957417406004167


[762] Shahzad Ahmad Qureshi, Sikander M. Mirza, and M. Arif. Optimization of projections for parallel-raytransmission tomography using genetic algorithm. In Wireless Networks, Information Processing andSystems International Multi Topic Conference, IMTIC 2008, Revised Selected PapersProceedings of the11th IEEE INMIC 2007, pages –, Jamshoro (Pakistan), 11.-12. April 2008. Springer-Verlag. * www/Springer ga08aSAQureshi.

[763] Song Wang and Atam P. Dhawan. Shape-based multi-spectral optical image reconstruction through ge-netic algorithm based optimization. Computerized Medical Imaging and Graphics, 32(?):429–441, ? 2008.ga08aSongWang.

[764] Susanne Winter, Bernhard Brendel, Ioannis Pechlivanis, Kirsten Schmieder, and Christian Igel. Reg-istration of CT and intraoperative 3-D ultrasound images of the spine using evolutionary andgradient-based methods. IEEE Transactions on Evolutionary Computation, 13(3):284–296, June 2008.ga08aSusanneWinter ⇒ http://ieeexplore.ieee.org/ielx5/4235/4531586/04387663.pdf.

[765] W. Li, H. Wang, and Z. Qian. [optimization approach to inverse problems in near-infrared optical tomog-raphy]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 25(2):264–269, April 2008. (in Chinese) †PubMedga08aWLi.

[766] Yanli Zhang, Dexin Xie, Baodong Bai, Hee Sung Yoon, and Chang Seop Koh. New development of mono-hedral magnet for MRI using the combination of genetic algorithm and FEM-NESM. IEEE Transactionson Magnetics, 44(6):1266–1269, June 2004. ga08aYanliZhang.

[767] Yingchun Zhong and Yi Zhang. Recognition study on positioning line transection of nerve slice image. InSecond International Symposium on Intelligent Information technology Application (IITA’08), volume 1,pages 413–417, ?, 20.-22. December 2008. IEEE Computer Society. ga08aYingchunZhong.

[768] Yi Zhang, Manning Wang, and Zhijian Song. Multi-step 3D/2D image registration for image-guided spinalsurgery. In International Conference on BioMedical Engineering and Informatics (BMEI’08), volume 2,pages 188–192, ?, 27.-30. May 2008. IEEE Computer Society. ga08aYiZhang.

[769] Yong Xia, Lingfeng Wen, Stefan Eberl, Michael Fulham, and Dagan Feng. Genetic algorithm-based PCAeigenvector selection and weighting for automated identification of dementia using FDG-PET imaging.In Proceedings of the 30th Annual International IEEE EMBS Conference, volume ?, pages 4812–4815,Vancouver, BC, 20.-24. August 2008. IEEE, Piscataway, NJ. ga08aYongXia ⇒ http://www.ncbi.nlm.

nih.gov/pubmed/19163793.

[770] Yong Yang and Shuying Huang. Retinal image mosaic base on genetic algorithm and automated bloodvessel extracting approach. In Proceedings of the 7th World Congress on Intelligent Control and Au-tomation, pages 7751–7756, Chongqing (China), 25.-27. June 2008. IEEE, Piscataway, NJ. (in Chinese)ga08aYongYang.

[771] Hua Cao, Bahram Khoobehi, and S. S. Iyengar. Automated optic nerve head image fusion of nonhu-man primate eyes using heuristic optimization algorithm. In Proceedings of the IEEE Symposium onComputational Intelligence in Bioinformatics and Computational Biology (CIBCB’08), pages 228–232, ?,15.-17. September 2008. IEEE, Piscataway, NJ. ga08bHuaCao.

[772] Omkar Dandekar, William Plishker, Shuvra S. Bhattacharyya, and Raj Shekhar. Multiobjective opti-mization of FPGA-based medical image registration. In Proceedings of the 16th Symposium on Field-Programmable Custom Computing Machines, pages 183–192, ?, ? 2008. IEEE Computer Society.ga08bOmkarDandekar.

[773] Amine Naıt-Ali and Patrick Siarry. Ch. 12, joint estimation of the dynamics and shape of physiologicalsignals through genetic algorithms. In Patrick Siarry, editor, Optimiation in Signal and Image Processing,pages 301–328. Wiley, Hoboken, NJ, 2009. ga09aAmineNait-Ali.

[774] Cuong To and Tuan D. Pham. Analysis of cardiac imaging data using decision tree based parallel geneticprogramming. In Proceedings of the 6th International Symposium on iMage and Signal Processing andAnalysis (ISPA09), volume ?, pages 317–320, ?, ? 2009. IEEE, Piscataway, NJ. ga09aCuongTo.

[775] Franck P. Vidal, Delphine Lazaro-Ponthus, Samuel Legoupil, Jean Louchet, Evelyne Lutton, and Jean-Marie Rocchisani. Artificial evolution for 3D PET reconstruction. In ?, editor, Proceedings of the 9thInternational Conference on Artificial Evolution (EA’09), page ?, Strasbourg (France), October 2009. ?ga09aFranckPVidal.

[776] Johann Dreo, Jean-Claude Nunes, and Patrick Siarry. Ch. 11, metaheuristics for continuous variables.the registration of retinal angiogram images. In Patrick Siarry, editor, Optimiation in Signal and ImageProcessing, pages 269–299. Wiley, Hoboken, NJ, 2009. ga09aJohannDreo.

http://ieeexplore.ieee.org/ielx5/4235/4531586/04387663.pdf



Bibliography 117

[777] Manish Kakar and Dag Rune Olsen. Automatic segmentation and recognition of lungs and lesion from CTscans of thorax. Computerized Medical Imaging and Graphics, 33(?):72–82, ? 2009. ga09aManishKakar.

[778] Ming-Hung Kao, Abhyuday Mandal, and John Stufken. Efficient designs for event-related functionalmagnetic resonance imaging with multiple scanning sessions. Communications in Statistics - Theory andMethods, 38(16&17):3170–3182, January 2009. * www /Google ga09aMing-HungKao ⇒ http://www.

informaworld.com/smpp/content∼content=a914064542&db=all.

[779] M. Sumathi, Murali C. Krishna, and R. Murugesan. GA-based optimization of tapering windows forartifact reduction in Fourier electron magnetic resonance images. International Journal of ComputationalIntelligence and Applications, 8(2):111–125, ? 2009. * www /Google ga09aMSumathi ⇒ http://www.

worldscinet.com/ijcia/08/0802/S1469026809002503.html.

[780] Naima Kaabouch, Yi Chen, Julie Anderson, Forrest Ames, and Rolf Paulson. Asymmetry analysisbased on genetic algorithms for the prediction of foot ulcers. In Katy Borner and Jinah Park, edi-tors, Electronic Imaging, Visualization and Data Analysis 2009, volume SPIE-7243, page 724304, ?, ?2009. The International Society for Optical Engineering, Bellingham, WA. ga09aNaimaKaaboucha ⇒144.206.159.178/ft/CONF/16427701/16427704.pdf.

[781] Shyam P. Kodali, Kalyanmoy Deb, Sunith Bandaru, Prabhat Munshi, and N. N. Kishore. Simulationstudies on a genetic algorithm based tomographic reconstruction using time-of-flight data from ultrasoundtransmission tomography. In ?, editor, Proceedings of the 9th International Conference on Adaptive andNatural Computing Algorithms ICANNGA’09, volume ?, pages 253–262, Jyvaskyla (Finland), ? 2009.Springer-Verlag, Berlin. †ACM ga09aShyamPKodali ⇒ http://dl.acm.org/citation.cfm?id=1813767.

[782] Takeshi Inaba, Lifeng He, Kenji Suzuki, Kazuhito Murakami, and Yuyan Chao. A genetic-algorithm-basedtemporal subtraction for chest radiographs. Journal of Advanced Computational Intelligence and IntelligentInformatics, 13(3):289–, 20. May 2009. ga09aTakeshiInaba.

[783] Ujjwal Maulik. Medical image segmentation using genetic algorithms. IEEE Transactions on InformationTechnology in Biomedicine, 13(2):166–173, March 2009. ga09aUjjwalMaulik ⇒ .

[784] V. T. Ingole, C. N. Deshmukh, Anjali Joshi, and Deepak Shete. Medical image registration using geneticalgorithm. In Proceedings of the Second International Conference on Emerging Trends in Engineering andTechnology, ICETET-09, volume ?, pages 63–66, ?, ? 2009. IEEE, Piscataway, NJ. ga09aVTIngole ⇒http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5395423.

[785] Wei Ying, Chang Cunxi, Jia Tong, and Xu Xinhe. Segmentation of regions of interest in lung CT im-ages based on 2-D OTSU optimized by genetic algorithm. In Proceedings of the 2009 Chinese Controland Decision Conference (CCDC 2009), volume ?, pages 5185–5189, ?, ? 2009. IEEE, Piscataway, NJ.ga09aWeiYing.

[786] Xiujie Zhang, Yi Shen, and Shiyong Li. A hybrid genetic algorithm for medical image registration withdownhill simplex method. In Proceedings of the 2009 IEEE Youth Conference on Information, Computingand Telecommunication, YC-ICT’09, pages 291–294, ?, 20.-21. September 2009. IEEE, Piscataway, NJ.ga09aXiujieZhang ⇒ http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5372311.

[787] Franck P. Vidal, Delphine Lazaro-Ponthus, Samuel Legoupil, Jean Louchet, Evelyne Lutton, and Jean-Marie Rocchisani. PET reconstruction using a cooperative coevolution strategy. In ?, editor, Pro-ceedings of the IEEE Medical Imaging Conference 2009, page ?, Orlando, FL, October 2009. IEEE.ga09bFranckPVidal.

[788] Naima Kaabouch, Yi Chen, Wen-Chen Hu, Julie Anderson, Forrest Ames, and Rolf Paulson. Early de-tection of foot ulcers through asymmetry analysis. In Xiaoping P. Hu and Anne V. Clough, editors,Medical Imaging 2009: Biomedical Applications in Molecular, and Fuctional Imaging, volume SPIE-7262, page 72621L, ?, ? 2009. The International Society for Optical Engineering, Bellingham, WA.ga09bNaimaKaaboucha ⇒ .

[789] Pierre Collet, Pierrick Legrand, Claire Bourgeois-Republique, Vincent Pean, and Bruno Frachet. Ch. 13,using interactive evolutionary algorithms to help fit cochlear implants. In Patrick Siarry, editor, Optimia-tion in Signal and Image Processing, pages 329–356. Wiley, Hoboken, NJ, 2009. ga09bPierreCollet.

[790] Ahmed Afifi, Toshiya Nakaguchi, Norimichi Tsumura, and Yoichi Miyake. Particle swarm optimiza-tion based medical image segmentation technique. Medical Imaging Technology, 28(1):53–62, ? 2010.ga10aAhmedAfifi ⇒ http://www.mi.tj.chiba-u.jp/∼tsumura/Tsumura/papers/JAMITI2010afifi.pdf.

[791] Dario A. B. Oliveira. Genetic adaptation of Gaussian mixture estimation for nodules and vessels seg-mentation inside the liver. Revista ICA 5, Departamento de Engenharia Eltrica, Pontifcia UniversidadeCatlica do Rio de Janeiro - PUC-Rio, 2010. ga10aDarioABOliveira ⇒ http://rica.ele.puc-rio.br/

cgi/cgilua.exe/sys/start.htm?infoid=76&sid=17.

http://www.informaworld.com/smpp/content~content=a914064542&db=all

http://www.informaworld.com/smpp/content~content=a914064542&db=all

http://www.worldscinet.com/ijcia/08/0802/S1469026809002503.html

http://www.worldscinet.com/ijcia/08/0802/S1469026809002503.html

144.206.159.178/ft/CONF/16427701/16427704.pdf

http://dl.acm.org/citation.cfm?id=1813767


http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5372311

http://www.mi.tj.chiba-u.jp/~tsumura/Tsumura/papers/JAMITI2010afifi.pdf

http://rica.ele.puc-rio.br/cgi/cgilua.exe/sys/start.htm?infoid=76&sid=17

http://rica.ele.puc-rio.br/cgi/cgilua.exe/sys/start.htm?infoid=76&sid=17


[792] Min S. H. Aung, John Y. Goulermas, Shaheen Hamdy, and Maxine Power. Spatiotemporal visualizations forthe measurement of oropharyngeal transit time from videofluoroscopy. IEEE Transactions on BiomedicalEngineering, 57(2):432–441, February 2010. ga10aMinSHAung ⇒ http://ieeexplore.ieee.org/stamp/

stamp.jsp?tp=&arnumber=4814700.

[793] Naima Kaabouch, Yi Chen, Wen-Chen Hu, Julie Anderson, Forrest Ames, and Rolf Paulson. Pre-dicting neuropathic ulceration: analysis of static temperature distributions in thermal images. Jour-nal of Biomedical Optics, 15(6):061715, November/December 2010. ga10aNaimaKaaboucha ⇒ http:

//www.ncbi.nlm.nih.gov/pubmed/21198163.

[794] Vitoantonia Bevilacqua, Guiseppe Mastronardi, and Alessandro Piazzolla. An evolutionary method formodel-based automatic segmentation of lower abdomen CT images for radiotherapy planning. In C. DiChic,C. Cotta, and M. Ebne et al, editors, Applications of Evolutionary Computation, PT 1, Proceedings, volumeLNCS-6024, pages 320–327, Istanbul (Turkey), 7.-9. April 2010. Springer. * ISI ga10aVBevilacqua.

[795] Xiaosheng Huang and Fang Zhang. Multi-modal medical image registration based on gradient of mutualinformation and morphological Haar wavelet. In Proceedings of the 2010 International Conference on e-Education, e-Business, e-Management and e-Learning, volume ?, pages 39–42, ?, ? 2010. IEEE, Piscataway,NJ. ga10aXiaoshengHuang ⇒ http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=

5432388.

[796] Yujung Kang, Jungsul Lee, Kihwan Kwon, and Chulhee Choi. Assessment of peripheral tissue perfusion byoptical dynamic fluorescence imaging and nonlinear regression modeling. In Nikoforos Kollias et al, editor,Photonic Therapeutics and Diagnostics VI, volume SPIE-7548, pages 7548L–75483L–13–, ?, ? 2010. TheInternational Society for Optical Engineering, Bellingham, WA. * SPIE ga10aYujungKang ⇒ http:

//adsabs.harvard.edu/abs/2010SPIE.7548E..70K.

[797] Arpita Das and Mahua Bhattacharya. Affine-based registration of CT and MR modality images of hu-man brain using multiresolution approaches: comparative study on genetic algorithm and particle swarmoptimization. Neural Computing & Applications, 20(2):223–237, March 2011. * ISI ga11aArpitaDas ⇒http://www.springerlink.com/content/q43778p0v8m54602/.

[798] Dario A. B. Oliveira, Raul Q. Feitosa, and Mauro M. Correia. Segmentation of liver, its ves-sels and lesions from CT images for surgical planning. BioMedical Engineering OnLine, 10(?),? 2010. ga11aDarioABOliveira ⇒ http://www.biomedical-engineering-online.com/content/pdf/

1475-925X-10-30.pdf.

[799] Hua Cao, Nathan Brener, Bahram Khoobehi, and S. Sitharama Iyengar. High performanceadaptive fidelity algorithms for multi-modality optic nerve head image fusion. Journal ofSignal Processing Systems for Signal Image and Video Technology, 64(3):375–387, September2011. ga11aHuaCao ⇒ http://apps.webofknowledge.com/full record.do?product=WOS&search mode=

AdvancedSearch&qid=10&SID=N1c2iL8oMgGaJhc@Fa@&page=1&doc=3.

[800] Jose Santamarıa, Oscar Cordon, and Sergio Damas. A comparative study of state-of-the-art evolutionaryimage registration methods for 3D modeling.

[801] Mahua Bhattacharya and Arpita Das. Multimodality medical image registration and fusion techniquesusing mutual information and genetic algorithm-based approaches. In H. R. Arabnia and Q. N. Tran,editors, Proceedings of the International Conference on Software Tools and Algorithms for BiologicalSystems, volume 696 of Advances in Experimental Medicine and Biology, pages 441–449, ?, ? 2011.Springer. * ISI ga11aMahuaBhattacharya ⇒ http://apps.webofknowledge.com/full record.do?

product=WOS&search mode=AdvancedSearch&qid=10&SID=N1c2iL8oMgGaJhc@Fa@&page=1&doc=8.

[802] Naima Kaabouch, Wen-Chen Hu, and Yi Chen. Alternative technique to asymmetry analysis-based over-lapping for foot ulcer examination: Scalable scanning. Diabetes & Metabolism, ?(?):?, ? 2011. (open acessjournal) ga11aNaimaKaaboucha ⇒ www.omicsonline.org/2155-6156/2155-6156-S5-003.pdf.

[803] Petri Valisuo. Photonics Simulation and Modelling of Skin for Design of Spectrocutometer. PhD thesis, Uni-versity of Vaasa, Department of Electrical Engineering and Energy Technology, 2011. ga11aPetriValisuo⇒ http://www.uwasa.fi/ajankohtaista/uutisia/valisuo/.

[804] P. K. Srivathsa. Knowledge discovery in medical mining by using genetic algorithms and artificial neuralnetworks. In R. B. Patel and B. P. Singh, editors, Proceedings of the 2nd International Conference onMethods and Models in Science and Technology (ICM2ST-11), pages –, Jaipur (India), 11. -20. November2011. †ISI ga11aPKSrivathsa ⇒ .

[805] Sarfraz Ahmed Malik, Rakesh Singh Kunwar, and M. Ehtashamoul Haque. Automatic image regis-tration using evolutionary algorithm. Recent Research in Science and Technology, 4(1):33–39, ? 2011.ga11aSAMalik ⇒ http://recent-science.com/index.php/rrst/article/viewFile/10589/5365.





http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5432388

http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5432388

http://adsabs.harvard.edu/abs/2010SPIE.7548E..70K

http://adsabs.harvard.edu/abs/2010SPIE.7548E..70K

http://www.springerlink.com/content/q43778p0v8m54602/

http://www.biomedical-engineering-online.com/content/pdf/1475-925X-10-30.pdf

http://www.biomedical-engineering-online.com/content/pdf/1475-925X-10-30.pdf

http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=AdvancedSearch&qid=10&SID=N1c2iL8oMgGaJhc@Fa@&page=1&doc=3




www.omicsonline.org/2155-6156/2155-6156-S5-003.pdf

http://www.uwasa.fi/ajankohtaista/uutisia/valisuo/

http://recent-science.com/index.php/rrst/article/viewFile/10589/5365

Bibliography 119

[806] Sergio Damas, Oscar Gordon, and Jose Santamarıa. Medical image registration using evolutionary compu-tation: An experimental survey. IEEE Computational Intelligence Magazine, 6(4):26–42, November 2011.ga11aSDamas ⇒ http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6052370.

[807] Brian D’Alessandro and Atam P. Dhawan. 3D volume reconstruction of skin lesions for melanin and bloodvolume estimation and lesion severity analysis. IEEE Transactions on Medical Imaging, 31(11):2083–2092,November 2012. ga12aBDAlessandro ⇒ http://ieeexplore.ieee.org/xpls/abs all.jsp?arnumber=

6243210&tag=1.

[808] Ching-Lin Wang, Chuin-Mu Wang, Yung-Kuan Chan, and Rong-Tai Chen. Image-quality figure evaluatorbased on contrast-detail phantom in radiography. International Journal of Medical Robotics and Com-puter Assisted Surgery, 8(2):169–177, June 2012. ga12aChing-LinWang ⇒ http://www.ncbi.nlm.nih.

gov/pubmed/22213357.

[809] Chin Wei Bong, Hong Yoong Lam, Ahamad Tajudin Khader, and Hamzah Kamarulzaman. Adaptive multi-objective archive-based hybrid scatter search for segmentation in lung computed tomography imaging.Engineering Optimization, 44(3):327–350, ? 2012. * ISI ga12aChinWeiBong⇒ http://www.tandfonline.

com/doi/abs/10.1080/0305215X.2011.639369.

[810] Feng Yang and Kuang Fu. Medical images registration based on gradient mutual information and im-proved genetic algorithm. In ?, editor, Proceedings of the 2012 International Conference on Commu-nication Systems and Network Technologies, pages –, Rajkot (Gujarat India), 11.-13. May 2012. IEEE.†Google IEEE ga12aFengYang ⇒ http://www.computer.org/csdl/proceedings/csnt/2012/4692/00/

4692a250-abs.html.

[811] Franck P. Vidal, Pierre-Frederic Villard, and Evelyne Lutton. Tuning of patient-specific deformable modelsusing an adaptive evolutionary optimization strategy. IEEE Transactions on Biomedical Engineering,59(10):2942–2949, October 2012. ga12aFPVidal ⇒ http://ieeexplore.ieee.org/xpl/articleDetails.

jsp?arnumber=6269065.

[812] Kerry A. Seitz, Jr., Anne-Marie Giuca, Jacob Furst, and Daniela Raicu. Learning lung nodule similarityusing a genetic algorithm. In B. Van Ginneken and C. L. Novak, editors, Medical Imaging 2012: Computer-Aided Diagnosis, volume SPIE-8315, pages 831537–, ?, ? 2012. The International Society for OpticalEngineering, Bellingham, WA. ga12aKerryASeitz ⇒ http://spiedigitallibrary.org/proceedings/

resource/2/psisdg/8315/1/831537 1.

[813] Martina Marinelli, Vincenzo Positano, Francesco Tucci, Danilo Neglia, and Luigi Landini. AutomaticPET-CT image registration method based on mutual information and genetic algorithms. The ScientificWorld Journal, 2012(?):–, ? 2012. ga12aMartinaMarinelli ⇒ http://www.tswj.com/2012/567067/.

[814] Rucha R. Thakur, Swati R. Dixit, and A. Y. Deshmukh. VHDL design for image segmentation us-ing Gabor filter for disease detection. International Journal of VLSI Design & Communication Systems(VLSICS), 3(2):211–219, ? 2012. ga12aRuchaRThakur ⇒ http://airccse.org/journal/vlsi/papers/

3212vlsics18.pdf.

[815] Xingwei Wang, Xiaofei Song, Brian E. Chapman, and Bin Zheng. Improving performance of computer-aided detection of pulmonary embolisms by incorporating a new pulmonary vascular-tree segmentationalgorithm. In B. Van Ginneken and C. L. Novak, editors, Medical Imaging 2012: Computer-Aided Di-agnosis, volume SPIE-8315, pages 83152U–, ?, ? 2012. The International Society for Optical Engineer-ing, Bellingham, WA. ga12aXingweiWang ⇒ http://spiedigitallibrary.org/proceedings/resource/

2/psisdg/8315/1/83152U 1.

[816] Yutana Jewajinda and Prabhas Chongstitvatana. A parallel genetic algorithm for adaptive hardware andits application to ECG signal classification. Neural Computing & Applications, 22(7).

[817] Yung-Nien Sun, Jiann-Jone Chen, Xi-Zhang Lin, and Chi-Wu Mao. New method for constructing 3-Dliver from CT images. In Kou-Hu Tzou and Toshio KOga, editors, Visual Communications and ImageProcessing ’91, volume SPIE-1606, pages 653–664, ?, November 1991. The International Society for OpticalEngineering. * www/SPIE Web ga91aY-NSun.

[818] Salah Darenfed. Genetic connectionism for computer tomographic reconstructions. In Raj S. Acharyaand Dmitry B. Goldgof, editors, Biomedical Image Processing and Biomedical Visualization, volume SPIE-1905, pages 987–996, ?, July 1993. The International Society for Optical Engineering. * www/SPIE Webga93aSDarenfed.

[819] Richard Comely and Walter S. Kuklinski. Applications of genetic optimization to medical image seg-mentation. In Proceedings of the 1994 20th Annual Northeast Bioengineering Conference, pages 76–79,Springfield, MA, 17.-18. March 1994. IEEE, New York. * CCA 64048 ga94aCornely.


http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6243210&tag=1




http://www.tandfonline.com/doi/abs/10.1080/0305215X.2011.639369

http://www.tandfonline.com/doi/abs/10.1080/0305215X.2011.639369

http://www.computer.org/csdl/proceedings/csnt/2012/4692/00/4692a250-abs.html

http://www.computer.org/csdl/proceedings/csnt/2012/4692/00/4692a250-abs.html

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6269065

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6269065



http://www.tswj.com/2012/567067/

http://airccse.org/journal/vlsi/papers/3212vlsics18.pdf

http://airccse.org/journal/vlsi/papers/3212vlsics18.pdf

http://spiedigitallibrary.org/proceedings/resource/2/psisdg/8315/1/83152U_1

http://spiedigitallibrary.org/proceedings/resource/2/psisdg/8315/1/83152U_1


[820] Sven Loncaric and Atam P. Dhawan. 3-D brain image registration using optimal morphological processingand iterative principal axis transform. In Proceedings of the 16th Annual International Conference of theIEEE Engineering in Medicine and Biology Society, volume 1, pages 692–693, ?, 3.-6. November 1994.IEEE, Piscataway, NJ. ga94aSLoncaric.

[821] Konstantinos K. Delibasis and Peter E. Undrill. Genetic algorithms and deformable geometric models foranatomical object recognition. In Proceedings of the IEE Colloquium on ‘Genetic Algorithms in ImageProcessing and Vision’, volume ?, pages 8/1–8/7, London, UK, 20. October 1994. IEE, London, UK.†CCA724/95 ga94bDelibasi.

[822] K. Matsui, M. Sase, and Y. Kosugi. Medical image mapping using collaborative genetic algorithm. InProceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biol-ogy Society, volume 1, pages 612–613, Baltimore, MD, 3.-6. November 1994. IEEE, New York, NY. *EEA70793/95 ga94bMatsui.

[823] B. J. Fisher, N. Dillon, T. A. Carpenter, and L. D. Hall. Design by genetic algorithm of a z gradient setfor magnetic resonance imaging of the human brain. Measurement Science & Technology, 6(7):904–909,July 1995. ga95aBJFisher.

[824] Graeme Faulkner and Habib Talhami. Using “biological” genetic algorithms to solve the travelling sales-man problem with applications in medical image processing. In ICEC’95 [1653], pages 707–712. †prog.ga95aFaulkner.

[825] Jaime J. Fernandez. Myoelectric signal recognition using genetic programming. Master’s thesis, RiceUniversity, MEMS Department, 1995. †[1661] ga95aFernandez.

[826] Hiroshi Fujita, Tokiko Endo, Tomoko Matsubara, Kenichi Hirako, Takeshi Hara, Hitoshi Ueda, TasuhiroTorisu, Nader Riyahi-Alam, Katsuhei Horita, Choichiro Kido, and Takeo Ishigaki. Automated detectionof masses and clustered microcalcifications on mammograms. In Murray H. Loew, editor, Medical Imaging1995: Image Processing, volume SPIE-2434, pages 682–692, ?, May 1995. The International Society forOptical Engineering. * www/SPIE Web ga95aHFujita.

[827] F. Kruggel and P. Bartenstein. Automatical registration of brain volume data sets. In Yves Bizais, ChristianBarillot, and Robert Di Paola, editors, Proceedings of the 14th International Conference on InformationProcessing in Medical Imaging (IPMI 95), page ?, Brest (France), June 1995. Kluwer Academic Publishers,Dordrecht, The Netherlands. †prog. ga95aKruggel.

[828] A. Kutics. A new evolutionary approach for blood vessel detection on a transputer network. In ?, editor,Proceedings of the 2nd Asian Conference on Computer Vision (ACCV’95), volume 1, pages 106–110,Singapore, 5.-8. December 1995. Nanyang Technol. Univ., Singapore. * CCA 75624/96 ga95aKutics.

[829] Milan Sonka, Satish Kumar Tadikonda, and Steve M. Collins. Knowledge based interpretation of MRbrain images. In Yves Bizais, Christian Barillot, and Robert Di Paola, editors, Proceedings of the 14thInternational Conference on Information Processing in Medical Imaging (IPMI 95), page ?, Brest (France),June 1995. Kluwer Academic Publishers, Dordrecht, The Netherlands. †prog. ga95aSonka.

[830] Lei Zhang, Lisong Wang, Yuwen Zang, H. Seki, and H. Itoh. On rule checking and learning in an an-cupuncture diagnosis fuzzy expert system by genetic algorithm. In Proceedings of the International JointConference of the Fourth IEEE International Conference on Fuzzy Systems and The Second InternationalFuzzy Engineering Symposium, volume 2, pages 455–460, Yokohama (Japan), 20.-24. March 1995. IEEE,New York, NY. †CCA66657/95 ga95bLZhang.

[831] Xin Yao and Yong Liu. Evolving neural networks for medical applications. In Proceedings of the 1st Korea- Australia Joint Workshop on Evolutionary Computation, pages 1–16, Taejon (Korea), 26.-29. September1995. The Korea Science Engineering Foundation, The Australian Academy of Science, The AustralianAcademy of Technological Sciences and Engineering, KAIST, Korea. ga95eXYao.

[832] Andrea Kutics. Evolution of gray-scale morphology structures for the extraction of medical objects. In An-drew G. Tescher, editor, Applications of Digital Image Processing XIX, volume SPIE-2847, pages 593–602,?, November 1996. The International Society for Optical Engineering. * www/SPIE Web ga96aAKutics.

[833] B. J. Fisher, N. Dillon, A. A. Wilkinson, T. A. Carpenter, and L. D. Hall. Design and evaluation ofa transverse gradient set for magnetic resonance imaging of the human brain. Measurement Science &Technology, 7(5):838–843, May 1996. ga96aBJFisher.

[834] C. A. Czarnecki, T. Routen, and J. Weistra. Matching images for radiotherapy verification using ge-netic algorithms. In Proceedings of the 1996 8th Mediterranean Electrotechnical Conference (MELE-CON’96), volume 2, pages 1075–1078, Bari (Italy), 13.-16. May 1996. IEEE, New York. * EI M015350/97ga96aCzarnecki.

Bibliography 121

[835] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Genetic algorithm implementationof stack filter design for image restoration. IEE Proceedings, Vision, Image, Signal Processing, 3(143):177–183, July 1996. (http://www.biomed.abdn.ac.uk/Research/Computing/Online/) ga96aDelibasis.

[836] Atam P. Dhawan, Yateen Chitre, Christine Kaiser-Bonasso, and Myron Moskowitz. Analysis of mam-mographic microcalcifications using gray-level image structure features. IEEE Transactions on MedicalImaging, 15(3):246–259, June 1996. ga96aDhawan.

[837] H. F. Gray, R. J. Maxwell, I. Martinez-Perez, C. Arus, and S. Cerdan. Genetic programming for classifica-tion of magnetic resonance data. In Koza et al. [1662], page 424. * CCA 51474/97 conf.prog ga96aGray.

[838] Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Kwok L. Lam, and Mark A. Helvie. Effects of pixelsize on classification of microcalcification on digitized mammograms. In Murray H. Loew and Kenneth M.Hanson, editors, Medical Imaging 1996: Image Processing, volume SPIE-2710, pages 30–41, ?, April 1996.The International Society for Optical Engineering. * www/SPIE Web ga96aH-PChan.

[839] Jiann-Der Lee. Genetic approach to select wavelet features for contour extraction in medical ultrasonicimaging. IEEE Eng. Med. Biol., 15(6):93–101, November-December 1996. * EI M045586/97 ga96aJ-DLee.

[840] Kuo-Sheng Cheng, Bae-Horng Chen, and Han-Seng Tong. Electrical impedance image reconstructionusing the genetic algorithm. In Proceedings of the 18th Annual International Conference of the IEEEEngineering in Medicine and Biology Society, volume 2, pages 768–769, Amsterdam (The Netherlands),31. October-3. November 1996. IEEE, New York, NY. ga96aKuoCheng.

[841] M. Kupinski, M. L. Giger, and K. Doi. Optimization of neural-network inputs with genetic algorithms. InDigital Mammography ’96, pages 401–404, 1996. †P74190 ga96aKupinski.

[842] D. McNay, Eric Michielssen, R. L. Rogers, F. A. Taylor, M. Akhtari, and W. W. Sutherling. Multiplesource localization using genetic algorithms. Journal of Neuroscience Techniques, 64(?):163–172, February1996. †Johnson/bib [1663] ga96aMcNay.

[843] Alejandro Pazos, Julian Dorado, and Antonino Santos. Detection of patterns in radiographs using ANNdesigned and trained with the genetic algorithm. In Koza et al. [1662], page ? †conf.prog ga96aPazos.

[844] Robert P. Velthuizen, Lawrence O. Hall, and Laurence P. Clarke. Novel approach to feature extractionfor MIR segmentation. In Murray H. Loew and Kenneth M. Hanson, editors, Medical Imaging 1996:Image Processing, volume SPIE-2710, pages 222–231, ?, April 1996. The International Society for OpticalEngineering. * www/SPIE Web ga96aRPVelthuizen.

[845] Berkman Sahiner, Heang-Ping Chan, Datong Wei, Nicholas Petrick, Mark A. Helvie, Dorit D. Adler, andMichell M. Goodsitt. Image feature selection by a genetic algorithm: Application to classification of massand normal breast tissue. Medical Physics, 23(10):1671–1684, ? 1996. * BA 170822/96 ga96aSahiner.

[846] Milan Sonka, Satish K. Tadikonda, and Steve M. Collins. Knowledge-based interpretation of MR brainimages. IEEE Transactions on Medical Imaging, 15(4):443–452, August 1996. ga96aSonka.

[847] Zensho Nakao, Midori Takashibu, and Yen-Wei Chen. Evolutionary CT image reconstruction by image par-titioning. In ?, editor, Proceedings of the First Asia-Pacific Conference Simulated Evolution and Learning,pages 81–88, Taejon (Korea), 9.-12. November 1996. Springer-Verlag, Berlin (Germany). †EEA102844/97ga96aZenNakao.

[848] Andrea Kutics. Evolutionary algorithm for automatic detection of blood vessel shapes. In Murray H.Loew and Kenneth M. Hanson, editors, Medical Imaging 1996: Image Processing, volume SPIE-2710,pages 743–751, ?, April 1996. The International Society for Optical Engineering. * www/SPIE Webga96bAKutics.

[849] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Genetic algorithms applied to fourierdescriptor based geometric-models for anatomical object recognition in medical images. In K. M. HansonM. H. Loew, editor, ETSI konferenssi, volume SPIE-2710, page ?, Newport Beach, CA, 12.-15. February1996. SPIE - Int. Soc. Optical Engineering, Bellingham. †P68352 ga96bDelibasis.

[850] C. E. Floyd, G. D. Tourassi, and J. A. Baker. Use of genetic algorithms for computer-aided diagnosisof breast cancers from image features. In K. M. Hanson M. H. Loew, editor, ETSI konferenssi, volumeSPIE-2710, page ?, Newport Beach, CA, 12.-15. February 1996. SPIE - Int. Soc. Optical Engineering,Bellingham. †P68352 ga96bFloyd.

[851] Jiann-Der Lee. Genetic approach to select wavelet features for contour extraction in medical ultrasonicimaging. Electronics Letters, 32(23):2137–2138, 1996. ga96bJ-DLee.

[852] Riccardo Poli. Genetic programming for feature detection and image segmentation. In Terence C. Fogarty?,editor, Evolutionary Computing, Proceedings of the AISB96 Workshop, pages 149–164, Brighton, UK, 1.-2. April 1996. Springer-Verlag, Berlin (Germany). ga96bPoli.

http://www.biomed.abdn.ac.uk/Research/Computing/Online/


[853] Yen-Wei Chen, Zensho Nakao, Kouichi Arakaki, Ikuo Nakamura, and Shinichi Tamura. Reconstruction ofneutron penumbral images by a constrained genetic algorithm. In Proceedings of the 13th InternationalConference on Pattern Recognition, volume IV, pages 525–529, Vienna (Austria), 25.-29. August 1996.IEEE Computer Society Press, Los Alamitos, CA. ga96bY-WChen.

[854] B. J. Fisher, N. Dillon, T. A. Carpenter, and L. D. Hall. Design of a biplanar gradient coil using a geneticalgorithm. Magnetic Resonance Imaging, 15(3):369–376, 1997. ga97aBJFisher.

[855] Bruno Marchesi, Alvaro Luis Stelle, and Heitor Silverio Lopez. Detection of epileptic events using geneticprogramming. In Proceedings of the 1997 IEEE/EMBS Conference, volume ?, pages 1198–1201, Chicago,IL, 30. October-2. November 1997. IEEE, Piscataway, NJ. ga97aBrunoMarchesi ⇒ http://ieeexplore.

ieee.org/stamp/stamp.jsp?tp=&arnumber=75657.

[856] S. Cadieux, N. Tanizaki, and T. Okamura. Time efficient and robust 3-D brain image centering and realign-ment using hybrid genetic algorithm. In Proceedings of the 36th SICE Annual Conference on InternationalSession Papers, pages 1279–1284, Tokushima, Japan, 29.-31. July 1997. Soc. Instrum & Control Eng. 1995,Tokyo, Japan. †EEA114451/98 ga97aCadieux.

[857] Jerzy Cytowski. An application of a genetic algorithm to edge detection. In Osmera [1647], pages 38–43.ga97aCytowski.

[858] C. Y. Wu, O. Tsujii, M. T. Freedman, and S. K. Mun. Image feature analysis for classification of micro-calfications in digital mammography - neural networks and genetic algorithms. In K. M. Hansen, editor,Proceedings of, volume SPIE-3034, pages 501–509, Newport Beach, CA, 25.-28. February 1997. SPIE –The International Society for Optical Engineering, Bellingham. †P75417 ga97aCYWu.

[859] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Designing texture filters withgenetic algorithms: An application to medical images. Signal Processing, 57(1):19–33, February 1997.†EEA 79304/97 EI M182403/98 ga97aDelibasis.

[860] Matthew A. Kupinski and Maryellen L. Giger. Feature selection and classifiers for the computerized detec-tion of mass lesions in digital mammography. In Proceedings of the 1997 IEEE International Conferenceon Neural Networks, volume 4, pages 2460–2463, Houston, TX, 9.-12. June 1997. IEEE, Piscataway, NJ.†EI M177917/97 ga97aKupinski.

[861] Mohamed N. Ahmed, Sameh M. Yamany, E. Hemayed, S. Ahmed, S. Roberts, and Aly A. Farag. 3Dreconstruction of the human jaw from a sequence of images. In Proceedings of the 1997 IEEE InternationalConference on Computer Vision and Pattern Recognition, pages 646–653, San Juan, PR, 17.-19. June 1997.IEEE Computer Society Press, Los Alamitos, CA. * EI M159938/97 ga97aMAhmed.

[862] Ursula Rost and Peter Oechtering. Knowledge-based genetic learning. In Gosta Grahne, editor, Proceedingsof the Sixth Scandinavian Conference on Artificial Intelligence, pages 107–118, Helsinki (Finland), 18.-20. August 1997. IOS Press. (ftp://ftp.uwasa.fics/3NWGA/Rost.ps.Z) ga97aRost.

[863] Sameh M. Yamany, K. J. Khiani, and Aly A. Farag. Application of neural networks and genetic algorithmsin the classification of endothelian cells. Pattern Recognition Letters, 18(11-13):1205–1210, November 1997.†toc ga97aSMYamany.

[864] Wen Nian, K. Okazaki, K. Taniguchi, and S. Tamura. Countour extraction of renal glomeruli by GA. Med.Imaging Technol. (Japan), 15(6):725–733, 1997. In Japanese †CCA15867/98 ga97aWenNian.

[865] Yen-Wei Chen, Zensho Nakao, and Kouichi Arakaki. Genetic algorithms applied to neutron penumbralimaging. Opt. Rev. (Japan), 4(1B):209–215, 1997. †EEA66708/97 ga97aY-WChen.

[866] Yan Yu, M. C. Schell, and B. Y. Zhang. Decision theoretic steering and genetic algorithm optimization:application to stereotactic radiosurgery treatment planning. Medical Physics, 24(11):1742–1750, 1997.†PA7034/98 ga97aYanYu.

[867] Yongbum Lee, T. Hara, H. Fujita, S. Itoh, and T. Ishigaki. Nodule detection on chest helical CT scans by us-ing a genetic algorithm. In Proceedings of the Intelligent Information Systems, pages 67–70, Grand BahamaIsland, Bahamas, 8.-10. December 1997. IEEE, Los Alamitos, CA. †CCA16085/98 ga97aYongbumLee.

[868] Zhiyue Liu, Hualou Liang, J. D. Z. Chen, and R. W. McCallum. Application of combined genetic algorithmswith cascade correlation to diagnosis of delayed gastric emptying from electrogastrograms. In Proceedingof the 1997 Annual International Conference of the IEEE Engineering in Medicine and Biology Society,volume 3, pages 1355–1358, Chicago, IL, USA, 30. October-2. November 1997. IEEE, Piscataway, NJ. *www/IEEE ga97aZLiu.

[869] Zensho Nakao, Midori Takashibu, Fath El Alem Fadlallah Ali, and Yen-Wei Chen. Evolutionary CTimage reconstruction. In Proceedings of the 1997 IEEE International Conference on Neural Networks,volume 3, pages 1608–1611, Houston, TX, 9.-12. June 1997. IEEE, New York, NY. †CCA83561/97ga97bZenshoNakao.



ftp://ftp.uwasa.fics/3NWGA/Rost.ps.Z

Bibliography 123

[870] Konstantinos K. Delibasis, Peter E. Undrill, and George G. Cameron. Designing Fourier descriptor-basedgeometric models for object interpretation in medical images using genetic algorithms. Computer Visionand Image Understanding, 66(3):286–300, June 1997. ga97cDelibasis.

[871] Jorma Laurikkala and Martti Juhola. Learning diagnostic rules from a urological database using ge-netic algorithm. In Alander [1659], pages 233–244. (ftp://ftp.uwasa.fics/3NWGA/Laurikkala.ps.Z)ga97cLaurikkala.

[872] Zensho Nakao, Midori Takashibu, and Yen-Wei Chen. Evolutionary CT image reconstruction by imagepartition. In Michael Blumenstein, editor, Proceedings of the International Conference on ComputationalIntelligence and Multimedia Applications, pages 427–431, Gold Coast, QUE, Australia, February 1997.Watson Ferguson & Company (Griffith University). ga97dZNakao.

[873] A. C. Kotcheff and C. J. Taylor. Automatic construction of eigenshape models by direct optimization.Med. Image Anal., 2(4):303–314, December 1998. * PubMed10072198 ga98aACKotcheff.

[874] M. A. Anastasio, H. Yoshida, R. Nagel, R. M. Nishikawa, and K. Doi. A genetic algorithm-based methodfor optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcal-cifications in mammograms. Med. Phys. (USA), 25(9):1613–1620, 1998. †CCA82151/98 ga98aAnastasi.

[875] Chulkyu Shin, Sangmin Lee, Eunsil Lee, Jangwoo Kwon, Younggun Jang, and Seunghong Hong. A studyon electromyogram signal technique using neural network and genetic algorithms. J. Inst. Electron. Eng.Korea S (South Korea), 35-S(11):176–183, 1998. In Korean †PA62795/99 ga98aChulShin.

[876] P. P. Delsanto, A. Romano, M. Scalerandi, and F. Moldoveanu. Application of genetic algorithmsto ultrasonic tomography. The Journal of the Acoustical Society of America, 104(3):1374–1381, 1998.†CCA79067/98 ga98aDelsanto.

[877] T. S. Douglas, P. V. Lee, S. E. Solomonidis, and W. D. Spence. Compounding of ultrasound b-scansof a trans-femoral residual limb using a genetic algorithm. In Proceedings of the Medical Imaging, pages1028–1035, San Diego, CA, 23.-26. February 1998. SPIE – International Society for Optical Engineering.†PA39866/99 P81474 ga98aDouglas.

[878] Du-Yih Tsai. Classification of heart diseases in ultrasonic images using neural networks trained by ge-netic algorithms. In Proceedings of the 1998 Fourth International Conference on Signal Processing, vol-ume 2, pages 1213–1216, Beijing (China), 12.-16. October 1998. IEEE, Piscataway, NJ. †CCA84921/99ga98aDu-YTsai.

[879] Fath El Alem F. Ali, Zensho Nakao, and Yen-Wei Chen. Three new soft computing approaches to two-dimensional CT image reconstruction: A comparative study. In Proceedings of the 2nd 1998 InternationalConference on Knowledge.Based Intelligent Electronic Systems, pages 210–219, Adelaide (Australia), 21.-23. April 1998. IEEE, Piscataway, NJ. ga98aFEAFAli.

[880] Markus Gu∂mundsson, Essam A. El-Kwae, and Mansur R. Kabuka. Edge detection in medical images usinga genetic algorithm. IEEE Transactions on Medical Imaging, 17(3):469–474, June 1998. ga98aGudmundsson.

[881] Guozhen Yang, L. E. Reinstein, S. Pai, Zhigang Xu, and D. L. Carroll. A new genetic algorithm tech-niques in optimization of permanent prostate implants. Medical Physics, 25(12):2308–2315, 1998. †[1001]PA24078/99 ga98aGuozhenYang.

[882] Jangwoo Kwon, Sangjean Lee, Chulkyu Shin, Younggun Jang, and Seunghong Hong. Signal hybrid HMM-GA-MLP classifier for continuous EMG classifiercation purpose. In Proceedings of the 20th Annual Inter-national Conference of the IEEE Engineering in Medicine and Biology Society, volume 3, pages 1404–1407,Hong Kong, 29. oct - 1. nov ? 1998. IEEE, Piscataway, NJ. †CCA84776/99 ga98aJangKwon.

[883] Jean-Michel Rouet, Jean-Jose Jacq, and Christian Roux. 3D elastic multimodality image registrationthrough a genetic algorithm. In Proceedings of the 20th Annual International Conference of the IEEEEngineering in Medicine and Medicine and Biology Society, volume 20, pages 663–666, Hong Kong, 29.oct- 1. nov ? 1998. IEEE, New York, NY. ga98aJMRouet.

[884] Lucia Ballerini. Genetic snakes for medical image segmentation. In Francoise Preteux, Jennifer L. Davidson,and Edward R. Dougherty, editors, Mathematical Modeling and Estimation Techniques in Computer Vision,volume SPIE-3457, pages 284–295, ?, September 1998. The International Society for Optical Engineering.* www/SPIE Web ga98aLBallerini.

[885] P. Linares, L. Rodriguez, and G. Montilla. Genetic algorithm fitting of deformable superquadrics appliedto left ventricle visualization. Computers in Cardiology, 25:657–660, 1998. †PA62619/99 ga98aLinares.

[886] M. Tsuzaka, H. Fujita, M. Uno, and T. Hara. Development of an automated detection algorithm formediatistinal lymph nodes on chest X-ray CT images. Jpn. J. Med. Electron. Biol. Eng. (Japan), 36(4):343–350, 1998. In Japanese †PA93944/99 ga98aMTsuzaka.

ftp://ftp.uwasa.fics/3NWGA/Laurikkala.ps.Z


[887] Ou Tan, Chunguang Jia, Huilong Duan, and Weixue Lu. Automatic segmentation and classification ofhuman brain image based on a fuzzy brain atlas. In Ji Zhou, Anil K. Jain, Tianxu Zhang, YaotingZhu, Mingyue Ding, and Jianguo Liu, editors, International Symposium on Multispectral Image Processing(ISMIP’98), volume SPIE-3545, pages 508–511, ?, September 1998. The International Society for OpticalEngineering. * www/SPIE Web ga98aOTan.

[888] Peter Andris and Ivan Frollo. Genetic algorithm with modified elitism for RF coil NMR tomographmagnetic field homogeneity optimisation. In Pavel Osmera, editor, Proceedings of the 4th InternationalMendel Conference on Genetic Algorithms, Optimization problems, Fuzzy Logic, Neural networks, RoughSets (MENDEL’98), pages 13–18, Brno (Czech Republic), 24.-26. June 1998. Technical University of Brno.ga98aPAndris.

[889] Ping Chan Heang, Berkman Sahiner, Leung Lam Kwok, Nicholas Petrick, Mark A. Helvie, Michell M.Goodsitt, and Dorit D. Adler. Computerized analysis of mammographic microcalcifications in morpholog-ical and texture feature spaces. Medical Physics, 25(10):2007–2019, October 1998. * INSPEC 6059109ga98aPingChanHeang.

[890] Patrick Piscaglia, Vincent Vaerman, Carmen De Sola Fabregas, Jean-Philippe Thiran, and Benoit M. Marq.ROI-based multiresolution compression of heart MR images. In Yongmin Kim and Seong K. Mun, editors,Medical Imaging 1998: Image Display, volume SPIE-3335, pages 583–594, ?, June 1998. The InternationalSociety for Optical Engineering. ga98aPPiscaglia.

[891] Philippe Schroeter, Jean-Marc Vesin, Thierry Langenberger, and Reto Meuli. Robust parameter estimationof intensity distribution for brain magnetic resonance. IEEE Transactions on Medical Imaging, 17(2):172–186, April 1998. ga98aPSchroeter.

[892] R. Olmi, M. Bini, S. Manetta, and S. Priori. EIT reconstruction of static images by a genetic algorithmapproach. In Proceedings of the Electrical Bioimpedance Methods: Applications to Medicine and Biotech-nology, pages 454–465, Barcelona (Spain), 5.-9. April 1998. New York Acad Sciences, New York. †P85314ga98aROlmi.

[893] Sameh M. Yamany and Aly A. Farag. A system for human using intra-oral images. In H. K. Chang andY. T. Zhang, editors, Proceedings of the 20th Annual International Conference of the IEEE Engineeringin Medicine and Biology Society, volume 3, pages 563–566, Hong Kong, China, 29. October-29. November1998. IEEE, Piscataway, NJ. * ga98aSMYamany.

[894] T. Hara, Yongbum Lee, and H. Fujita. Fundamentals of medical 3D images and intelligent informationprocessing. Med. Imaging Technol. (Japan), 16(2):103–110, 1998. In Japanese †PA88371/98 ga98aTHara.

[895] Tania S. Douglas, Peter V. Lee, Stephan E. Solomonidis, and William D. Spence. Compounding ofultrasound B-scans of a transfemoral residual limb using a genetic algorithm. In Kenneth M. Hanson,editor, Medical Imaging 1998: Image Processing, volume SPIE-3338, pages 1028–1035, ?, June 1998. TheInternational Society for Optical Engineering. * www/SPIE Web ga98aTSDouglas.

[896] Kimmo Uutela, Matti Hamalainen, and Riitta Salmelin. Global optimization in the location of neuromag-netic sources. IEEE Transactions on Biomedical Engineering, 45(6):716–723, June 1998. ga98aUutela.

[897] Yen ting Chen, Kuo sheng Cheng, and Jia kuang Liu. Feature subimage extraction for cephalogramland marking. In H. K. Chang and Y. T. Zhang, editors, Proceedings of the 20th Annual InternationalConference of the IEEE Engineering in Medicine and Biology Society, volume 3, pages 1414–1417, HongKong, China, 29. October-29. November 1998. IEEE, Piscataway, NJ. * www/IEEE ga98aY-tChen.

[898] Yuhui Shi and Russell C. Eberhart. Review of biomedical applications of computational intelligence.In Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine andBiology society, volume 3, pages 1116–1120, Hong Kong, 29. oct- 1. nov ? 1998. IEEE, Piscataway, NJ.†CCA78638/99 ga98aYShi.

[899] Z. Dokur, T. Olmez, and E. Yazgan. Classification of MR and CT images using genetic algorithms.In Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine andBiology Society, volume 3, pages 1418–1421, Hong Kong, 29. oct- 1. nov ? 1998. IEEE, Piscataway, NJ.†CCA84779/99 ga98aZDokur.

[900] Du-Yih Tsai. Classification of heart diseases in ultrasonic images using neural networks trained by geneticalgorithms. In Y. Baozong and T. Xiaofang, editors, 1998 Fourth International Conference on SignalProcessing Proceedings. ICSP ’98, volume 2, pages 1213–1216, Beijing, China, 12.-16.October 1998. IEEE,Piscataway, NJ. * www/IEEE ga98bD-YTsai.

Bibliography 125

[901] I. Nagayama and M. Kudaka. Automatic detection of histological components in breast cancer image byusing genetic neural network. In Proceedings of the 5th International Conference on soft Computing andInformation/Intelligent Systems, volume 2, pages 1011–1016, Fukuoka, Japan, 16.-20. October 1998. WorldScientific, Singapore. †CCA75235/99 ga98bNagayama.

[902] A. Gottvald. Bayesian evolutionary inversions in biomedical NMR-spectroscopy. In P. Dibarba andA. Savini, editors, 9th International Symposium on Non-linear Electromagnetic Systems - ISEM ’99, vol-ume ?, pages 431–434, Pavia, Italy, 10.-12.May 1999. I O S Press, Amsterdam/ Ohmsha Ltd., Tokyo.†P90148 ga99aAGottvald.

[903] J. Aguilar and P. Miranda. Resolution of the left ventricle 3D reconstruction problem using approachesbased on genetic algorithm for multiobjective problems. In Proceedings of the 1999 Congress on Evolution-ary Computation-CEC99, volume 2, pages 913–920, Washington, DC, 6.-9. July 1999. IEEE, Piscataway,NJ. †CCA84611/99 ga99aAguilar.

[904] A. Kam and A. Cohen. Detection of fetal ECG with IIR adaptive filtering and genetic algorithms. InProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, pages2335–2338, Phoenix, AZ, 15.-19. March 1999. IEEE, New York, NY. †P84345 ga99aAKam.

[905] Ayman M. Eldeib, Sameh M. Yamany, and Aly Farag. Multi-modal medical volumes fusion by surfacematching. In ?, editor, Proceedings of the 5th International Symposium on Signal Processing and itsApplications, volume 1, pages 439–442, Brisbane (Australia), 22.-25. August 1999. IEEE. ga99aAMEldeib.

[906] Stefano Cagnoni, A. B. Dobrzeniecki, Riccardo Poli, and J. C. Yanch. Genetic algorithm-based interac-tive segmentation of 3D medical images. Image and Vision Computing, 17(12):881–895, October 1999.ga99aCagnoni.

[907] G. B. Williams, B. J. Fisher, C. L. Huang, T. A. Carpenter, and L. D. Hall. Design of biplanar gradient coilsfor magnetic resonance imaging of the human torso and limbs. Magnetic Resonance Imaging, 17(5):739–754, June 1999. * PubMed10372528 ga99aGBWilliams.

[908] H. Handels, T. Ross, J. Kreusch, H. H. Wolff, and S. J. Poppl. Feature selection for optimizaed skintumor recognition using genetic algorithms. Artificial Intelligence in Medicine, 16(3):283–297, 1999.†CCA66660/99 ga99aHandels.

[909] Hang Zhang, Sailing He, and Wei Sun. Applications of genetic algorithms to an inverse problem of lightpropagation in tissues: reconstruction of the location and size of a tumor in a tissue volume. In QingmingLuo, Britton Chance, Lihong V. Wang, and Steven L. Jacques, editors, 1999 International Conferenceon Biomedical Optics, volume SPIE-3863, pages 49–54, ?, September 1999. The International Society forOptical Engineering. * www/SPIE Web ga99aHZhang.

[910] Jerry A. Burman. Hybrid pattern recognition method using evolutionary computing techniques appliedto the exploitation of hyperspectral imagery and medical spectral data. In Sebastiano B. Serpico, editor,Image and Signal Processing for Remote Sensing V, volume SPIE-3871, pages 348–357, ?, December 1999.The International Society for Optical Engineering. * www/SPIE Web ga99aJABurman.

[911] J. A. W. Mccall and A. Petrovski. A decision-support system for cancer-chemotherapy using geneticalgorithms. In Proceedings of the Computational Intelligence for Modelling, Control & Automation, pages65–70, Vienna, Austria, 17.-19. February 1999. IOS Press, Amsterdam. †P84322 ga99aJAMccall.

[912] Jagath C. Rajapakse and Bao Guojun. Functional MR image registration using a genetic algorithm. InProceedings of the 6th International Conference on Neural Information Processing (ICONIP’99), volume 3,pages 922–927, ?, 16.-20. November 1999. IEEE, Piscataway, NJ. ga99aJCRajapakse.

[913] Kazuhiro Matsui, Yusuke Suganami, and Yukio Kosugi. Feature selection by genetic algorithm for MRIsegmentation. Systems and Computers in Japan, 30(7):69–78, 1999. (Translation from Denshi Joho TsushinGakkai Ronbunshi, Vol. J80-D-II, No. 7, July 1997, pp. 1712-1721) †CCA66636/99 ga99aKazuhiroMatsui

⇒ http://www3.interscience.wiley.com/journal/61500346/abstract?CRETRY=1&SRETRY=0.

[914] Lucia Ballerini. Detection and quantification of diabetic retinopathy. In Andrew G. Tescher, editor,Applications of Digital Image Processing XXII, volume SPIE-3808, pages 213–223, ?, October 1999. TheInternational Society for Optical Engineering. * www/SPIE Web ga99aLBallerini.

[915] M. A. Kupinski and M. A. Anastasio. Multiobjective genetic optimization of diagnostic classifiers withimplications for generating receiver operating characteristic curves. IEEE Transactions on Medical Imaging,18(8):675–685, August 1999. * PubMed10534050 ga99aMAKupinski.

[916] M. Mignotte and J. Meunier. Deformable template and distribution mixture-based data modelling forendocardial contour tracking in an echograohic. In IEEE Computer Society Conference on ComputerVision and Pattern Recognition, volume 1, page 230, Fort Collins, CO, USA, 23.-25.June 1999. IEEE,Piscataway, NJ. * www/IEEE ga99aMMignotte.

http://www3.interscience.wiley.com/journal/61500346/abstract?CRETRY=1&SRETRY=0


[917] Randy P. Broussard, Jeffrey W. Hoffmeister, John E. Rosentengel, Philip Amburn, Edward M. Ochoa,Steven K. Rogers, Telford S. Berkey, Martin P. Desimo, and Thomas P. Rathbun. Method and system forautomated detection of clustered microcalcifications from digital mammograms, 1999. (U. S. patent no.5,999,639. Issued December 7 1999) * fi.espacenet.com ga99aRPBroussard.

[918] R. P. Velthuizen, L. O. Hall, and L. P. Clarke. Feature extraction for MRI segmentation. J. Neuroimaging,9(2):85–90, April 1999. * PubMed10208105 ga99aRPVelthuizen.

[919] Rad Rafiee, Hamid Soltanian-Zadeh, Mohammad Rahmati, and Syamak Pour-Abdollah. Microcalcificationclassification in mammograms using multiwavelet features. In Michael A. Unser, Akram Aldroubi, andAndrew F. Laine, editors, Wavelet Applications in Signal and Image Processing VII, volume SPIE-3813,pages 832–841, ?, October 1999. The International Society for Optical Engineering. * www/SPIE Webga99aRRafiee.

[920] S. J. Turner, P. D. Picton, and J. A. Campbell. Selecting filter banks to enhance evoked potentialsrecordings using evolutionary algorithms. In Proceedings of the First European Workshops, pages 101–109,Goteburg, Sweden, 26.-27. May 1999. Springer-Verlag, Berlin (Germany). †CCA84581/99 ga99aSJTurner.

[921] Sameh M. Yamany, Aly A. Farag, David Tazman, and Allan G. Farman. Robust 3D reconstruction systemfor human jaw modeling. In Joseph H. Nurre and Brian R. Corner, editors, Three-Dimensional ImageCapture and Applications II, volume SPIE-3640, pages 125–135, ?, March 1999. The International Societyfor Optical Engineering. * www/SPIE Web ga99aSMYamany.

[922] V. Pilla Jr and H. S. Lopes. Evolutionary training of a neurofuzzy network for detection of P wave of theECG. In Proceedings of the Third International Conference on computational Intelligence and MultimediaApplications, pages 102–106, New Delhi, India, 23.-26. September 1999. IEEE Computer Society Press,Los Alamitos, California. †CCA93085/99 ga99aVPilla.

[923] T. Wanschura, D. A. Coley, W. Vennart, and S. Gandy. Automatic realignment of time-separatedMR images by genetic algorithm. Magnetic Resonance Imaging, 17(2):313–317, February 1999. *PubMed10215488 ga99aWanschura.

[924] Yen ting Chen, Kuo sheng Cheng, and Jia kuang Liu. Improving cephalogram analysis through featuresubimage extraction. IEEE Engineering in Medicine and Biology, 18(1):25–31, January/February 1999.ga99aY-tChen.

[925] Z. Dokur, T. Olmez, and E. Yazgan. Comparison of discrete wavelet and Fourier transforms for ECG beatclassification. Electronics Letters, 34(18):1502–1504, 2. September 1999. ga99aZDokur.

[926] Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good, and David Gur. Feature selectionfor computerized mass detection in digitized mammograms by using a genetic algorithm. Acad. Radiol.,6(6):327–332, June 1999. * PubMed10376062 ga99bBZheng.

[927] Fath El Alem Fadlallah Ali, Zensho Nakao, and Yen-Wei Chen. An evolutionary approach to CT imagereconstruction. Bull. Fac. Eng. Univ. Ryukyus (Japan), (57):81–84, 1999. In English †CCA58846/99ga99bFEAFAli.

[928] Lucia Ballerini. Medical image segmentation using genetic snakes. In Bruno Bosacchi, David B. Fogel, andJames C. Bezdek, editors, Applications and Science of Neural Networks, Fuzzy Systems, and EvolutionaryComputation II, volume SPIE-3812, pages 13–23, ?, November 1999. The International Society for OpticalEngineering. * www/SPIE Web ga99bLBallerini.

[929] Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good, and David Gur. Application of Bayesianbelief network in a computer-assisted diagnosis scheme for mass detection. In Kenneth M. Hanson, ed-itor, Medical Imaging 1999: Image Processing, volume SPIE-3661, pages 1553–1561, ?, May 1999. TheInternational Society for Optical Engineering. * www/SPIE Web ga99cBZheng.

[930] Lucia Ballerini. Genetic snakes for medical images segmentation. In Proceedings of the First Euro-pean Workshops on Evolutionary Image Analysis, Signal Processing and Telecommunications, volume1596 of LNCS, pages 59–73, Goteburg (Sweden), 26.-27. May 1999. Springer-Verlag, Berlin (Germany).†CCA84580/99 ga99cLBallerini.

[931] Lucia Ballerini. An automatic system for the analysis of vascular lesions in retinal images. In Proceedingsof the 1999 IEEE Nuclear Science Sympoium, volume 3, pages 1598–1602, ?, 24.-30. October 1999. IEEE,Piscataway, NJ. ga99dLBallerini.

[932] Torbjorn E. M. Nordling, Janne Koljonen, Josefina Nystrom, Ida Boden, Britta Lindholm-Sethson, PaulGeladi, and Jarmo T. Alander. Wavelength selection by genetic algorithms in near infrared spectra formelanoma diagnosis. In ?, editor, Proceedings of the 3rd European Medical and Biological EngineeringConference (EMBEC’05), volume 11, page ?, Prague (Czech Republic), 20.-25. November 2005. IFMBE.ftp://ftp.uwasa.fi/cs/report05-4/EMBEC2005.pdf gaA:EMBEC05.

ftp://ftp.uwasa.fi/cs/report05-4/EMBEC2005.pdf

Bibliography 127

[933] Torbjorn E. M. Nordling, Janne Koljonen, Josefina Nystrom, Ida Boden, Britta Lindholm-Sethson,Paul Geladi, and Jarmo T. Alander. Melanooman diagnosointi spektria optimoimalla. InLaakaripaivien 2006 Luentotiivistelmat, page 224, Helsinki (Finland), 8.-12. January 2006. SuomenLaakariliitto, Duodecim, Finska Lakaresallskapet. ftp://ftp.uwasa.fi/cs/report05-4/FinMedPoster.

pdf,FinMedAbs.pdf gaA:LP06.

[934] Latha Parthiban and R. Subramanian. Intelligent heart disease prediction system using CANFISand genetic algorithm. International Journal of Biological and Life Sciences, 3(3):157–160, ? 2007.07aLathaParthiban ⇒ http://www.waset.org/journals/ijbls/v3/v3-3-22.pdf.

[935] G. Distefano, M. Capozza, and N. Accornero. Neural networks trained by a genetic algorithm for visual-field diagnosis. In J. P. Morucci, R. Plonsey, J. L. Coatriex, and S. Laxminarayan, editors, Proceedingsof the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol-ume 14, pages 1028–1029, Paris, France, 29. October - 1. November 1992. IEEE, New York. †P57332ga:Accornero92a.

[936] Max Blanchet, Shuji Yoshizawa, and Sun ichi Amari. Modified Kohonen’s self-organizing feature mapand its application to automatic sleep cycle recognition. In IJCNN’93 [1638], pages 2476–2479. †EIM082911/94 ga:Blanchet93a.

[937] Pierre Bonelli and Alexandre Parodi. An efficient classifier system and its experimental comparison withtwo representative learning methods on three medical domains. In Belew and Booker [1655], pages 288–295.ga:Bonelli91.

[938] U. Brudermann. Entwicklung und Anpassung eines vollstandigen Ansteuersystems fur fremdenergetischangetriebene Ganzarmprothesen. Fortschrittsberichte der VDI-Zeitschriften, 17(6):?, ? 1977. †[6]ga:Brudermann77.

[939] Steven L. Horner, William Holls, and Paul B. Crilly. Non-invasive fetal electrocardiograph enhancement.In ?, page ?, 1992. ga:Crilly92b.

[940] P. Kini, Charles C. Peck, and Atam P. Dhawan. Genetic algorithm-based reconstruction in-diffusion tomog-raphy. In B. Chance, R. R. Alfano, and A. Katzir, editors, Proceedings of Photon Migration and Imagingin Random Media and Tissue, volume SPIE-1888, pages 407–419, Los Angeles, CA, 17. -17. January 1993.The International Society for Optical Engineering. †P59563/94 ga:Dhawan93b.

[941] Mehdi Elketroussi. Relapse from tobacco smoking cessation: Mathematical and computer micro-simulationmodelling including parameter optimization with genetic algorithms. PhD thesis, University of Minnesota,1993. * DAI V. 54 N. 8 (Feb 94) ga:ElketroussiThesis.

[942] A. V. Sebald and David B. Fogel. Using evolutionary programming for arterial waveform discrimination.In 1991 International Joint Conference on Neural Networks - IJCNN 91, volume II, pages A–955, Seattle,WA, 8.-14. July 1991. IEEE, New York. ga:Fogel91f.

[943] Cezary Z. Janikow, H. Cai, and X. Luo. An approximate algorithm for estimating treatment lags fromright censored data. Computers & Mathematics with Applications, 25(12):73–85, December 1993. * CA5666 Vol. 37 No. 7/8 ga:Janikow93b.

[944] Ludmila I. Kuncheva. Genetic algorithm for feature selection for parallel classifiers. Information ProcessingLetters, 46(4):163–168, June 1993. * CA 6682 Vol. 37 No. 9/10; EI 133675/93 ACM/93 ga:Kuncheva93a.

[945] R. Lerch. Simulation von Ultraschall-wandlern. ACOUSTICA, 57(?):205–217, 1985. †BackBibga:Lerch85a.

[946] N. Panayides, C. N. Schizas, C. S. Pattichis, A. Theodosius, and L. T. Middleton. Genetics-based-machine-learning in clinical electromyography. In Teuvo Kohonen, Kai Makisara, Olli Simula, and Jari Kangas,editors, Artificial Neural Networks, Proceedings of the 1991 International Conference on Artificial NeuralNetworks (ICANN-91), volume 2, pages 1625–1628, Espoo (Finland), 24.-28. June 1991. North-Holland.ga:Middleton91.

[947] C. N. Schizas, C. S. Pattichis, and L. T. Middleton. Neural networks, genetic algorithms and the K-meansalgorithm: in search of data classification. In J. David Schaffer and Darrell Whitley, editors, COGANN-92, International Workshop on Combinations of Genetic Algorithms and Neural Networks, pages 201–222,Baltimore, MD, 6. June 1992. IEEE Computer Society Press, Los Alamitos, CA. * EEA 70672/93ga:Middleton92a.

[948] Tim K. Peters, Hans-Eberhard Koralewski, and Ekkehard W. Zerbst. Search for optimal frequencies andamplitudes of therapeutic electrical carotid sinus nerve stimulation by application of the evolution strategy.Artificial Organs, 13(2):133–143, 1980. †BackBib ga:Peters80a.

ftp://ftp.uwasa.fi/cs/report05-4/FinMedPoster.pdf, FinMedAbs.pdf

ftp://ftp.uwasa.fi/cs/report05-4/FinMedPoster.pdf, FinMedAbs.pdf

http://www.waset.org/journals/ijbls/v3/v3-3-22.pdf


[949] Tim K. Peters, Hans-Eberhard Koralewski, and Ekkehard W. Zerbst. The evolution strategy - a searchstrategy used in individual optimization of electrical parameters for therapeutic carotid sinus nerve stim-ulation. IEEE Transactions on Biomedical Engineering, 36(7):668–675, July 1991. ga:Peters91a.

[950] M. N. Narayanan and S. B. Lucas. A genetic algorithm to improve a neural network to predict a patiensresponse to Warfarin. Methods of Information in Medicine, 32(1):55–58, February 1993. * MEDLINECCA 35734/93 ga:SBLucas93a.

[951] Dorin Picu, R. van Lehndert, Jochen Paul, and Joachim Stender. Evaluation of parallel genetic algorithmson medical datasets. chapter 4. Applications. 1993. † ga:Stender92c.

[952] Jochen Paul, E. von Goldammer, R. van Leendert, Dorin Picu, Joachim Stender, E. David, and M. Pfoten-hauer. Applications of neural networks and genetic algorithms in the diagnosis of cancer, anorexia nervosaand AIDS. pages 187–214, 1993. †Back/bib/unp ga:Stender93b.

[953] H. G. Nurnberg and G. Vossius. Evolutionsstrategie – ein Regelkonzept fur die funktionelle Elektros-timulation gelahmter Gliedmaßen. Biomedizinische Technik, 31(?):52–53, September 1986. †Back/bibga:Vossius86a.

[954] H. G. Nurnberg and G. Vossius. The applicability of the evolution strategy to the control of paralyzedlimbs through fes. In ?, editor, Selected Papers from the 10th Triennal World Congress of the InternationalFederation of Automatic Control, pages 37–43, Munich (Germany), 27.-31. July 1987. ? †Back/bibga:Vossius87a.

[955] Albert Y. C. Fung, K. M. Alektiar, D. A. Silvern, and Marco Zaider. Treatment-plan optimization for soft-issue sarcoma brachytherapy using a genetic algorithm. Int. J. Radiat. Oncol. Biol. Phys., 47(5):1385–1395,15. July 2000. * PubMed10889394 ga00aAYFung.

[956] B. Y. Kim and K. S. Park. Automatic sleep stage scoring systems using genetic algorithms and neuralnetwork. In J. D. Enderle, editor, Proceedings of the 2000 Annual International Conference of the IEEEEngineering in Medicine and Biological Society, volume 2, pages 849–850, Chigaco, IL, USA, 23.-28.July2000. IEEE, Piscataway, NJ. * www/IEEE ga00aBYKim.

[957] Christopher Neal Chapman. A Genetic Algorithm Method for Discovery of Diagnostics Rules for Psychi-atric Disorders. PhD thesis, ?, 2000. (University Microfilms No. AAI9943757) * PsycINFO 2000-95004-420/DAI 60(8-B):4208 ga00aCNChapman.

[958] David a. Silvern. Apparatus and method for determining optimal locations to place radioactive seedsat a cancerous site, 2000. (U. S. patent no. 6,095,975. Issued August 1 2000) * fi.espacenet.comga00aDASilvern.

[959] Du-Yih Tsai. Comparison of four computer-aided diagnosis schemes for automated discrimination of my-ocardial heart disease. In Proceedings of ICPS2000, pages 2000–2003, ?, ? 2000. IEEE. ga00aDu-YihTsai.

[960] F. C. Su and W. L. Wu. Design and testing of a genetic algorithm neurali network inthe assessment of gait patterns. Medical Engineering & Physics, 22(1):67–74, January 2000.* PubMed10817950 ga00aFCSu ⇒ http://www.ingentaconnect.com/content/els/13504533/2000/

00000022/00000001/art00011;jsessionid=1kr58u0ul64qo.alexandra?format=print.

[961] G. A. Ezzell and L. Gaspar. Application of a genetic algorithm to optimizing radiation therapy treatmentplans for pancreatic carcinoma. Med. Dosim., 25(2):93–97, ? 2000. * PubMed10826688 ga00aGAEzzell.

[962] G. Rovithakis, M. Maniadakis, and M. Zervakis. A genetically optimised artificial neural network structurefor feature extraction and classification of vascular tissue fluorescence. In V. Cantoni and C. Guerra, editors,Fifth IEEE International Workshop on Computer Architectures of Machine Perception, volume ?, pages107–111, Padova, Italy, 11.-13.September 2000. IEEE, Piscataway, NJ. * www/IEEE ga00aGRovithakis.

[963] Hualou Liang, Zhiyue Lin, and Richard W. McCallum. Application of combined genetic algorithms withcascade correlation to diagnosis of delayed gastric emptying from electrogastrograms. Medical Engineering& Physics, 22(3):229–234, April 2000. ga00aHualouLiang.

[964] John H. Holmes, Dennis R. Durbin, and Flaura K. Winston. The learning classifier system: an evolution-ary computation approach to knowledge discovery in epidemiologic surveillance. Artificial Intelligence inMedicine, 19(1):53–74, May 2000. ga00aJHHolmes.

[965] Joseph Y. Lo, Walker H. Land, and Clayton T. Morrison. Evolutionary programming technique for reducingcomplexity of artificial neural networks for beast cancer diagnosis. In Kenneth M. Hanson, editor, MedicalImaging 2000: Image Processing, volume SPIE-3979, pages 153–158, ?, June 2000. The InternationalSociety for Optical Engineering. * www/SPIE Web ga00aJYLo.

http://www.ingentaconnect.com/content/els/13504533/2000/00000022/00000001/art00011;jsessionid=1kr58u0ul64qo.alexandra?format=print

http://www.ingentaconnect.com/content/els/13504533/2000/00000022/00000001/art00011;jsessionid=1kr58u0ul64qo.alexandra?format=print

Bibliography 129

[966] Matthew A. Kupinski, Mark A. Anastasio, and Maryellen L. Giger. Multiobjective genetic optimization ofdiagnostic classifiers used in the computerized detection of mass lesions in mammography. In Kenneth M.Hanson, editor, Medical Imaging 2000: Image Processing, volume SPIE-3979, pages 40–45, ?, June 2000.The International Society for Optical Engineering. * www/SPIE Web ga00aMAKupinski.

[967] Masao Ozaki and Wataru Motokawa. Dental age estimation by two computer methods: fuzzy logic andneural network. Biomedical Soft Computing and Human Sciences, 6(1):13–17, ? 2000. ga00aMasaoOzaki.

[968] P. A. Bath, N. Pendleton, K. Morgan, J. E. Clague, M. A. Horan, and S. B. Lucas. New approach torisk determination: development of risk profile for new falls among community-dwelling older people byusing of a Genetic Algorithm Neural Network (GANN). J. Gerontol. A. Biol. Sci. Med. Sci., 55(1):17–21,January 2000. * PubMed10719768 ga00aPABath.

[969] P. C. W. Beatty, A. Pohlmann, and T. Dimarki. Shape-only identification of breathing system failure. InProceedings of the 2nd Annual International Conference of the IEEE Engineering in Medicine and BiologySociety, volume 2, pages 982–984, Chigago, IL, 23.-26. July 2000. IEEE, Piscataway, NJ. * www /IEEEga00aPCWBeatty.

[970] Carlos Andres Pena-Reyes and Moshe Sipper. Evolutionary computation in medicine: an overview. Ar-tificial Intelligence in Medicine, 19(?):1–23, ? 2000. ga00aPena-Reyes ⇒ www.cs.bgu.ac.il/∼sipper/

papabs/evomed.pdf.

[971] Pabitra Mitra, Sushmita Mitra, and Sankar K. Pal. Staging of cervical cancer with soft computing. IEEETransactions on Biomedical Engineering, 47(7):934–940, July 2000. ga00aPMittra.

[972] P. Tapadar, S. Ghosh, and P. P. Majumder. Haplotyping in pedigrees via a genetic algorithm. Hum.Hered., 50(1):43–56, January-February 2000. * PubMed10545757 ga00aPTapadar.

[973] Sabbir U. Ahmad, A. Rahim Leyman, Lim Chong Jen, and Er Meng Hwa. A hybrid optimization ap-proach for the inverse problem of radiotherapy. In ?, editor, Proceedings of the 22nd Annual EMBSInternational Conference, volume ?, pages 3096–3099, Chicago, IL, 23.-28. July 2000. IEEE, Piscataway,NJ. ga00aSUAhmad.

[974] S. Vinterbo and L. Ohno-Machado. A genetic algorithm approach to multi-disorder diagnosis. ArtificialIntelligence in Medicine, 18(2):117–132, February 2000. * PubMed10648846 ga00aSVinterbo.

[975] V. Podgorelec, J. Brest, and P. Kokol. Power of heterogeneous computing as a vehicle for implementing E3medical decision support systems. Int. J. Med. Inf., 58-59(?):179–190, September 2000. * PubMed10978920ga00aVPodgorelec.

[976] Xingen Wu, Yunping Zhu, Jianrong Dai, and Zunliang Wang. Selection and determination of beam weightsbased on genetic algorithms for conformal radiotherapy treatment planning. Physics in Medicine & Biology,45(9):2547–2558, September 2000. ga00aXingenWu.

[977] Xingen Wu and Yunping Zhu. A mixed-encoding genetic algorithm with beam constraint for conformalradiotherapy treatment planning. Medical Physics, 27(11):2508–2516, November 2000. †NASA ADSga00aXWu.

[978] Y. Yu, J. B. Zhang, G. Cheng, M. C. Schell, and P. Okunieff. Multi-objective optimization in radiotherapy:applications to stereotatic radiosurgery and prostate brachytherapy. Artificial Intelligence in Medicine,19(1):39–51, May 2000. * PubMed10767615 ga00aYYu.

[979] D. Devogelaere, P. Van Bael, and M. Rijckaert. Genetic algorithm driven clustering for toxicity prediction.In R. J. Howlett and L. C. Jain, editors, Fourth International Conference on Knowledge-based IntelligentEngineering Systems and Allied Technology, volume 1, pages 173–176, Brighton, UK, 30. August-1. Septem-ber 2000. IEEE, Piscataway, NJ. * www/IEEE ga00bDDevogelaere.

[980] Carlos Andres Pena-Reyes and Moshe Sipper. Applying fuzzy CoCo to breast cncer diagnosis. In DarrellWhitley, David E. Goldberg, Erick Cantu-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, edi-tors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), volume 2,pages 1168–1175, Las Vegas, CA, 10.-12. July 2000. Morgan Kaufmann Publishers, San Francisco, CA.ga00bPena-Reyes.

[981] Vitorino Ramos and Fernando Muge. Image color segmentation by genetic algorithm. In Aurelio C.Campilho and A. M. Mendonca, editors, RecPad’2000, 11th Portuguese Conference on Pattern Recognition,pages 125–129, Porto (Portugal), 11.-12. May 2000. ? ga00bVitorinoRamos.

[982] Chan G. Koh, C. Y. Liaw, and Y. Chen. Hybrid global-local identification for structural health mon-itoring. In Tribikram Kundu, editor, Advanced Nondestructive Evaluation for Structural and BiologicalHealth Monitoring, volume SPIE-4335, pages 174–179, ?, July 2001. The International Society for OpticalEngineering. * www/SPIE Web ga01aCGKoh.

www.cs.bgu.ac.il/~sipper/papabs/evomed.pdf

www.cs.bgu.ac.il/~sipper/papabs/evomed.pdf


[983] C. G. Rowbottom, V. S. Khoo, and S. Webb. Simultaneous optimization of beam orientations andbeam weights in conformal radiotherapy. Medical Physics, 28(8):1696–1702, August 2001. * PubMedga01aCGRowbottom ⇒ http://www.ncbi.nlm.nih.gov/pubmed/11548939.

[984] Chunyan Li Guanghua and Ouyang Guotai Jiang. An optimization algorithm for hurtless location ofepilepsy foci. In Proceedings of the 23rd Annual EMBS International Conference, page 938, Istanbul(Turkey), 25.-28. October 2001. IEEE, Piscataway, NJ. ga01aCLGuanghua.

[985] D. A. Linkens and M. Mahfouf. The intelligent systems in biomedicine laboratory in the Department ofAutomatic Control and Systems Engineering at the University of Sheffield, UK. Artificial Intelligence inMedicine, 21(1-3):171–176, January-March 2001. ga01aDALinkens.

[986] Erna L. Kentala, Jorma Laurikkala, Kati Viikki, Yrjo Auramo, Martti Juhola, and Ilmari V. Pyykko. Expe-riances of otoneurological expert system for vertigo. Scandinavian Audiology, 30(1):90–91, ? 2001. * www/Google ga01aELKentala ⇒ http://informahealthcare.com/doi/abs/10.1080/010503901300007182.

[987] F. Vico, S. Burrezo, C. Polifeme, G. Gargıa-Herrera, and J. Farfan. Knee surgery planning with geneticalgorithms and neural networks. In ?, editor, Proceedings of the 4th International Conference on NeuralNetworks and Expert Systems in Medicine and Healthcare (NNESMED2001), pages 335–340, Milos Island(Greece), 20.-22. June 2001. ? ga01aFVico.

[988] Jim Torresen. Two-step incremental evolution of a digital logic gate based prosthetic hand controller. In ?,editor, Evolvable Systems: From Biology to Hardware, Proceedings of the Fourth International Conference(ICES’01), volume ? of Lecture Notes in Computer Science, page ? Springer-Verlag, Berlin, ? 2001.†Torresen ga01aJimTorresen.

[989] Jaap Vaarkamp. Comment on genetic and global algorithms for optimization of three-dimensional con-formal radiotherapy treatment planning. Phys. Med. Biol., 46(6):L1–L3, June 2001. †www /IoPga01aJVaarkamp.

[990] Mark Shelhamer. Use of a genetic algorithm for the analysis of eye movements from the linear vestibulo-ocular reflex. Annals of Biomedical Engineering, 29(6):510–522, 2001. ga01aMarkShelhamer.

[991] M. F. Jefferson, S. Burlinson, A. Burns, D. Mann, S. Pickering-Brown, F. Owen, C. Sriwardhana, N. Pendle-ton, and M. A. Horan. Clinical features of dementia associated with apolipoprotein epsilon4: Discrimina-tion with a neural network genetic algorithm. International Journal of Geriatric Psychiatry, 16(1):77–81,January 2001. * ISI PsycINFO 2001-14382-009 ga01aMFJefferson.

[992] Marcel Volmer. Infrared spectroscopy in clinical chemistry, using chemometric calibration techniques. PhDthesis, Rijksuniversiteit Groningen, 2001. ga01aMVolmer.

[993] Paulo A. da Costa Filho and Ronei J. Poppi. Determination of triglycerides in human plasma using near-infrared spectroscopy and multivariate calibration methods. Analytica Chimica Acta, 446(?):39–47, ? 2001.ga01aPAdaCostaFilho.

[994] Carlos Andres Pena-Reyes and Moshe Sipper. Fuzzy CoCo: A cooperative-coevolutionary approach tofuzzy modeling. IEEE Transactions on Fuzzy Systems, 9(5):727–737, October 2001. ga01aPena-Reyes.

[995] Pengpeng Zhang, David Dean, A. Metzger, and Claudio Sibata. Optimization of gamma knife treatmentplanning via guided evolutionary simulated annealing. Medical Physics, 28(8):1746–1752, August 2001.ga01aPengpengZhang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/11548945.

[996] S. Burrezo, A. Garcıa, F. Vico, G. Gargıa-Herrera, J. Garrido, and J. Farfan. Hip surgery planning frompreoperative radiographs. In ?, editor, Proceedings of the 4th International Conference on Neural Networksand Expert Systems in Medicine and Healthcare (NNESMED2001), pages 121–125, Milos Island (Greece),20.-22. June 2001. ? ga01aSBurrezo.

[997] Shinchi Sakamoto, Masahiro Watanabe, and Hideyuki Takagi. Optimum solution method, hearing aidfitting apparatus utilizing the optimum solution method, and system optimization adjusting method andapparatus, 2001. (U. S. patent no. 2001005420. Issued June 28 2001) * fi.espacenet.com ga01aSSakamoto.

[998] Thomas Dandekar, Fuli Du, R. Heiner Schirmer, and Steffen Schmidt. Medical target prediction fromgenome sequence: combining different sequence analysis algorithms with expert knowledge and input fromartificial intelligence approaches. Computers & Chemistry, 26(1):15–21, December 2001. †www /Elsevierga01aTDandekar.

[999] Vili Podgorelec and Peter Kokol. Toward more optimal medical diagnosing with evolutionary algorithms.Journal of Medical Systems, 25(3):195–219, June 2001. †www /ACM ga01aVPodgorelec.

[1000] Wen-Lan Wu, Fong-Chin Su, Yuh-Min Cheng, and You-Li Chou. Potential of the genetic algorithmneural network in the assessment of gait patterns in ankle artrodesis. Annals of Biomedical Engineering,29(1):83–91, 2001. ga01aWen-LanWu.


http://informahealthcare.com/doi/abs/10.1080/010503901300007182


Bibliography 131

[1001] Xingen Wu and Yunping Zhu. An optimization method for importance factors and beam weights based ongenetic algorithms for radiotherapy treatment planning. Physics in Medicine and Biology, 46(4):1085–1099,April 2001. ga01aXingenWu.

[1002] Yan Yu. Prostate implant planning engine for radiotherapy, 2001. (U. S. patent no. 6,200,255. IssuedMarch 13 2001) * fi.espacenet.com ga01aYYu.

[1003] Zumray Dokur and Tamer Olmez. ECG beat classification by a novel hybrid neural network. ComputerMethods and Programs in Biomedicine, 66(?):167–181, ? 2001. ga01aZDokur.

[1004] A. Bevilacqua, R. Campanini, and N. Lanconelli. Optimization of a distributed genetic algorithm on acluster of workstations for the detection of microcalcifications. International Journal of Modern PhysicsC, 12(1):55–70, January 2001. †NASA ADS ga01bBevilacqua.

[1005] Christian Igel and Werner von Seelen. Design of a field model for early vision: A case study of evolutionaryalgorithms in neuroscience. In 28th Gottingen Neurobiology Conference, page 1034, Gottingen (Germany),? 2001. George Thieme Verlag. ga01bChristianIgel.

[1006] Xingen Wu and Yunping Zhu. Reply to comment on genetic and global algorithms for optimization ofthree-dimensional conformal radiotherapy treatment planning’. Phys. Med. Biol., 46(6):L3–L5, June 2001.†www /IoP ga01bXingenWu.

[1007] A. V. Adamopoulos, P. A. Anninos, E. N. Demiris, S. D. Likotjannasis, and G. N. Beligiannis. Evolutionarymultimodel analysis of the fetal magnetocardiogram. pages 305–310, 2002. ga02aAVAdamopoulos.

[1008] Albert Y. C. Fung, Howard I. Amols, and Marco Zaider. Optimized planning for intraoperative pla-nar permanent-seed implant. Journal of Applied Clinical Medical Physics, 3(3):221–226, Summer 2002.ga02aAYCFung.

[1009] Bert-Uwe Kohler, Carsten Hennig, and Reinhold Orglmeister. The principles of software QRS detection.IEEE Engineering in Medicine and Biology, 21(1):42–57, January-February 2002. ga02aB-UKohler.

[1010] Carlos Andres Pena-Reyes. Coevolutionary Fuzzy Modeling. PhD thesis, Ecole Polytechnique Federale deLausanne, Section d’informatique, 2002. * www /ResearchIndex ga02aCAPena-Reyes.

[1011] E. A. Durant. Hearing Aid Fitting with Genetic Algorithms. PhD thesis, University of Michigan, 2002.†[?] ga02aEADurant.

[1012] Miguel A. Padilla Castaneda and Fernando Arambula Cosıo. Resection simulation with local tissue defor-mations for computer assisted surgery of the prostate. In Carlos A. Coello Coello, A. de Albornoz, L. E.Sucar, and O. C. Battistutti, editors, MICAI 2002: Advances in Artificial Intelligence, Second MexicanInternational Conference on Artificial Intelligence, volume LNAI of 2313, pages 450–459, Merida, Yucatan(Mexico), 22.-26. April 2002. Springer-Verlag Berlin Heidelberg. * www /Springer ga02aMAPCastaneda.

[1013] M. Lahanas, N. Milickovic, M. Papagiannopoulou, D. Baltas, N. Zamboglou, and K. Karouzakis. Applica-tion of a hybrid version of NSGA-II for multiobjective dose optimization in brachytherapy. pages 299–304,2002. ga02aMLahanas.

[1014] N. Milickovic, M. Lahanas, M. Papagiannopoulou, D. Baltas, N. Zamboglou, and K. Karouzakis. Appli-cation of multiobjective genetic algorithms in anatomy based dose optimization in brachytherapy and itscomparation with deterministic algorithms. pages 293–298, 2002. ga02aNMilickovic.

[1015] S. A. Thompson, Albert Y. C. Fung, and Marco Zaider. Optimal needle arrangement for intraoperativeplanning in permanent I-125 prostate implants. Physics in Medicine and Biology, 47(?):N209–N215, ?2002. †www /IOP ga02aSAThompson.

[1016] Stephen Swift and Xiaohui Liu. Predicting glaucomatous visual field deterioration through short multivaretime series modelling. Artificial Intelligence in Medicine, 24(1):5–24, January 2002. †www /Elsevierga02aSSwift.

[1017] Temei Li and Shahram Payandeh. Design of spherical parallel mechanisms for application to laparoscopicsurgery. Robotica, 20(?):133–138, ? 2002. ga02aTemeiLi ⇒ http://portal.acm.org/citation.cfm?id=

978902.

[1018] A. V. Adamopoulos, P. A. Anninos, E. N. Demiris, S. D. Likotjannasis, and G. N. Beligiannis. Evolutionaryself-adaptive multimodel prediction algorithms of the fetal magnetocardiogram. In Proceedings of the 14thInternational Conference on Digital Signal Processing (DSP 2002), volume 2, pages 1149–1152, ?, 1.-3. July2002. IEEE, Piscataway, NJ. ga02bAVAdamopoulos.




[1019] Celia C. Bojarczuk, Heitor S. Lopes, and Alex A. Freitas. An innovative application of a constrained-syntaxgenetic programming system to the problem of predicting survival of patients. In Conor Ryan, TerenceSoule, Maarten Keijzer, Edward Tsang, Riccardo Poli, and Ernesto Costa, editors, Genetic programming,6th European Conference, EuroGP 2003 Proceedings, volume 2610 of Lecture Notes in Computer Science,pages 11–21, Essex (UK), 14.-16. April 2003. Springer-Verlag, Berlin. ga03aCCBojarczuk.

[1020] C. Cotrutz and L. Xing. Segment-based dose optimization using a genetic algorithm. Phys Med Biol,48(18):2987–2998, 21. September 2003. * PubMed ga03aCCotrutz ⇒ http://www.ncbi.nlm.nih.gov/

pubmed/14529206.

[1021] James Cunha Werner and Tatiana Kalganova. Disease modeling using evolved discriminate function.In Conor Ryan, Terence Soule, Maarten Keijzer, Edward Tsang, Riccardo Poli, and Ernesto Costa, ed-itors, Genetic programming, 6th European Conference, EuroGP 2003 Proceedings, volume 2610 of Lec-ture Notes in Computer Science, pages 465–474, Essex (UK), 14.-16. April 2003. Springer-Verlag, Berlin.ga03aJCWerner.

[1022] Laetitia Jourdan, Clarisse Dhaenens-Flipo, and El-Ghazali Talbi. Discovery of genetic and environmentalinteractions in disease data using evolutionary computation. In Gary B. Fogel and David W. Corne,editors, Evolutionary Computation in Bioinformatics, pages 297–316. Morgan Kaufmann Publishers, NewYork, 2003. †TKKpaa ga03aLaetitiaJourdan.

[1023] Lucia Ballerini and L. Bocchi. Multiple genetic snakes for bone segmentation. In Raidl et al, editor,Applications of Evolutionary Computing, volume 2611 of LNCS, pages 346–356, Essex (UK), 14.-16. April2003. Springer-Verlag, Berlin. †www /Ballerini ga03aLBallerini.

[1024] M. A. Padilla Castaneda and F. Arambula Cosıo. Computer simulation of prostate resection for surgerytraining. In Proceedings of the 25th Annual International Conference of the IEEE EMBS, volume ?, pages1152–1155, Cancun (Mexico), 17.-21. September 2003. IEEE, Piscataway, NJ. ga03aMAPadillaCastaneda.

[1025] Marylyn D. Ritchie, Bill C. White, Joel S. Parker, Lance W. Hahn, and Jason H. Moore. Optimizationof neural network architecture using genetic programming improves detection and modeling of gene-geneinteractions in studies of human diseases. BMC Bioinformatics, 4(?):28–42, 7. July 2003. ga03aMDRitchie.

[1026] Pengpeng Zhang, Jackie Wu, David Dean, Lei Xing, Jinyue Xue, Robert Maciunas, and Claudio Sibata. Op-timization of gamma knife treatment planning via guided evolutionary simulated annealing. InternationalJournal of Radiation Oncology*Biology*Physics, 55(2):420–427, 1. February 2003. ga03aPengpengZhang

⇒ http://www.ncbi.nlm.nih.gov/pubmed/12527055.

[1027] Q. Hou, J. Wang, Y. Chen, and J. M. Galvin. Beam orientation optimization for IMRT by a hybrid methodof the genetic algorithm and the simulated dynamics. Medical Physics, 30(9):2360–2367, September 2003.* www /PubMed ga03aQHou ⇒ http://www.ncbi.nlm.nih.gov/pubmed.

[1028] Alejandro Garcia-Uribe, Nasser Kehtamavaz, Guillermo Marquez, Victor Prieto, Madeleine Duvic, andLihong V. Wang. Skin cancer detection by spectroscopic oblique-incidence reflectometry: classificationof physiological origins. Applied Optics, 43(13):2643–2650, 1. May 2004. ga04aAGarcia-Uribe ⇒ http:

//www.opticsinfobase.org/ao/abstract.cfm?id=79686.

[1029] A. Townsend Peterson, Ricardo Scachetti Pereira, and Vera Fonseca de Camargo Neves. Using epidemio-logical survey data to infer geographic distributions of leishmaniasis vector species. Revista da SociedadeBrasileira de Medicina Tropical, 37(?):10–14, January/February 2004. ga04aATPeterson.

[1030] Ichiro Taga, Akio Funakubo, T. Higami, T. Kawamura, and Yasuhiro Fukui. Design and development ofan artificial implantable lung using multiobjective genetic algorithm (MOGA). ASAIO Journal, 50(2):153,March-April 2004. * AHA ga04aIchiroTaga.

[1031] Ken Susanto and Bingen Yang. Genetic algorithm based optimization design of miniature piezoelectricforceps. In Proceedings of the 2004 IEEE International Conference on Robotics & Automation, volume ?,pages 1358–1363, New Orleans, LA, April 2004. IEEE, Piscataway, NJ. ga04aKenSusanto.

[1032] T. Woo, G. Palafox, B. Diong, and R. Wicker. Parameter estimation by descent and genetic algorithmmethods of an in-vitro stenosis bypass model. In ?, editor, Proceedings of the 26th Annual InternationalConference of the IEEE EMBS, volume ?, pages 3749–3752, San Francisco, CA, 1.-5. September 2004.IEEE. †www /Google ga04aTWoo.

[1033] Yongjie Li, J. Yao, and D. Z. Yao. Automatic beam angle selection in IMRT planning using genetic algo-rithm. Physics in Medicine and Biology, 49(10):1915–1932, May 2004. * www /PubMed ga04aYongjieLi

⇒ http://www.ncbi.nlm.nih.gov/pubmed.




http://www.ncbi.nlm.nih.gov/pubmed

http://www.opticsinfobase.org/ao/abstract.cfm?id=79686

http://www.opticsinfobase.org/ao/abstract.cfm?id=79686

http://www.ncbi.nlm.nih.gov/pubmed

Bibliography 133

[1034] Bahram Hemmateenejad. Optimal QSAR analysis of the carcinogenic activity of drugs by correla-tion ranking and genetic algorithm-based PCR. Journal of Chemometrics, 18(?):475–485, ? 2004.ga04bBHemmateenejad.

[1035] Alessandro Passaro, Flavio Baronti, and Valentina Maggini. Exploring relationships between genotypeand oral cancer development through XCS. In Franz Rothlauf, editor, Proceedings of the 2005 Workshopson Genetic and Evolutionary Computation (GECCO-05), pages 147–151, Washington, D.C., 25.-26. June2005. ACM, New York. ga05aAPassaro.

[1036] Andrei Petrovski and John McCall. Smart problem solving environment for medical decision support.In Franz Rothlauf, editor, Proceedings of the 2005 Workshops on Genetic and Evolutionary Computation(GECCO-05), pages 152–158, Washington, D.C., 25.-26. June 2005. ACM, New York. ga05aAPetrovski.

[1037] A. Townsend Peterson, Carmen Martınez-Campos, Yoshinori Nakazawa, and Enrique Martınez-Meyer.Time-specific ecological niche modeling predicts spatial dynamics of vector insects and human denguecases. Transactions of the Royal Society of Tropical Medicine and Hygiene, 99(9):647–655, September2005. ga05aATPeterson.

[1038] B. Gal, I. Vasanyi, and G. Kozmann. A novel artificial intelligence method for weekly dietary menuplanning. Methods of Information in Medicine, 44(1):655–664, ? 2005. * www /TKK).*abstract onlga05aBGal.

[1039] Cesar Angeletti, Neal R. Harvey, Vitali Khomitch, Andrew H. Fischer, Richard M. Levenson, and David L.Rimm. Detection of malignancy in cytology speciments using spectral-spatial analysis. Laboratory Inves-tigations, 85(?):1555–1564, ? 2005. * www /Nature ga05aCAngeletti.

[1040] C. Bourgeois-Republique, Bruno Frachet, and Pierre Collet. Using an interactive evolutionary algorithm tohelp fitting a cochlear implant. In Franz Rothlauf, editor, Proceedings of the 2005 Workshops on Geneticand Evolutionary Computation (GECCO-05), pages 133–139, Washington, D.C., 25.-26. June 2005. ACM,New York. ga05aCBourgeois-Republique.

[1041] Chong Chiet Sing, Lee Heow Pueh, and A. Senthil Kumar. Automatic hole repair-ing for cranioplasty using Bezier surface approximation. Journal of Craniofacial Surgery,16(6):1076–1084, November 2005. * www /Google ga05aCCSing ⇒ http://www.

jcraniofacialsurgery.com/pt/re/jcransurg/abstract.00001665-200511000-00023.htm;jsessionid=

Lh7W4RYGp6djD1nPW3lpFsCzpFnCjklsZrX6QRjZsyBYcqxhsnqV!1379360954!181195629!8091!-1.

[1042] Chika Maeda, Syoji Kobashi, Nao Shibanuma, Katsuya Kondo, and Yutaka Hata. 3D strain detectionof a support implant for an artificial hip joint using finite element method and genetic algorithm. InProceedings of the 2005 Digital Image Computing: Techniques and Applications, DICTA’05, pages 23–, ?,6.-8. December 2005. IEEE, Piscataway, NJ. ga05aChikaMaeda.

[1043] Chit Siang Soh, Kok Meng Ong, and P. Raveendran. Variable selection using genetic algorithms for analysisof near-infrared spectral data using partial least squares. In Proceedings of the 27th Annual 2005 IEEEInternational Conference on Engineering in Medicine and Biology, pages 1178–1181, Sanghai (China),1.-4. September 2005. IEEE, Piscataway, NJ. ga05aChitSiangSoh.

[1044] C. R. Stephens, H. Waelbroeck, and S. Talley. Predicting healthcare costs using GAs. In Franz Rothlauf,editor, Proceedings of the 2005 Workshops on Genetic and Evolutionary Computation (GECCO-05), pages159–163, Washington, D.C., 25.-26. June 2005. ACM, New York. ga05aCRStephens.

[1045] Fabio Pace, Massimo Buscema, Patrizia Dominici, Marco Intraligi, Fabio Baldi, Renzo Cestari, SandroPassaretti, Gabriele Bianchi Porro, and Enzo Grossi. Artificial neural networks are able to recognize gastro-oesophageal reflux disease patients solely on the basis of clinical data. European Journal of Gastroenterology& Hepatology, 17(6):605–610, June 2005. * AHA ga05aFabioPace.

[1046] Gregory H. Wakefield, Chris van den Honert, Wendy Parkinson, and Sean Lineaweaver. Genetic algo-rithms for adaptive psychophysical procedures: recipient-directed design of speech-processor MAPs. Ear& Hearing, 26(4):Supplement: 57S–72S, August 2005. * AHA ga05aGHWakefield.

[1047] Ichiro Taga, Akio Funakubo, and Yasuhiro Fukui. Design and development of an artificial implantablelung using multiobjective genetic algorithm: Evaluation of gas exchange performance. ASAIO Journal,51(1):92–102, January-February 2005. * AHA ga05aIchiroTaga.

[1048] Ivar Siccama and Maarten Keijzer. Genetic programming as a method to develop powerful predictivemodels for clinical diagnosis. In Franz Rothlauf, editor, Proceedings of the 2005 Workshops on Geneticand Evolutionary Computation (GECCO-05), pages 164–166, Washington, D.C., 25.-26. June 2005. ACM,New York. ga05aIvarSiccama.

http://www.jcraniofacialsurgery.com/pt/re/jcransurg/abstract.00001665-200511000-00023.htm;jsessionid=Lh7W4RYGp6djD1nPW3lpFsCzpFnCjklsZrX6QRjZsyBYcqxhsnqV!1379360954!181195629!8091!-1




[1049] Jane Jijun Liu, Gene Cutler, Wuxiong Li, Zheng Pan, Sihua Peng, Tim Hoey, Liangbiao Chen, andXuefeng Bruce Ling. Multiclass cancer classification and biomarker discovery using GA-based algorithms.Bioinformatics, 21(11):2691–2697, 1. June 2005. * www /ingenta ga05aJaneJijunLiu.

[1050] J. Q. Brown and M. J. Shane. Optimal design of nanoengineered implantable optical sensors using a geneticalgorithm. In Proceedings of the 26th Annual International Conference of the IEEE EMBS, volume ?, pages2105–2108, San Francisco, CA, 1.-5. September 2004. IEEE, Piscataway, NJ. ga05aJQBrown.

[1051] Kirsten Elisabeth Kramer. Improving the Robustness of Multivariate Calibration Models for the Deter-mination of Glucose by Near-Infrared Spectroscopy. PhD thesis, The University of Iowa, 2005. * www/Google ga05aKEKramer.

[1052] Kexin Xu, Qingjun Qiu, Jingying Jiang, and Xiuyan Yang. Non-invasive glucose sensing with near-infrared spectroscopy enhanced by optical measurement conditions reproduction technique. Optics andLaser Engineering, 43(10):1096–1106, October 2005. ga05aKexinXu.

[1053] Katarzyna Stapor and Adrian Brueckner. Mean shift segmentation, genetic algorithms and support vectormachines for identification of glaucoma in fundus eye images. In ?, editor, Proceedings of the 4th Inter-national Conference on Computer Recognition Systems CORES’05, volume 30/2005 of Engineering, pages679–685, ?, ? 2005. Springer-Verlag, Heidelberg. †www /Springer ga05aKStapor.

[1054] Louise C. Kenny, Warwick B. Dunn, David I. Ellis, Jenny Myers, Philip N. Baker, and Douglas B. Kell.Novel biomarkers for pre-eclampsia detected using metabolomics and machine learning. Metabolomics,1(3):227–234, July 2005. ga05aLCKenny.

[1055] Lova Carlsson and Lena Krantz. Optimization of beam orientation in intensity modulated radiationtherapy using a genetic algorithm. Master’s thesis, Chalmers University of Technology, Department ofMathematics, 2005. ga05aLovaCarlsson.

[1056] M. Grujicic, C. L. Chao, and E. M. Austin. Optimization of a piezoelectric bimorph grasper for use inminimally invasive surgical applications. Proceedings of the Institution of Mechanical Engineers, Part B:Journal of Engineering Manufacture, 219(9):673–683, ? 2005. * www /Google ga05aMGrujicic.

[1057] Peter A. N. Bosman and Tanja Alderliesten. Evolutionary algorithms for medical simulations - a case studyin minimally-invasive vascular interventions. In Franz Rothlauf, editor, Proceedings of the 2005 Workshopson Genetic and Evolutionary Computation (GECCO-05), pages 125–132, Washington, D.C., 25.-26. June2005. ACM, New York. ga05aPANBosman.

[1058] Petra Zohara, Miha Kovacic, Miran Brezocnik, and Matej Podbregar. Prediction of maintenance of sinusrhythm after electrical cardioversion of atrial defibrillation by non-deterministic modelling. Europace,7(5):500–507, September 2005. †www /Europage ga05aPZohara.

[1059] Rong Zhang, Wim Verkruysse, Bernard Choi, John A. Viator, Byungjo Jung, Lars O. Svaasand, GuillermoAguilar, and J. Stuart Nelson. Determination of human skin optical properties from spectrophotometricmeasurements based on optimisation by genetic algorithms. Journal of Biomedical Optics, 10(2):024030,March/April 2005. ga05aRZhang ⇒ http://www.ncbi.nlm.nih.gov/pubmed/15910103.

[1060] Taane G. Clark, Maria De Iorio, Robert C. Griffiths, and Martin Farrall. Finding associations in densegenetic maps: A genetic algorithm approach. Human Feredity, 60(2):97–108, ? 2005. ga05aTaaneGClark.

[1061] Aysun Coskun. Identification of Quotients of Penetration of Chemicals Through Skin andMolecular Structure by Using Genetic Algorithms. PhD thesis, Gazi University, Instituteof Science and Technology, 2006. * ga06aACoskun ⇒ http://www.belgeler.com/blg/kx8/

genetik-algoritma-kullanilarak-kimyasal-maddelerin-deriden-gecis-katsayilarinin-ve-molekul-yapilarinin-bulunmasi-identification-of-quotients-of-penetration-of-chemicals-through-skin-and-molecular-structure-by-using-genetic-algorithms.

[1062] Ahmad S. Khalil, Brett E. Bouma, and Mohammad R. Kaazempur Mofrad. A combined FEM/geneticalgorithm for vascular soft tissue elasticity estimation. Cardiovascular Engineering, 6(3):95–104, September2006. ga06aASKhalil.

[1063] A. W. Sweeney, N. W. Beebe, R. D. Cooper, J. T. Bauer, and A. Townsend Peterson. Environmental factorsassociated with distribution and range limits of malaria vector anopheles farauti in Australia. Journal ofMedical Entomology, 43(5):1068–1075, September 2006. * www ga06aAWSweeney.

[1064] B. Roland, C. Di Martinelly, and F. Riane. Operating theatre optimization: A resource-constrained basedsolving approach. In ?, editor, Proceedings of the International Conference on Service Systems and ServiceManagement, page ?, ?, ? 2006. ? †[1095] ga06aBRoland.

[1065] C. B. Roberts, J. A. Best, and K. J. Suter. Dendritic processing of exitatory synaptic input in hypothalamicgonadotropin releasing-hormone neurons. Endocrinology, 147(3):1545–1555, ? 2006. ga06aCBRoberts.


http://www.belgeler.com/blg/kx8/genetik-algoritma-kullanilarak-kimyasal-maddelerin-deriden-gecis-katsayilarinin-ve-molekul-yapilarinin-bulunmasi-identification-of-quotients-of-penetration-of-chemicals-through-skin-and-molecular-structure-by-using-genetic-algorithms

http://www.belgeler.com/blg/kx8/genetik-algoritma-kullanilarak-kimyasal-maddelerin-deriden-gecis-katsayilarinin-ve-molekul-yapilarinin-bulunmasi-identification-of-quotients-of-penetration-of-chemicals-through-skin-and-molecular-structure-by-using-genetic-algorithms

Bibliography 135

[1066] Ching-Chi Hsu, Ching-Kong Chao, Jaw-Lin Wang, and Jinn Lin. Multiobjective optimization of tibial lock-ing screw design using a genetic algorithm: evaluation of mechanical performance. Journal of OrthopaedicResearch, 24(?):908–916, ? 2006. ga06aChing-ChiHsu.

[1067] Chiet Sing Chong, HeowPueh Lee, and A. Senthil Kumar. Automatic hole repairing for cranioplastyusing Bezier surface approximation. Journal of Craniofacial Surgery, 17(2):344–352, March 2006. * www/Google ga06aCSChong ⇒ http://ntrs.nasa.gov/search.jsp?R=534172&id=3&qs=N%3D4294822060.

[1068] D. Desai, C. R. Ramsey, M. Breinig, and S. L. Mahan. A topographic leaf-sequencing algorithm fordelivering intensity modulated radiation therapy. Med Phys, 33(8):2751–2756, August 2006. * PubMedga06aDDesai ⇒ http://www.ncbi.nlm.nih.gov/pubmed/16964850.

[1069] H. Fei, N. Meskens, and C. Chu. An operating theatre planning and scheduling problem in the case ofa block scheduling strategy. In ?, editor, Proceedings of the International Conference on Service Systemsand Service Management, page ?, ?, ? 2006. ? †[1095] ga06aHFei.

[1070] Isamu Kajitani, Masaya Iwata, and Tetsuya Higuchi. Ch. 3. a GA hardware engine and its applications.pages 41–63. 2006. ga06aIsamuKajitani.

[1071] Jan Tuma, J. Matecha, and J. Adamec. Numerical study of the flow behind the end-to-side anastomosis.In ?, editor, World Congress on Medical Physics and Biomedical Engineering 2006, volume 14 of IFMBEProceedings, pages 2820–2823, ?, ? 2006. Springer-Verlag. †www /Google ga06aJanTuma.

[1072] Jason Kenna Blackburn. Evaluating the Spatial Ecology of Anthrax in North America: Examining Epi-demiological Components Across Multiple Geographic Scales Using a GIS-Based Approach. PhD thesis,Louisiana State University, Graduate Faculty, 2006. ga06aJKBlackburn.

[1073] Katarzyna Stapor. Support vector clustering algorithm for identification of glaucoma in ophthalmology.Bulletin of the Polish Academy of Sciences, Technical Sciences, 54(1):139–141, ? 2006. ga06aKStapor.

[1074] Manami Nakano, Ichiro Taga, Toshiyuki Yaguchi, Akio Funakubo, and Yasuhiro Fukui. Study on op-timization of heat exchanger for oxygenator using multi-objective genetic algorithm (MOGA). ASAIOJournal, 52(2):64A, March-April 2006. * AHA ga06aManamiNakano.

[1075] Mingfeng Jiang, Ling Xia, and Guofa Shou. The use of genetic algorithms for solving the inverse problemof electrocardiography. In Proceedings of the 28th IEEE EMBS Annual International Conference, pages3907–3910, New York City, 30. August- 3. September 2006. IEEE, Piscataway, NJ. ga06aMingfengJiang.

[1076] Syoji Kobashi, N. Shibanuma, Katsuya Kondo, M. Kurosaka, and Yutaka Hata. Deformation analysisof in-vivo implant for total hip arthroplasty using multidetector-row CTBLimages. In Proceedings of theAnnual Meeting of North American Fuzzy Information processing Society NAFIPS 2006, pages 570–575,?, 9.-14. July 2006. IEEE, Piscataway, NJ. ga06aSKobashi.

[1077] A. G. Canseven, G. Tohumoglu, A. Cevik, and N. Seyhan. Formulation of low intensity direct current effectson wound healing of skin using genetic programming. In Proceedings of the 2007 15th International Confer-ence on Digital Signal Processing, pages 507–510. IEEE, Piscataway, NJ, 1.-4. July 2007. ga07aAGCanseven⇒ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=4288630&contentType=

Conference+Publications&searchField%3DSearch All%26queryText%3Dwound+healing.

[1078] A. W. Sweeney, N. W. Beebe, and R. D. Cooper. Analysis of environmental factors influencing the range ofanopheline mosquitoes in northern Australia using a genetic algorithm and data mining methods. EcologicalModelling, 203(3):375–386, May 2007. ga07aAWSweeney.

[1079] Cynthia Arslanian-Engoren and Milo C. Engoren. Using a genetic algorithm to predict evalua-tion of acute coronary syndromes. Nursing Research, 56(2):82–88, March-April 2007. * AHAga07aCArslanian-Engoren.

[1080] Chao Tao, Yu Zhang, and Jack J. Jiang. Extracting physiologically relevant parameters of vocalfolds from high-speed video image series. IEEE Transactions on Biomedical Engineering, 54(5):794–801, May 2007. ga07aChaoTao ⇒ http://ieeexplore.ieee.org/search/searchresult.jsp?query1=

high-speed+video&scope1=metadata&op1=and&query2=tao&scope2=au&op2=and&query3=zhang&scope3=

au&queryText=%28+%28%28high-speed+video%29%3Cin%3Emetadata+%29+%3Cand%3E+%28%28tao%29%

3Cin%3Eau+%29+%29%3Cand%3E+%28%28zhang%29%3Cin%3Eau+%29+&history=yes&reqloc=basic&submit=

Run+Search&queryblock=&srchlist=publist&coll1=ieeejrns&coll2=ieejrns&coll3=ieeecnfs&coll4=

ieecnfs&coll5=ieeestds&coll6=preprint&coll7=books&coll8=modules&std status=all&currweek=

25-Apr-2008&srchyr=allyr&py1=1950&py2=2008&disp=cit&maxdoc=100&ResultCount=25&SortField=

Score&SortOrder=desc.

http://ntrs.nasa.gov/search.jsp?R=534172&id=3&qs=N%3D4294822060


http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=4288630&contentType=Conference+Publications&searchField%3DSearch_All%26queryText%3Dwound+healing

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=4288630&contentType=Conference+Publications&searchField%3DSearch_All%26queryText%3Dwound+healing

http://ieeexplore.ieee.org/search/searchresult.jsp?query1=high-speed+video&scope1=metadata&op1=and&query2=tao&scope2=au&op2=and&query3=zhang&scope3=au&queryText=%28+%28%28high-speed+video%29%3Cin%3Emetadata+%29+%3Cand%3E+%28%28tao%29%3Cin%3Eau+%29+%29%3Cand%3E+%28%28zhang%29%3Cin%3Eau+%29+&history=yes&reqloc=basic&submit=Run+Search&queryblock=&srchlist=publist&coll1=ieeejrns&coll2=ieejrns&coll3=ieeecnfs&coll4=ieecnfs&coll5=ieeestds&coll6=preprint&coll7=books&coll8=modules&std_status=all&currweek=25-Apr-2008&srchyr=allyr&py1=1950&py2=2008&disp=cit&maxdoc=100&ResultCount=25&SortField=Score&SortOrder=desc









[1081] Deniz Baskent, Cheryl L. Eiler, and Brent Edwards. Using genetic algorithms with subjective input fromhuman subjects: Implications for fitting hearing aids and conclear implants. Ear & Hearing, 28(3):370–380,June 2007. * AHA ga07aDBaskent.

[1082] Davide Zerbato, Stefano Galvan, and Paolo Fiorini. Calibration of mass spring models for organ simula-tions. In Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems,pages 370–375, San Diego, CA, 29. October- 2. November 2007. IEEE, Piscataway, NJ. ga07aDZerbato.

[1083] Francesco Archetti, Stefano Lanzeni, Enza Messina, and Leonardo Vanneschi. Genetic programming forcomputational pharmacokinetics in drug discovery and development. Genetic Programming and EvolvableMachines, 8(4):413–432, December 2007. ga07aFArchetti ⇒ http://www.springerlink.com/content/

k574t0p244114q04/.

[1084] Fabio Saito Monteiro de Barros, Ducineia Barros de Aguiar, Maria Goreti Rosa-Freitas, Jose Fran-cisco Luitgards-Moura, Helen da Costa Gurgel, Nildimar Alves Honorio, Mercia Eliane de Arruda, Pan-telis Tsouris, and Simao Dias Vasconcelos. Distribution summaries of malaria vectors in the north-ern Brazilian Amazon. Journal of Vector Ecology, 32(2):161–167, December 2007. * www /Googlega07aFSMonteirodeBarros.

[1085] J. David Schaffer and Mark R. Simpson. Genetic algorithms for optimization of genome-based medicaldiagnostic tests, 2007. 26th July 2007: #20070172828 ga07aJDSchaffer.

[1086] Jason K. Blackburn, Kristina M. McNyset, Andrew Curtis, and Martin E. Hugh-Jones. Modeling thegeographic distribution of bacillus anthraxis, the causative agent of anthrax disease, for the contiguousUnide States using predictive ecological niche modeling. Am. J. Trop. Hyg., 77(6):1103–1110, ? 2007.ga07aJKBlackburn.

[1087] Karl Doerner, Axel Focke, and Walter J. Gutjahr. Multicriteria tour planning for mobile healthcarefacilities in a developing country. European Journal of Operational Research, 179(?):1078–1096, ? 2007.ga07aKarlDoerner.

[1088] M. A. Rosenman and N. Preema. Plastic surgery and genetic re-engineering in evolutionary design. In?, editor, Proceedings of the 8th WSEAS International Conference on Evolutionary Computing, pages333–341, Vancouver, BC (Canada), 19.-21. June 2007. WSEAS. ga07aMARosenman.

[1089] Maria Goreti Rosa-Freitas, Pantelis Tsouris, A. Townsend Peterson, Nildimar Alves Honørio, Fabio SaitoMonteiro de Barros, Ducineia Barros de Aguiar, Helen da Costa Gurgel, Mercia Eliane de Arruda, SimaoDias Vasconcelos, and Jose Francisco Luitgards-Moura. An ecoregional classification for the state ofRoraima, Brazil.The importance of landscape in malaria biology. Mem. Inst. Oswaldo Cruz, 102(3):349–357, June 2007. ga07aMGoretiRosa-Freitas.

[1090] Meron Gurkiewicz and Alon Korngreen. A numerical approach to ion channel modelling using whole-cellvoltage-clamp recordings and a genetic algorithm. PLoS Computational Biology, 3(8):1633–1647, August2007. ga07aMGurkiewicz.

[1091] Mark Q. Benedict, Rebecca S. Levine, William A. Hawley, and L. Philip Lounibos. Spread of the tiger:Global risk of invasion by the mosquito aedes albopictus. Vector Borne Zoonotic Diseases, 7(1):76–85, ?2007. ga07aMQBenedict.

[1092] Pierrick Legrand, Claire Bourgeois-Republique, Vincent Pean, Esther Harboun-Cohen, Jacques Levy-Vehel, Bruno Frachet, Evelyne Lutton, and Pierre Collet. Interactive evolution for cochlear implantsfitting. Genetic Programming and Evolvable Machines, 8(4):319–354, December 2007. ga07aPLegrand ⇒http://www.springerlink.com/content/k574t0p244114q04/.

[1093] Stanley Gotshall, Kathy Browder, Jessica Sampson, Terence Soule, and Richard Wells. Stochastic opti-mization of a biologically plausible spino-neuromuscular system model, a comparison with human sub-jects. Genetic Programming and Evolvable Machines, 8(4):355–380, December 2007. ga07aSGotshall ⇒http://www.springerlink.com/content/x071780j42017846/.

[1094] Stephen L. Smith and Stefano Cagnoni. Introduction to the special issue on medical applications of geneticand evolutionary computation. Genetic Programming and Evolvable Machines, 8(4):297–299, December2007. ga07aSLSmith ⇒ http://www.springerlink.com/content/g572g44n880h2274/.

[1095] Brecht Cardoen, Erik Demeulemeester, and Jeroen Belien. Operating room planning and scheduling: Aliterature review. report KBI 0807, Katholieke Universiteit Leuven, Department of Decision Sciences andInformation Management (KBI), 2008. ga08aBCardoen.

[1096] Brian J. F. Wong, Koohyar Karimi, Zlatko Devcic, CVhristine E. McLaren, and Wen-Pin Chen. Evolvingattractive faces using morphing technology and a genetic algorithm: A new approach to determining idealfacial aesthetics. Laryngoscope, 118(6):962–974, June 2008. * ga08aBrianJFWong.

http://www.springerlink.com/content/k574t0p244114q04/



http://www.springerlink.com/content/x071780j42017846/

http://www.springerlink.com/content/g572g44n880h2274/

Bibliography 137

[1097] Dah-Jye Lee, Jonathan D. Anderson, and James K. Archibald. Hardware implementation of a spline-basedgenetic algorithm for embedded stereo vision sensor providing real-time visual guidance to the visuallyimpaired. EURASIP Journal on Advances in Signal Processing, ?(?):ID 385827, ? 2008. ga08aDah-JyeLee⇒ http://www.hindawi.com/journals/asp/2008/385827.html.

[1098] Desmonf H. Foley, Leopoldo M. Rueda, A. Townsend Peterson, and Richard C. Wilkerson. Potentialdistribution of two species in the medically important anopheles minimus complex (Diptera: Culicidae).Journal of Medical Entomology, 45(5):852–860, ? 2008. ga08aDHFoley ⇒ http://www.mosquitocatalog.

org/files/pdfs/MQ0323.pdf.

[1099] Jie Lei and Yongjie Li. An approaching genetic algorithm for automatic beam angle selection in IMRTplanning. Computer Methods and Programs in Biomedicine, 93(?):257–265, ? 2008. ga08aJieLei.

[1100] Jarmo T. Alander, Antti Autere, Olli Kanniainen, Janne Koljonen, Torbjorn E. M. Nordling, and PetriValisuo. Near infrared wavelength relevance detection of ultraviolet radiation-induced erythema. Journalof Near Infrared Spectroscopy, 16(3):233–241, 2008. ga08aJTAlander.

[1101] Olivier Gayou, Shiva K. Das, Su-Min Zhou, Lawrence B. Marks, David S. Parda, and Moyed Miften. Agenetic algorithm for variable selection in logistic regression analysis of radiotherapy treatment outcomes.Med Phys, 35(12):5426–5433, December 2008. ga08aOlivierGayou ⇒ http://www.ncbi.nlm.nih.gov/

pubmed/19175102.

[1102] Simon B. Neerinckx, Andrew T. Peterson, Hubert Gulinck, Jozef Deckers, and Herwig Leirs. Geographicaldistribution and ecological niche of plague in sub-Saharan Africa. International Journal of Health Geograph-ics, 7(54):–, ? 2008. ga08aSBNeerinckx ⇒ http://www.ij-healthgeographics.com/content/7/1/54.

[1103] D. Adhikari, A. Chettri, and S. K. Barik. Modelling the ecology and distribution of highly pathogenic avianinfluenza (H5N1) in the Indian subcontinent. Current Science, 97(1):73–78, 10. July 2009. ga09aDAdhikari⇒ http://docs.google.com/viewer?a=v&q=cache:ZYd8GK bdN4J:www.ias.ac.in/currsci/

jul102009/73.pdf+2008+%27genetic+algorithm%27+GARP+ecology+%27species+distribution%

27&hl=fi&gl=fi&pid=bl&srcid=ADGEESjLnkUBG35ZdwjkbMs39MW8Q9Iatje5AVPIr4Q12OS6Qt

mtHGVQgHXgX90ksEEWPlXqcLXhIQBHjppHhUW4m6ByA5wtXvCCNhdgcEEgyEhxr2ZAf5AuIVxZ7v96ex8Wp0lKP5i&sig=

AHIEtbShPIHPeQq6UYpvYuEpfwy2-V1ipw.

[1104] Daryl P. Nazareth, Stephen Brunner, Matthew D. Jones, Harish K. Malhotra, and Mohammad Bakhtiari.Optimization of beam angles for intensity modulated radiation therapy treatment planning using geneticalgorithm on a distributed computing platform. Journal of Medical Physics, 34(3):129–132, ? 2009.ga09aDPNazareth ⇒ http://www.ncbi.nlm.nih.gov/pubmed/20098558.

[1105] Jie Lei and Yongjie Li. An approaching genetic algorithm for automatic beam angle selection in IMRTplanning. Computer Methods and Programs in Biomedicine, 93(3):257–265, March 2009. ga09aJieLei ⇒http://www.ncbi.nlm.nih.gov/pubmed/19059669.

[1106] Manuel Herrera, Joaquın Izquierdo, Idel Montalvo, Juan Gargıa-Armengol, and Jose V. Roig. Identificationof surgical practise patterns using evolutionary cluster analysis. Mathematical and Computer Modelling,?(?):?, ? 2009. (in press) ga09aManuelHerrera.

[1107] Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok, and Jim N. Treadwell. Genetic algorithm foranalysis of abdominal aortic aneurysms in radiology reports. In Proceedings of the 10th Annual Conferenceon Genetic and Evolutionary Computation GECCO 2009, pages 83–84, Portland, OR, ? 2009. ACM, NewYork. ga09aPatton ⇒ cda.ornl.gov/publications/Publication%2025948.pdf.

[1108] Richard A. J. Williams and A. Townsend Peterson. Ecology and geography of avian influenza (HPAI H5N1)transmission in the Middle East and northeastern Africa. International Journal of Health Geographics,8(1):47–, ? 2009. ga09aRAJWilliams ⇒ http://www.ij-healthgeographics.com/content/8/1/47.

[1109] Rebecca S. Levine, Krista L. Yorita, Matthew C. Walsh, and Mary G. Reynolds. A method for statisti-cally comparing spatial distribution maps. International Journal of Health Geographics, 8(7):–, ? 2009.ga09aRebeccaSLevine ⇒ http://www.ij-healthgeographics.com/content/8/1/7.

[1110] R. M. Abolfath and L. Papiez. General strategy for the protection of organs at risk in IMRT therapyof a moving body. Med Phys, 36(7):3013–3017, July 2009. * PubMed ga09aRMAbolfath ⇒ http:

//www.ncbi.nlm.nih.gov/pubmed/19673200.

[1111] Scott R. Larson, John P. DeGroote, Lyric C. Bartholomay, and Ramanathan Sugumaran. Ecologicalniche modeling of potential West Nile virus vector mosquito species in Iowa. Journal of Insect Science,10(110):1–17, 2009. ga09aSRLarson ⇒ http://www.insectscience.org/10.110/.

http://www.hindawi.com/journals/asp/2008/385827.html

http://www.mosquitocatalog.org/files/pdfs/MQ0323.pdf

http://www.mosquitocatalog.org/files/pdfs/MQ0323.pdf



http://www.ij-healthgeographics.com/content/7/1/54

http://docs.google.com/viewer?a=v&q=cache:ZYd8GK_bdN4J:www.ias.ac.in/currsci/jul102009/73.pdf+2008+%27genetic+algorithm%27+GARP+ecology+%27species+distribution%27&hl=fi&gl=fi&pid=bl&srcid=ADGEESjLnkUBG35ZdwjkbMs39MW8Q9Iatje5AVPIr4Q12OS6Qt_mtHGVQgHXgX90ksEEWPlXqcLXhIQBHjppHhUW4m6ByA5wtXvCCNhdgcEEgyEhxr2ZAf5AuIVxZ7v96ex8Wp0lKP5i&sig=AHIEtbShPIHPeQq6UYpvYuEpfwy2-V1ipw







cda.ornl.gov/publications/Publication%2025948.pdf





http://www.insectscience.org/10.110/


[1112] Xiaobo Zhou, Honghui Wang, Jun Wang, Yuan Wang, Gerard Hoehn, Joseph Azok, Marie-Luise Brennan,Stanley L. Hazen, King Li, Shih-Fu Chang, and Stephen T. C. Wong. Indentification of biomarkers forrisk stratification of cardiovascular events using genetic algorithm with recursive local floating search.Proteomics, 9(?):2286–2294, ? 2009. ga09aXiaoboZhou.

[1113] Xingen Wu, Ivan A. Brezovich, and John B. Fiveash. Bi- and tri-exponential fitting to TG-43 radial dosefunctions of brachytherapy sources based on genetic algorithm. Brachytherapy, 8(4):361–366, October-December 2009. * www ga09aXingenWu ⇒ http://www.ncbi.nlm.nih.gov/pubmed/19230792.

[1114] Amorn Wongsarnpigoon and Warren M. Grill. Energy-efficient waveform shapes for neural stimu-lation revealed with a genetic algorithm. Journal of Neural Engineering, 7(046009):1–11, ? 2010.ga10aAWongsarnpigoon ⇒ http://iopscience.iop.org/1741-2552/7/4/046009/.

[1115] D. H. Foley, T. A. Klein, H. C. Kim, T. Brown, R. C. Wilkerson, and L. M. Rueda. Validation of ecologicalniche models for potential malaria vectors in the Republic of Korea. Journal of the American MosquitoControl Association, 26(2):210–213, June 2010. ga10aDHFoley⇒ http://www.ncbi.nlm.nih.gov/pubmed/

20649131.

[1116] A. Srinivas Reddy, Sunil Kumar, and Rajni Garg. Hybrid-genetic algorithm based descriptor optimizationand QSAR models for predicting the biological activity of Tipranavir analogs for HIV protease inhibition.Journal of Molecular Graphics and Modelling, 28(?):852–862, ? 2010. ga10aReddy ⇒ http://www.ncbi.

nlm.nih.gov/pubmed/20399695.

[1117] Sabbir U. Ahmad and Stuart W. A. Bergen. A genetic algorithm approach to the inverse prob-lem of treatment planning for intensity-modulated radiotherapy. Biomedical Signal Processing andControl, 5(?):189–195, ? 2010. ga10aSabbirUAhmad ⇒ http://www.sciencedirect.com/science?

ob=ArticleURL& udi=B7XMN-4YT09K1-1& user=5391025& coverDate=07%2F31%2F2010& rdoc=1& fmt=

high& orig=search& origin=search& sort=d& docanchor=&view=c& acct=C000067123& version=

1& urlVersion=0& userid=5391025&md5=1759b3646a31d845c1eafb14a1854539&searchtype=a.

[1118] Satoshi Sasaki, Alexis J. Comber, Hiroshi Suzuki, and Chris Brunsdon. Using genetic algorithms tooptimise current and future health planning - the example of ambulance locations. International Journalof Health Geographics, 9(4):–, ? 2010. ga10aSatoshiSasaki ⇒ http://www.ij-healthgeographics.com/

content/pdf/1476-072x-9-4.pdf.

[1119] S. Murugan and S. Radhakrishnan. Automated ischemic beat classification using genetic algorithmbased principal component analysis. International Journal of Healthcare Technology and Management,11(3):151–162, ? 2010. * ga10aSMurugan⇒ http://www.inderscience.com/search/index.php?action=

record&rec id=34086.

[1120] Sunny Mak, Brian Klinkenberg, Karen Bartlett, and Murray Fyfe. Ecological niche modeling of crypto-coccus gattii in British Columbia, Canada. Environmental Health Perspectives, 118(5):653–658, May 2010.ga10aSunnyMak ⇒ http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2866681/.

[1121] Timothy Andrew Joyner, Larissa Lukhnova, Yerlan Pazilov, Gulnara Temiralyeva, Martin E. Hugh-Jones,Alim Aikimbayev, and Jason K. Blackburn. Modeling the potential distribution of bacillus anthracis undermultiple climate change scenarios for Kazakhstan. PLoS ONE, 5(3):e9596, March 2010. ga10aTAJoyner

⇒ http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0009596.

[1122] Alessandro Battezzato, Laura Gastaldi, and Stefano Pastorelli. Evaluation of the factors affecting theoptimal fiducial configurations calculated through a genetic-algorithm-based methodology in image-guidedneurosurgery. The International Journal of Medical Robotics and Computer Assisted Surgery, 7(4):441–451,December 2011. ga11aAlessandroBattezzato ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22113978.

[1123] Henna H. Harkonen, Johanna M. Mattsson, Juha A. E. Maatta, Ulf-Hakan Stenman, Hannu Koisti-nen, Sanni Matero, Bjorn Windshugel, Antti Poso, and Maija Lahtela-Kakkonen. The discovery of com-pounds that stimulate the activity of kallikrein-related peptidase 3 (KLK3). ChemMedChem, 6(12):2170–2178, December 2011. ga11aHennaHHarkonen ⇒ http://onlinelibrary.wiley.com/doi/10.1002/cmdc.

201100349/full.

[1124] J. Fiege, B. McCurdy, P. Potrebko, H. Champion, and A. Cull. PARETO: A novel evolutionary opti-mization approach to multiobjective imrt planning. Medical Physics, 38(9):5217–5229, September 2011. *PubMed ga11aJFiege ⇒ http://www.ncbi.nlm.nih.gov/pubmed/21978066.

[1125] Juan D. Gomez, Eliecer Herrera Uribe, and Esteban M. Correa. Eterno resplandor de una mente sin re-cuerdos: se me dejas te suprimo. Scientia et Technica Ano, XVI(48):81–86, August 2011. ga11aJuanDGomez⇒ http://revistas.utp.edu.co/index.php/revistaciencia/article/view/1243.


http://iopscience.iop.org/1741-2552/7/4/046009/





http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B7XMN-4YT09K1-1&_user=5391025&_coverDate=07%2F31%2F2010&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_acct=C000067123&_version=1&_urlVersion=0&_userid=5391025&md5=1759b3646a31d845c1eafb14a1854539&searchtype=a




http://www.ij-healthgeographics.com/content/pdf/1476-072x-9-4.pdf

http://www.ij-healthgeographics.com/content/pdf/1476-072x-9-4.pdf

http://www.inderscience.com/search/index.php?action=record&rec_id=34086

http://www.inderscience.com/search/index.php?action=record&rec_id=34086

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2866681/



http://onlinelibrary.wiley.com/doi/10.1002/cmdc.201100349/full

http://onlinelibrary.wiley.com/doi/10.1002/cmdc.201100349/full


http://revistas.utp.edu.co/index.php/revistaciencia/article/view/1243

Bibliography 139

[1126] Sabri Kocer and M. Rahmi Canal. Classifying epilepsy diseases using artificial neural networks andgenetic algorithm. Journal of Medical Systems, 35(4):489–498, ? 2011. ga11aSabriKocer ⇒ http:

//www.springerlink.com/content/j362366625471648/?MUD=MP.

[1127] Xiangzhen Kong, Weihua Zhu, Zhimin Zhao, Xiangyan Li, Hui Wang, Ran Chen, Chuchu Chen, FengZhu, and Xiaoying Guo. Fluorescence spectroscopic determination of triglyceride in human serum withwindow genetic algorithm partial least squares. Journal of Chemometrics, 26(1):25–33, January 2012.ga11aXiangzhenKong ⇒ http://onlinelibrary.wiley.com/doi/10.1002/cem.1422/pdf.

[1128] Ana Carolina de Oliveira Neves, Aurigena Antunes de Araujo, Bruna Laıs Silva, Patrıcia Valderrama,Paulo Henrique Marco, and Kassio Michell Gomes de Lima. Near infrared spectroscopy and multi-variate calibration for simultaneous determination of glucose, triglycerides and high-density lipoproteinin animal plasma. Journal of Pharmaceutical and Biomedical Analysis, 66(?):252–257, 23. March 2012.ga12aACdeOliveiraNeves ⇒ http://www.ncbi.nlm.nih.gov/pubmed/22483641.

[1129] Alexandra Constantin, Adam Elkhaled, Llewellyn Jalbert, Radhika Srinivasan, Soonmee Cha, Susan M.Chang, Ruzena Bajcsy, and Sarah J. Nelson. Identifying malignant transformations in recurrent lowgrade gliomas using high resolution magic angle spinning spectroscopy. Artificila Intelligence in Medicine,55(1):61–70, May 2012. ga12aAConstantin ⇒ http://www.sciencedirect.com/science/article/pii/

S0933365712000152.

[1130] Ahmad Fadzil M. Hani, Hermawan Nugroho, Norashikin Shamsudin, and Roshidad Baba. Melanin deter-mination using optimised inverse Monte Carlo for skin-light interaction. In Proceedings of the 2012 4thInternational Conference on Intelligent and Advanced Systems (ICIAS2012), pages 314–318, ?, ? 2012.IEEE, Piscataway, NJ. ga12aAhmadFadzilMHani ⇒ http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=

&arnumber=6306209.

[1131] Harikumar Rajaguru, Vijayakumar Thangavel, and Vinoth Kumar Bojan. Fuzzy Genetic Algo-rithms, SVM Methods for Epilepsy Classification: Fuzzy Genetic Al gorithms, SVM and Statisti-cal Analysis in Classification of Diabetic Epilepsy Risk Level from EEG Signal. LAP LAMBERTAcademic Publishing, ?, 2012. †Amazon ga12aHarikumarRajaguru ⇒ http://www.amazon.com/

Genetic-Algorithms-Methods-Epilepsy-Classification/dp/3659133248.

[1132] J. Galeano, R. Jolivot, Y. Benezeth, F. Marzani, J. F. Emile, and D. Lamarque. Analysis of mul-tispectral images of excised colon tissue samples based on genetic algorithms. In Proceedings of the2012 8th International Conference on Signal Image Technology and Internet Based Systems (SITIS),volume ?, pages 833–838, ?, 25.-29. November 2012. IEEE, Piscataway, NJ. ga12aJGaleano ⇒ http:

//ieeexplore.ieee.org/xpls/abs all.jsp?arnumber=6395177&tag=1.

[1133] Samanta Rosati, Gabriella Balestra, and Filippo Molinari. Feature selection applied to the time-frequencyrepresentation of muscle near-infrared spectroscopy (NIRS) signals: Characterization of diabetic oxygena-tion patterns. Journal of Mechanics in Medicine and Biology, 12(4):1240013–1–1240013–14, ? 2012.ga12aSamantaRosati ⇒ http://porto.polito.it/2501947/2/NIRS diabetes feature extraction.pdf.

[1134] Manuel Fogue, Piedad Garrido, Francisco J. Martinez, Juan-Carlos Cano, Carlos T. Calafate, and PietroManzoni. A novel approach for traffic accidents sanitary resource allocation based on multi-objectivegenetic algorithms. Expert Systems with Applications, 40(1):323–336, January 2013. ga13aManuelFogue

⇒ http://www.sciencedirect.com/science/article/pii/S0957417412009116.

[1135] Yazdan Shirvany, Fredrik Edelvik, Stefan Jakobsson, Anders Hedstrom, and Mikael Persson. Applica-tion of particle swarm optimization in epileptic spike EEG source localization. Applied Soft Comput-ing, 13(5):2515–2525, May 2013. ga13aYazdanShirvany ⇒ http://www.sciencedirect.com/science/

article/pii/S1568494612005194.

[1136] Michael von Rad. Anlage und umwelt. Bemerkungen zu W. Braeutigams Ursachen bei neurotischenund psychosomatischen Erkrankungen. [Disposotion and environment: Comments on W. Braeutischen’setiologocal questions regarding neurotic and psychosomatic disorders. . Zeitschrift fur PsychosomatischeMedizin und Psychoanalyse, 36(3):213–215, ? 1990. * PsycINFO1991-70782-001 ga90aMvonRad.

[1137] Richard Comely and Walter S. Kuklinski. Application of genetic optimization to medical image seg-mentation. In Proceedings of the 1994 20th Annual Northeast Bioengineering Conference, pages 76–79,Springfield, MA, 17.-18. March 1994. IEEE, New York. * EI M177024/94 ga94aComely.

[1138] C. D. Edirisinghe, R. S. Acharya, and C. Sibata. Optimizing radiation-therapy planning using geneticalgorithms. In N. F. Sheppard, M. Eden, and G. Kantor, editors, Proceedings of the 16th Annual Interna-tional Conference of the IEEE Engineering in Medicine and Biology Society – Engineering Advances: NewOpportunities for Biomedical Engineering, pages 1384–1385, Baltimore, MD, 3.-6. November 1994. IEEE,New York. †P65120/95 ga94aEdirisinghe.

http://www.springerlink.com/content/j362366625471648/?MUD=MP

http://www.springerlink.com/content/j362366625471648/?MUD=MP

http://onlinelibrary.wiley.com/doi/10.1002/cem.1422/pdf


http://www.sciencedirect.com/science/article/pii/S0933365712000152




http://www.amazon.com/Genetic-Algorithms-Methods-Epilepsy-Classification/dp/3659133248

http://www.amazon.com/Genetic-Algorithms-Methods-Epilepsy-Classification/dp/3659133248



http://porto.polito.it/2501947/2/NIRS_diabetes_feature_extraction.pdf





[1139] Mehdi Elketroussi and David P. Fan. Optimization of simulation models with GADELO: a multi-populationgenetic algorithm. Int. J. Biomed. Comput. (Ireland), 35(1):61–77, February 1994. * MEDLINE EEA33493/94 EI M178747/94 ga94aElketroussi.

[1140] Gary Allen Ezzell. Genetic and geometric optimization of three-dimensional radiation therapy treatmentplanning. PhD thesis, Wayne State University, 1994. * DAI Vol 56 No 2 ga94aEzzell.

[1141] Madjid Fathi, Christopher Tresp, Jens Hiltner, and Kay Becker. Fuzzy-set optimization in use of medicalMR-image analysis based on evolution strategies. In Proceedings of the Advances in Fuzzy Logic, NeuralNetworks and Genetic Algorithms, pages 135–142, Nagoya (Japan), 9.-10. August 1994 1994. Springer-Verlag, Berlin (Germany). ga94aFathi ⇒ ga94WWW.

[1142] D. Flotzinger, M. Pregenzer, and G. Pfurtscheller. Feature selection with distinction sensitive learningvector quantisation and genetic algorithms. In Proceedings of ICCI94/Neural Networks, volume 6, pages3448–3451, Orlando, FL, 26. June - 2. July 1994. IEEE, New York, NY. ga94aFlotzinger.

[1143] S. Kishi, K. Sugiyama, M. Arafuka, and Y. Hasegawa. Knowledge extraction from neural networks usinggenetic algorithms. In ?, editor, Proceedings of the International Conference on Neural Networks andExpert Systems in Medicine and Healthcare, pages 53–58, Plymouth (UK), 23.-26. August 1994. Universityof Plymouth, Plymouth (UK). * CCA 41737/95 ga94aKishi.

[1144] K. Matsui, M. Sase, and Y. Kosugi. Medical image mapping using collaborative genetic algorithm. In N. F.Sheppard, M. Eden, and G. Kantor, editors, Proceedings of the 16th Annual International Conference ofthe IEEE Engineering in Medicine and Biology Society – Engineering Advances: New Opportunities forBiomedical Engineering, pages 612–613, Baltimore, MD, 3.-6. November 1994. IEEE, New York. * CCA66721/95 P65120/95 ga94aMatsui.

[1145] Daniel R. Thedens. Detector design by genetic programming for automated border definition in cardiacmagnetic resonance images. In John R. Koza, editor, Genetic Algorithms at Stanford 1994, page ?, Stanford,CA, Fall 1994. Stanford Bookstore. †conf.prog ga94aThedens.

[1146] Stefano Cagnoni, A. B. Dobrzeniecki, J. C. Yanch, and Riccardo Poli. Interactive segmentation of multi-dimensional medical data with contour-based application of genetic algorithms. In Proceedings of theICIP-94, volume 3, pages 498–502, Austin, TX, 13.-16. November 1994. IEEE Computer Society Press,Los Alamitos , CA. * EEA81543/94 ga94bCagnoni.

[1147] C. D. Edirisinghe, R. S. Acharya, and C. Sibata. Optimization radiation therapy planning using genetic al-gorithms. In Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicineand Biology Society, volume 2, pages 1384–1385, Baltimore, MD, 3.-6. November 1994. IEEE, New York,NY. †EEA7645/95 ga94bEdirisinghe.

[1148] Clare Bates Congdon. A comparison of genetic algorithms and other machine learning systems on acomplex classification task from common disease research. PhD thesis, The University of Michigan, 1995.* DAI Vol 56 No 4 ga95aCongdon.

[1149] O. C. L. Haas, K. J. Burnham, M. H. Fisher, and J. A. Mills. Genetic algorithm applied to radiotherapytreatment planning. In Pearson et al. [1640], pages 432–435. ga95aHaas.

[1150] A. V. Sebald and David B. Fogel. Controlling blood pressure during surgery using evolutionary program-ming. In McDonnell et al. [1648], page ? †conf.prog ga95aSebald.

[1151] Peter D. Turney. Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision treeinduction algorithm. Journal of Artificial Intelligence Research, 2(?):369–409, ? 1995. ga95aTurney.

[1152] N. Williams, J. B. Minster, G. Masters, and F. Gilbert. Application of evolutionary programming tohypocenter determination. In McDonnell et al. [1648], page ? †conf.prog ga95aWilliams.

[1153] Daniel K. Gehlhaar, Gennady M. Verkhivker, Paul A. Rejto, Christopher J. Sherman, David B. Fogel,Lawrence J. Fogel, and Stephan T. Freer. Molecular recognition of the inhibitor AG-1343 by HIV-1 pro-tease: conformationally flexible docking by evolutionary programming. Chemistry and Biology, 2(5):317–324, May 1995. ga95bGehlhaar.

[1154] Michael Levin. Use of genetic algorithms to solve biomedical problems. M. D. Comput. (USA), 12(3):193–199, May-June 1995. * CCA 66800/95 ga95bLevin.

[1155] Riccardo Poli, Stefano Cagnoni, and Guido Valli. Genetic design of optimum linear and nonlinear QRSdetectors. IEEE Transactions on Biomedical Engineering, 42(11):1137–1141, November 1995. ga95bPoli.

[1156] Don E. Waagen, M. D. Parsons, John R. McDonnell, and F. L. Datz. Evolving polydistributional mixturesfor mammographic feature modeling and analysis. In ICEC’95 [1653], pages 783–787. †prog. ga95bWaagen.

ga94WWW

Bibliography 141

[1157] David B. Fogel, Eugene C. Wasson III, and Edward M. Boughton. Evolving neural networks for detectingbreast cancer. Cancer Letters, 96(?):49–53, ? 1995. ga95hFogel.

[1158] Jesus Silva Castro. Electrocardiographic signal analysis using genetic algorithms (GAs). In Proceed-ings of the 1996 23rd Annual Meeting on Computers in Cardiology, pages 445–448, Indianapolis, IN, 8.-11. September 1996. IEEE Computer Society Press, Los Alamitos, CA. * EEA 49615/97 EI M034806/97ga96aCastro.

[1159] R. Dybowski, P. Weller, R. Chang, and V. Gant. Prediction of outcome in critically ill patients usingartificial neural network synthesised by genetic algorithm. Lancet, 347(9009):1146–1150, 27. April 1996.†MEDLINE ga96aDybowski.

[1160] Gary Allen Ezzell. Genetic and geometric optimization of three-dimensional radiation therapy treatmentplanniong. Medical Physics, 23(3):293–305, March 1996. * ISI ga96aGAEzzell.

[1161] John H. Holmes. Evolution-Assisted Discovery of Sentinel Features in Epidemiologic Surveillance. PhDthesis, Drexel University, 1996. †[1664] ga96aJHHolmes.

[1162] B. Kloppel and G. Winterer. Relapse prediction with alcoholics: a combined neural network/geneticalgorithm approach using EEG. In Proceedings of the Fourth European Congress on Intelligent Techniquesand Soft Computing, volume 3, pages 2112–2116, Aachen (Germany), 2.-5. September 1996. Verlag Mainz,Aachen (Germany). †CCA49028/98 ga96aKloppel.

[1163] J. LeFevre. Pareto optimisation of the control of a cardiac assist device using multicriteria, rank and niche-based genetic algorithms hybridised with breeding and gradient methods. In Proceedings of the Symposiumon Control, Optimization and Supervision, volume 2, pages 1141–1145, Lille, France, 9.-12. July 1996. GerfEC Lille - Cite Scientifique, Lille, France. †CCA47394/97 ga96aLeFevre.

[1164] Derek A. Linkens and H. Okola Nyongesa. Hierarchical multivariable fuzzy controller for learning withgenetic algorithms. International Journal of Control, 63(5):865–883, 20. March 1996. ga96aLinkens.

[1165] Mark Langer, Richard Brown, S. Morrill, R. Lane, and O. Lee. A generic genetic algorithm for generatingbeam weights. Medical Physics, 23(6):965–971, June 1996. ga96aMLanger.

[1166] Craig Niederberger. Computational tools for the modern andrologist. Journal of Andrology, 17(5):462–466,1996. †BAb37321 ga96aNiederberger.

[1167] O. C. L. Haas, K. J. Burnham, J. A. Mills, C. R. Reeves, and M. H. Fisher. Hybrid genetic algorithmsapplied to beam orientation in radiotherapy. In Proceedings of the Fourth European Congress on IntelligentTechniques and Soft Computing, volume 3, pages 2050–2055, Aachen (Germany), 2.-5. September 1996.Verlag Mainz, Aachen (Germany). †CCA56031/98 ga96aOCLHaas.

[1168] Constantinos S. Pattichis and Christos N. Schizas. Genetic-based machine learning for the assessmentof certain nuromuscular disorders. IEEE Transactions on Neural Networks, 7(2):427–439, March 1996.ga96aPattichis.

[1169] N. Tsuda, K. Kuroda, and Y. Suzuki. An inverse method to optimize heating conditions in RF-capacitivehyperthermia. IEEE Transactions on Biomedical Engineering, 43(10):1029–1037, 1996. †EEA110911/96ga96aTsuda.

[1170] Kimmo Uutela, Matti Hamalainen, and Riitta Salmelin. Global optimization in the localization of brainactivity. Report TKK-F-A759, Helsinki University of Technology, Low Temperature Laboratory, 1996.ga96aUutela.

[1171] Gennady M. Verkhivker, Paul A. Rejto, Daniel K. Gehlhaar, and Stephan T. Freer. Exploring the energylandscapes of molecular recognition by a genetic algorithm: Analysis of the requirements for robust dockingof HIV-1 protease and FKBP-12 complexes. Proteins: Structure, Function, and Genetics, 25(3):342–353,July 1996. ga96aVerkhivker.

[1172] Yan Yu and M. C. Schell. A genetic algorithm for the optimization of prostate implants. Medical Physics,23(?):2085–2091, ? 1996. †[1001] ga96aYanYu.

[1173] Y. Chen, M. Narita, M. Tsuji, and S. D. Sa. A genetic algorithm approach to optimization for the radi-ological worker allocation problem - discussions on different hard constraints. In Proceedings of the NinthInternational Congress of the International Radiation Protection Association, volume 4, pages D457–D459,Vienna, Austria, 14.-19. April 1996. Int. Radiation Protection Assoc., Montreal. †P74208 ga96aYChen.

[1174] Mitsuhiko Hasegawa, Hiroyuki Matsumoto, and Akira Shionoya. GA-based estimation method for humanmuscle parameter in elbow flexion. Nippon Kikai Gakkai Ronbunshu C Hen, 62(596):1426–1432, 1996. †EIM120478/96 ga96bHasegawa.


[1175] Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie, Michell M. Goodsitt, and Dorit D.Adler. Classification of mass and normal breast-tissue-feature-selection using a genetic algorithm. InDigital Mammography ’96, pages 379–384, 1996. †P74190 ga96bSahiner.

[1176] Yan Yu and M. C. Schell. A genetic algorithm for the optimization of prostate implants. Medical Physics,23(12):2085–2091, 1996. †BAb59473 ga96bYanYu.

[1177] Y. Chen, M. Narita, M. Tsuji, and S. Sa. A genetic algorithm approach to optimization for the radiologicalworker allocation problem. Health Physics, 70(2):180–186, February 1996. †MEDLINE ga96bYChen.

[1178] Alan C. Rigby, James D. Baleja, Leling Li, Lee G. Pedersen, Barbara C. Furie, and Bruce Furie. Roleof γ-carboxyglutamic acid in the calcium-induced structural transition of conantokin G, a conotoxin fromthe marine snail conus geographus. Biochemistry, 36(50):15677–15684, 16. December 1997. ga97aACRigby.

[1179] C. Albani, B. Villmann, and Th. Villmann. Application of genetic algorithms to the problem of newclustering of psychological categories using real clinical data sets. In ?, editor, Proceedings of the Interna-tional Conference on Computational Intelligence, Lecture Notes in Computer Science, page ?, Dortmund(Germany), 28.-30. April 1997. Springer-Verlag, Berlin. (to appear) †conf. prog. ga97aAlbani.

[1180] A. Y. Alkhalifa, M. J. Niccolai, and W. J. Nowack. Application of the genetic algorithm to nutritionalcounseling. In A. D.Puckett J. D. Bumgardner, editor, Proceedings of the 1997 16th Southern BiomedicalEngineering Conference, Biloxi, MS, 4.-6. April 1997. IEEE, New York, NY. †P74944 ga97aAlkhalif.

[1181] R. Baumgart-Schmitt, W. M. Herrmann, R. Eilers, and F. Bes. On the use of neural network techniquesto analyse sleep EEG data. first communication: application of evolutionary and genetic algorithms toreduce the feature space and to develop classification rules. Neuropsychobiology, 36(?):194–210, ? 1997.†[1258] ga97aBaumgart-Schmitt.

[1182] Basilio Sierra and Pedro Larranaga. Predicting survival in malignant skill melanoma using Bayesian net-works automatically induced by genetic algorithms - an empirical-comparison between different approaches.Artificial Intelligence in Medicine, 14(1-2):215, 1997. †P82305 ga97aBSierra.

[1183] C. P. Wong and M. J. Pont. Automated parameter for a computer simulation of auditory nerve fibreactivity using genetic algorithms. In George D. Smith and Nigel C. Steele, editors, Proceedings of theInternational Conference on Artificial Neural Networks and Genetic Algorithms, pages 98–102, Norwich,UK, 2.-4. April 1997. Springer-Verlag, Berlin. ga97aCPWong.

[1184] David B. Fogel, Eugene C. Wasson III, Edward M. Boughton, V. W. Porto, and J. W. Shively. Initialresults of training neural networks to detect breast cancer using evolutionary programming. ControlCybern. (Poland), 26(3):497–510, 1997. †CCA15927/98 ga97aDBFogel.

[1185] Heitor S. Lopes, M.S. Coutinho, and W. C. de Lima. An evolutionary approach to simulate cognitivefeedback learning in medical domain. In Elie Sanchez, Toshio Shibata, and Lotfi A. Zadeh, editors,Genetic Algorithms and Fuzzy Logic Systems, pages 193–207. World Scientific, Singapore, 1997. †Lopesga97aHSLopes.

[1186] M. A. Janssen and J. M. Martens. Modeling malaria as a complex adaptive system. Artificial Life,3(3):213–236, 1997. †BA3987 ga97aJanssen.

[1187] Miles F. Jefferson, Neil Pendleton, Sam B. Lucas, and Michael A. Horan. Comparison of a genetic algorithmneural network with logistic regression for predicting outcome after surgery for patients with nonsmall celllung carcinoma. Cancer Letters, 79(7):1338–1342, 1997. †BAb129197 ga97aJefferso.

[1188] J. Y. Ke, K. S. Tang, and K. F. Man. Genetic fuzzy classifier for benchmark cancer diagnosis. In Proceedingsof the 23rd International Conference on Industrial Electronics, Control, and Instrumentation, volume 3,pages 1063–1067, New Orleans, LA, 10.-14. November 1997. IEEE. * www /IEEE ga97aJYKe.

[1189] Jorma Laurikkala. Parameter evaluation and genetic-based rule learning for the differential diagnosis offemale urinary incontinence. Tech. lic. thesis, University of Kuopio, Department of Computer Science andApplied Mathematics, 1997. ga97aLaurikkala.

[1190] M. N. Ahmed, Sameh M. Yamany, Elsayed E. Hemayed, and Aly A. Farag. 3D-model building of the jawimpression. In Richard N. Ellson and Joseph H. Nurre, editors, Three-Dimensional Image Capture, volumeSPIE-3023, pages 87–97, ?, March 1997. The International Society for Optical Engineering. * www/SPIEWeb ga97aMNAhmed.

[1191] O. C. L. Haas, K. J. Burnham, and J. A. Mills. On improving physical selectivity in the treatment ofcancer: a systems modelling and optimisation approach. Control Engineering Practice, 5(12):1739–1745,1997. †PA21977/98 ga97aOCLHaas.

Bibliography 143

[1192] V. Proutski, M. W. Gaunt, E. A. Gould, and E. C. Holmes. Secondary structure of the 3’-untranslatedregion of yellow fever virus. Journal of General Virology, 78(?):1543–1549, ? 1997. †David E. Clark/bibga97aProutski.

[1193] Suman K. Mitra and S. N. Sarbadhikari. Iterative function system and genetic algorithm-based EEGcompression. Medical Engineering and Physics, 19(7):605–617, October 1997. ga97aSKMitra.

[1194] T. Olmez. Classifiation of ECG waveforms by using RCE neural networks and genetic algorithms. Elec-tronics Letters, 33(18):1561–1562, 1997. †EI M010399/98 ga97aTOlmez.

[1195] Pedro Larra naga, Basilio Sierra, M. J. Gallego, M. J. Michelena, and J. M. Picaza. Learning Bayesiannetworks by genetic algorithms: a case study in the prediction of survival in malignant skin melanoma. InProceedings of the 6th Conference on Artificial Intelligence in Medicine Europe, pages 261–272, Grenoble(France), 23.-26. March 1997. Springer-Verlag, Berlin (Germany). †CCA68337/97 ga97bLarranaga.

[1196] Peter E. Undrill, Konstantinos K. Delibasis, and George G. Cameron. An application of genetic algorithmsto geometric model-guided interpretation of brain anatomy. Pattern Recognition, 30(2):217–227, February1997. ga97bUndrill.

[1197] Xin Yao and Yong Liu. A new evolutionary system for evolving artificial neural networks. IEEE Transac-tions on Neural Networks, 8(3):694–713, May 1997. ga97bYao.

[1198] Basilio Sierra and Pedro Larranaga. Predicting survival in malignant skin melanoma using Bayesiannetworks automatically induced by genetic algorithms. An empirical comparison between different ap-proaches. Artificial Intelligence in Medicine, 14(1-2):215–230, 10. September 1998. * www /ScienceDirectga98aBasilioSierra.

[1199] R. Baumgart-Schmitt, W. M. Herrmann, and R. Eilers. On the use of neural network techniques to analysesleep EEG data. third communication: robustification of the classificator by applying an algorithm obtainedfrom 9 different networks. Neuropsychobiology, 37(?):49–58, ? 1998. †[1258] ga98aBaumgart-Schmitt.

[1200] B. J. Carnahan and M. S. Redfern. Building a low back injury risk classifier using evolutionary computation.In Proceedings of the Human Factors and Ergonomics Society, volume 2, pages 881–885, Chicago, IL(USA), 5.-9. October 1998. Human Factors & Ergonomics Soc, Santa Monica, CA (USA). †CCA67886/99ga98aCarnahan.

[1201] Ding-Horng Chen and Yung-Nien Sun. Self-learning contour finding algorithm for echocardiac analysis. InKenneth M. Hanson, editor, Medical Imaging 1998: Image Processing, volume SPIE-3338, pages 971–981,?, June 1998. The International Society for Optical Engineering. * www/SPIE Web ga98aD-HChen.

[1202] Du-Yih Tsai and S. Watanabe. A method for optimisation of fuzzy reasoning by genetic algorithms andits application to discrimination of myocardial heart disease. In Conference Record. 1998 IEEE NuclearScience Symposium, volume 3, pages 1756–1761, Toronto, Ont., Canada, 8.-14.November 1998. IEEE,Piscataway, NJ. * www/IEEE ga98aD-YTsai.

[1203] E. D. Frederick and C. E. Floyd. Analysis of mammographic findings and patient history data with geneticalgorithms for the prediction of breast cancer biopsy outcome. volume SPIE-3338, pages 241–245. Proc.SPIE - Int. Soc. Opt. Eng. (USA), 1998. †PA39678/99 ga98aEDFrederick.

[1204] H. Handels, T. Ross, J. Kreusch, H. H. Wolff, and S. J. Poppl. A new approach for automatic recognition ofmelanoma in profilometry-optimized feature selection using genetic algorithms. volume SPIE-3338, pages684–692. Proc. SPIE - Int. Soc. Opt. Eng. (USA), 1998. †PA39618/99 ga98aHandels.

[1205] M. F. Jefferson, N. Pendleton, S. Mohamed, E. Kirkman, R. A. Little, S. B. Lucas, and M. A. Horan. Pre-diction of hemorrhagic blood loss with a genetic algorithm neural network. Journal of Applied Physiology,84(1):357–361, 1998. †BA87806 ga98aJefferson.

[1206] Jeffrey Sniffen Taylor. Computational biology: Methods in automated molecular docking with applicationsin industrial virology and antibody-antigen recognition. PhD thesis, University of Pennsylvania, 1998. *www /UMI ga98aJeffreySTaylor.

[1207] N. Kumaravel and N. Nithiyanandam. Genetic-algorithm cancellation of sinusoidal powerline interfer-ence in electrocardiograms. Medical & Biological Engineering & Computing, 36(2):191–196, March 1998.ga98aKumaravel.

[1208] Jorma Laurikkala and Martti Juhola. A genetic-based machine learning system to discover the diagnosticrules for female urinary incontinence. Computer Methods and Programs in Biomedicine, 55(?):217–228, ?1998. ga98aLaurikkala.


[1209] Leming M. Shi, Yi Fan, Timothy G. Myers, Patrick M. O’Connor, Kenneth D. Paull, Stephen H. Friend,and John N. Weinstein. Mining the NCI anticancer drug discovery databases: genetic function approx-imation for the QSAR study of anticancer ellipticine analogues. Journal of Chemical Information andComputer Sciences, 38(2):189–199, March/April 1998. ga98aLMShi.

[1210] Nicolaos A. Mouravliansky, George K. Matsopoulos, Konstantinos K. Delibasis, and Konstantina S. Nikita.Automatic retinal registration using global optimization techniques. In Proceedings of the 20th AnnualInternational Conference of the IEEE Engineering in Medicine and Biology Society, volume 2, pages 567–570, Hong Kong (China), 29. oct- 1. nov ? 1998. IEEE, Piscataway, NJ. ga98aMouravliansky.

[1211] M. Nayebzadeh, H. Bigdeli, Z. S. Hosseini, and J. Soltanian. Real-time identification of fetal arrhythmiausing a genetic algorithm. In Proceedings of the 6th European Congress on Intelligent Techniques and SoftComputing, volume 3, pages 1867–1871, Aachen (Germany), 7.-10. September 1998. Verlag Mainz, Aachen(Germany). †CCA84599/99 ga98aNayebzad.

[1212] O. C. L. Haas, K. J. Burnham, and J. A. Mills. Hybrid optimisation techniques for radiotherapy treatmentplanning. In Proceedings of the 1998 IEEE International Conference on Control Applications, volume 1,pages 368–372, Trieste, Italy, 1.-4. September 1998. IEEE, New York, NY. †PA23757/99 ga98aOCLHaas.

[1213] P. Kokol, V. Podgorelec, and I. Malcic. Diagnostic process optimisation with evolutionary programming.In Proceedings of the 11th IEEE Symposium on Computer-Based Medical Systems, pages 62–67, Lubbock,TX (USA), 12.-14. June 1998. IEEE Computer Society Press, Los Alamitos , CA. ga98aPKokol.

[1214] V. Podforelec and P. Kokol. Evolutionary construction of medical decision trees. In Proceedings of the20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, volume 3,pages 1202–1205, Hong Kong (China), 29. oct- 1. nov ? 1998. IEEE, Piscataway, NJ. †CCA84679/99ga98aPodforelec.

[1215] Qing Ding, Gary W. Small, and Mark A. Arnold. Genetic algorithm-based wavelength selection for thenear-infrared determination of glucose in biological matrixes: initialization strategies and effects of spectralresolution. Analytical Chemistry, 70(?):4472–4479, ? 1998. ga98aQingDing.

[1216] S. Baluja and Dan Simon. Evolution-based methods for selecting point data for object localization: appli-cations to computer-assisted surgery. Int. J. Artif. Intell. Neural Netw. Complex Probl.-Solving Technol.(Netherlands), 8(1):7–19, 1998. †CCA49259/98 ga98aSBaluja.

[1217] T. Kamano, T. Yasuno, T. Suzuki, S. Urushihara, H. Harada, and H. Satake. An application of geneticalgorithm for parameter estimation in Hodgkin-Huxley equation under anaesthetizing. Trans. Inst. Electr.Eng. Jpn. C (Japan), 118-C(12):1692–1697, 1998. In Japanese †PA39379/99 ga98aTKamano.

[1218] T. Onuki, S. Wakao, T. Miyokawa, and Y. Nishimura. Design optimization of simulation coil system fornerve stimulation. IEEE Transactions on Magnetics, 34(4):2159–2161, July 1998. ga98aTOnuki.

[1219] V. Booth. A genetic algorithm study on the influence of dendritic plateau potentials on bistable spikingin motoneurons. Neurocomputing (Netherlands), 26-27:69–78, 1998. †CCA68502/99 ga98aVBooth.

[1220] Th. Villmann, A. Korner, and C. Albani. Application of evolutionary algorithms to reformulation ofcategories in psychotherapy research. In Proceedings of the 6th European Congress on Intelligent Techniquesand Soft Computing, volume 3, pages 1842–1847, Aachen (Germany), 7.-10. September 1998. Verlag Mainz,Aachen (Germany). †CCA78614/99 ga98aVillmann.

[1221] W. H. Land, L. Albertelli, Y. Titkov, P. Kaltsatis, and G. Seburyano. Evolution of neural networks forthe detection of breast-cancer. In Proceedings of the IEEE International Joint Symposia on Intelligenceand Systems, pages 34–41, Rockville, MD (USA), 21.-23. May 1998. IEEE Computer Society Press, LosAlamitos , CA. †P80657 ga98aWHLand.

[1222] Yaoyao Cui, Mingxi Wan, and Junbo Li. A new quantitative assessment method of facial paralysis based onmotion estimation. In H. K. Chang and Y. T. Zhang, editors, Proceedings of the 20th Annual InternationalConference of the IEEE Engineering in Medicine and Biology Society, volume 3, pages 1412–1412, HongKong, China, 29. October-29. November 1998. IEEE, Piscataway, NJ. * www/IEEE ga98aYaoyaoCui.

[1223] David B. Fogel, Peter J. Angeline, V. W. Porto, E. C. Wasson, III, and Edward M. Boughton. Usingevolutionary computation to learn about detecting breast cancer. In 1998 IEEE International Conferenceon Systems, Man, and cybernetics, volume 3, pages 2373–2378, San Diego, CA, USA, 11.-14.October 1998.IEEE, Piscataway, NJ. * www/IEEE ga98bDBFogel.

[1224] Jorma Laurikkala, Martti Juhola, Jorma Penttinen, and Pauliina Aukee. An internet-based prototypeexpert system for the diagnosis of female urinary incontinence. In Pasi Koikkalainen and Seppo Puuronen,editors, Human and Artificial Information Processing, Proceedings of the 8th Finnish Artificial IntelligenceConference, pages 98–103, Jyvaskyla (Finland), 7.-9. September 1998. University of Jyvaskyla — FinnishArtificial Intelligence Society. ga98bLaurikkala.

Bibliography 145

[1225] M. Nayebzadeh, H. Bigdeli, Z. S. Hosseini, and J. Soltanian. Real-time identification of fetal arrhythmiausing a genetic algorithm. In Proceedings of the 6th European Congress on Intelligent Techniques and SoftComputing, volume 3, pages 1867–1871, Aachen (Germany), 7.-10. September 1998. Verlag Mainz, Aachen(Germany). †CCA84599/99 ga98bNayebzadeh.

[1226] D.-Y. Tsai and S. Watanabe. A method for optimization of fuzzy reasoning by genetic algorithms and itsapplication to discrimination of myocardial heart disease. IEEE Transactions on Nuclear Science, 46(6Part 3):2239–2246, 12.-14.November 1998. * www/IEEE ga98cD-YTsai.

[1227] Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, and Walter F. Good. Comparison of artificial neuralnetwork and Bayesian belief network in a computer-assisted diagnosis scheme for mammography. InProceedings of the 1999 International Joint Conference on Neural Networks (IJCNN’99), volume 6, pages4181–4185, ?, ? 1999. IEEE, Piscataway, NJ. ga99aBinZheng.

[1228] Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, and Walter F. Good. Comparison of artificial neuralnetwork and Bayesian belief network in a computer-assisted diagnosis scheme for mammography. InInternational Joint Conference on Neural Networks, IJCNN ’99, volume 6, pages 4181–4185, Washington,DC, USA, 10.-16. July 1999. IEEE, Piscataway, NJ. ga99aBZheng.

[1229] C. F. Cosio and B. L. Davies. Automated prostate recognition: a key process for clinically effectiverobotic prostatectomy. Med. Biol. Eng. Comput., 37(2):236–243, March 1999. * PubMed10396828ga99aCFArambula.

[1230] David B. Fogel, Peter J. Angeline, V. W. Porto, E. C. Wasson, and Edward M. Boughton. Using evo-lutionary computation to learn about detecting breast cancer. In Proceedings of the 1999 Congress onEvolutionary Computation-CEC99, volume 3, pages 1749–1754, Washington, DC, 6.-9. July 1999. IEEE,Piscataway, NJ. †CCA84612/99 ga99aDBFogel.

[1231] D. J. Baylink, D. D. Strong, and S. Mohan. The diagnosis and treatment of osteoporosis: future prospects.Mol. Med. Today, 5(3):133–140, March 1999. * PubMed10203737 ga99aDJBaylink.

[1232] Du-Yih Tsai and S. Watanabe. A method for optimization of fuzzy reasoning by genetic algorithm and itsapplication to discrimination of myocardial heart disease. IEEE Transactions on Nuclear Science, 46(6,Part 3):2239–2246, December 1999. (Proceedings of Toronto (Canada), 12.-14. Nov. 1998) * www /IEEEga99aDu-YihTsai.

[1233] Erna L. Kentala, Jorma Laurikkala, Ilmari V. Pyykko, and Martti Juhola. Discovering diagnostic rulesfrom a neurotologic database with genetic algorithms. Ann. Otol. Rhinol. Laryngol., 108(10):948–954,October 1999. * PubMed10526849 ga99aEKentala.

[1234] E. K. Lee, R. J. Gallagher, D. Silvern, C. S. Wuu, and M. Zaider. Treatment planning for brachytherapy:an integer programming model, two computational approaches and experiments with permanent prostateimplant planning. Phys. Med. Biol., 44(1):145–165, January 1999. * PubMed ga99aEKLee.

[1235] E. M. Messing, J. B. Zhang, D. J. Rubens, R. A. Brasacchio, J. G. Strang, A. Soni, M. C. Schell, P. G. Oku-nieff, and Y. Yu. Intraoperative optimized inverse planning for prostate brachytheraby: early experience.Int. J. Radiat. Oncol. Biol. Phys., 44(4):801–808, 1. July 1999. * PubMed10386636 ga99aEMMessing.

[1236] H. C. Patel, J. S. Duca, A. J. Hopfinger, C. D. Glendening, and E. D. Thompson. Quantitative componentanalysis of mixture for risk assessment: applications to eye irritation. Chem. Res. Toxicol., 12(11):1050–1056, November 1999. * PubMed10563830 ga99aHCPatel.

[1237] Hsiang-Yin Chen, Ta-Cheng Chen, David I. Min, Gary W. Fischer, and You-Min Wu. Prediction oftacrolimus blood levels by using the neural network with genetic algorithm in liver transplantation patients.Therapeutic Drug Monitoring, 21(1):50–56, February 1999. * AHA ga99aHsiang-YinChen.

[1238] Jr V. Pilla and H. S. Lopes. Evolutionary training of a neurofuzzy network for detection of p wave of theecg. In Proceedings of the Third International Conference on computational Intelligence and MultimediaApplications, pages 102–106, New Delhi, India, 23.-26. September 1999. IEEE Computer Society Press,Los Alamitos , CA. †CCA93085/99 ga99aJrVPilla.

[1239] Jinming Zhang and William Stout. The theoretical DETECT index of dimensionality and its applicationto approximate simple structure. Psychometrika, 64(2):213–249, June 1999. * PsycINFO1999-05791-006ga99aJZhang.

[1240] I. Kajitani, M. Murakami, D. Nishikawa, H. Yokoi, N. Kajihara, Masaya Iwata, Didier Keymeulen,H. Sakanashi, and Tetsuya Higuchi. An evolvable hardware chip for prosthetic hand controller. In Pro-ceedings of the Seventh International Conference on Microelectronics for Neural Fuzzy and Bio-InspiredSystems, pages 179–186, Granada (Spain), 7.-9. April 1999. IEEE Computer Society Press, Los Alamitos, CA. †CCA88709/99 ga99aKajitani.


[1241] K. Murase, T. Mochizuki, T. Kikuchi, and J. Ikezoe. Kinetic parameter estimation from compartmentmodels using a genetic algorithm. Nucl. Med. Commun, 20(10):925–932, October 1999. * PubMed10528298ga99aKMurase.

[1242] M. Lahanas, D. Baltas, and N. Zamboglou. Anatomy-based three-dimensional dose optimization inbrachytherapy using multiobjective genetic algorithms. Medical Physics, 26(9):1904–1918, 1999. †[1001]CCA84730/99 ga99aLahanas.

[1243] Jorma Laurikkala, Martti Juhola, S. Lammi, and Kati Viikki. Comparison of genetic algorithms and otherclassification methods in the diagnosis of female urinary incontinence. Methods of Information in Medicine,38(2):125–131, June 1999. ga99aLaurikkala.

[1244] George K. Matsopoulos, Nicolaos A. Mouravliansky, Konstantinos K. Delibasis, and Konstantina S. Nikita.Automatic retinal image registration scheme using global optimization techniques. IEEE Transactions onInformation Technology in Biomedicine, 3(1):47–60, March 1999. ga99aMatsopoulos.

[1245] Milo C. Engoren, Rui Moreno, and Dinis Reis Miranda. A genetic algorithm to predict hospital mor-tality in an ICU population. Critical Care Medicine, 27(12):Supplement:A52, December 1999. †AHAga99aMCEngoren.

[1246] Michael Scherg, Thomas Bast, and Patrick Berg. Multiple source analysis of interictal spikes: Goals,requirements, and clinical value. Journal of Clinical Neurophysiology, 16(3):214–224, May 1999. *Google ga99aMichaelScherg ⇒ http://journals.lww.com/clinicalneurophys/Abstract/1999/05000/

Multiple Source Analysis of Interictal Spikes .3.aspx.

[1247] M. Lahanas, D. Baltas, and N. Zamboglou. Anatomy-based three-dimensional dose optimization inbrachytherapy using multiobjective genetic algorithms. Med. Phys., 26(9):1904–1918, September 1999.* PubMed10505880 ga99aMLahanas.

[1248] M. Scherg, T. Bast, and P. Berg. Multiple source analysis of interictal spikes: goals, requirements, andclinical value. J. Clin. Neurophysiol, 16(3):214–224, May 1999. * PubMed10426405 ga99aMScherg.

[1249] N. Marvin, M. Bower, and Jonathan E. Rowe. An evolution approach to constructing prognostic models.Artificial Intelligence in Medicine, 15(2):155–165, February 1999. * PubMed10082179 ga99aNMarvin.

[1250] O. C. L. Haas. Radiotherapy Treatment Planning: New System Approaches. Springer-Verlag, Berlin, 1999.†[1665] ga99aOHaas.

[1251] Carlos Andres Pena-Reyes and Moshe Sipper. A fuzzy-genetic approach to breast cancer diagno-sis. Artificial Intelligence in Medicine, 17(2):131–155, October 1999. ttp://www.sciencedirect.com

ga99aPena-Reyes.

[1252] R. Davoodi and B. J. Andrews. Optimal control of FES-assisted standing up in paraplegia using geneticalgorithms. Med. Eng. Phys., 21(9):609–617, November 1999. * PubMed10699563 ga99aRDavoodi.

[1253] S. Vinterbo and L. Ohno-Machado. A genetic algorithm to select variables in logistic regression: examplein the domain of myocardial infarction. Proc. AMIA Symp, ?(?):984–988, ? 1999. * PubMed10566508ga99aSVinterbo.

[1254] Tingjun Hou, Junmei Wang, and Xiaojie Xu. Applications of genetic algorithms on the structure-activitycorrelation study of a group of nonnucleoside HIV-1 inhibitors. Chemometrics and Intelligent LaboratorySystems, 45(1,2):303–310, 1999. (Proceedings of the 1st International Conference on Chemometrics inChina (1STCCC), Zhangjiajie (China), Oct 17.-23., 1997) †ChA332263/99 P83850/99 ga99aTingjunHou.

[1255] V. Podgorelec, J. Brest, and P. Kokol. Power of heterogeneous computing as a vehicle for implement-ing E3 medical decision support systems. Stud. Health Technol. Inform., 68(?):703–708, ? 1999. *PubMed10724984 ga99aVPodgorelec.

[1256] Xiao-Hui Wang, Bin Zheng, Yuan-Hsiang Chang, and Walter F. Good. Optimizing the feature set for aBayesian network for breast-cancer diagnosis, by using genetic algorithm techniques. In Proceedings ofthe Society of Photo-Optical Instrumentation Engineers, volume SPIE-3661, pages 1574–1580, San Diego,CA, 22.-25. February 1999. SPIE – International Society for Optical Engineering, Bellingham. †P85053ga99aXHWang.

[1257] Xin Yao and Yong Liu. Neural networks for breast cancer diagnosis. In Proceedings of the 1999 Congress onEvolutionary Computation-CEC99, volume 3, pages 1760–1767, Washington D.C., 6.-9. July 1999. IEEE,Piscataway, NJ. †CCA84613/99 ga99aXinYao.

[1258] Yuan-Hsiang Chang, Bin Zheng, Xiao-Hui Wang, and Walter F. Good. Computer-assisted diagnosis ofbreast cancer using artificial neural networks: Comparison of backpropagation and genetic algorithm. InProceedings of the 1999 International Joint Conference on Neural Networks (IJCNN’99), volume 5, pages3674–3679, ?, ? 1999. IEEE, Piscataway, NJ. ga99aYuan-HsiangChang.

http://journals.lww.com/clinicalneurophys/Abstract/1999/05000/Multiple_Source_Analysis_of_Interictal_Spikes_.3.aspx

http://journals.lww.com/clinicalneurophys/Abstract/1999/05000/Multiple_Source_Analysis_of_Interictal_Spikes_.3.aspx

ttp://www.sciencedirect.com

Bibliography 147

[1259] Y. Yu, J. B. Brasacchio, P. G. Okunieff, D. J. Rubens, J. G. Strang, A. Soni, and E. M. Messing. Automatedtreatment planning engine for prostate seed implant brachytherapy. Int. J. Radiat. Oncol. Biol. Phys.,43(3):647–652, 1. February 1999. * PubMed10078652 ga99aYYu.

[1260] Carlos Andres Pena-Reyes and Moshe Sipper. Designing breast cancer diagnostic systems via a hybridfuzzy-genetic methodology. In Proceedings of the 1999 IEEE International Fuzzy Systems Conference, vol-ume 1, pages 135–139, Seoul (South Korea), 22.-25. August 1999. IEEE, Piscataway, NJ. ga99bPena-Reyes.

[1261] Jarmo T. Alander. Development of NIR melanoma spectra processing methods. In Pekka Isto, ed-itor, Tekniikan tutkimusinstituutti, Juhlaseminaari 2006, pages 25–26, Vaasa (Finland), 24. Febru-ary 2006. Tekniikan tutkimusinstituutti. (ftp://ftp://ftp.uwasa.fi/cs/report05-4//TTIprinter.pdf)gaA:TTI06.

[1262] Jarmo T. Alander. Indexed bibliography of genetic algorithms in medicine. Report 94-1-MEDICINE,University of Vaasa, Department of Electrical Engineering and Automation, 2007. http://lipas.uwasa.

fi/∼TAU/reports/report94-1/gaMEDICINEbib.pdf gaMEDICINEbib.

[1263] Richard S. Judson, E. P. Jaeger, and Adi M. Treasurywala. A genetic algorithm-based method for dockingflexible molecules. Technical Report SAND93-8688, Sandia National Laboratories, Albuquerque, NM,1993. (also as [169]) ga:Judson93c.

[1264] Dominique Douguet, Etienne Thoreau, and Gerard Grassy. A genetic algorithm for the automated genera-tion of small organic molecules: Drug design using an evolutionary algorithm. Journal of Computer-AidedMolecular Design, 14(5):449–466, July 2000. ga00aDDouguet.

[1265] Gisbert Schneider, Man-Ling Lee, Martin Stahl, and Petra Schneider. De novo design of molecular archi-tectures by evolutionary assembly of drug-derived building blocks. Journal of Computer-Aided MolecularDesign, 14(5):487–494, July 2000. ga00aGisbertSchneider.

[1266] Gerard Kian-Meng Goh and James A. Foster. Evolving molecules for drug design using genetic algorithmsvia molecular trees. pages 27–33, 2000. ga00aGK-MGoh.

[1267] Sandra Handschuh and Johann Gasteiger. The search for the spatial and electronic requirements of a drug.J. Mol. Model., 6(2):358–378, ? 2000. * ChA 344169m/00 ga00aHandschuh.

[1268] Lev Goldfarb, Oleg Golubitsky, and Dmitry Korkin. What is a structural representation in chemistry:Towards a unified framework for CADD. Technical Report TR00-137, University of New Brunswick,Faculty of Computer Science, 2000. ga00aLevGoldfarb.

[1269] Robert H. Kewley, Mark J. Embrecths, and Curt Breneman. Data strip mining for the virtual design ofpharmaceuticals with neural networks. IEEE Transactions on Neural Networks, 11(3):668–679, May 2000.ga00aRHKewley.

[1270] Aaron L. Kurtzman, Sridhar Govindarajan, Katherine Vahle, Jennifer T. Jones, Volker Heinrichs, andPhilip A. Patten. Advances in directed protein evolution by recursive genetic recombination: Applicationto therapeutic proteins. Current Opinion in Biotechnology, 12(4):361–370, August 2001. ga01aALKurtzman.

[1271] Michael J. Felton. Survival of the fittest in drug design. Chemical Innovation, 31(3):11–14, March 2001.ga01aMJFelton.

[1272] Muhsin Ozdemir, Mark J. Embrechts, Fabio Arciniegas, Curt M. Breneman, Larry Lockwood, andKristin P. Bennett. Feature selection for in-silico drug design using genetic algorithms and neural networks.In Proceedings of the 2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications (SM-Cia/01), pages 53–57, Blacksburg, VA, 25.-27. June 2001. IEEE, Piscataway, NJ. ga01aMuhsinOzdemir.

[1273] Mark J. Embrechts, Muhsin Ozdemir, Larry Lockwood, Curt Breneman, Kristin Bennett, Dirk Devo-gelaere, and Marcel Rijckaert. Feature selection methods based on genetic algorithms for in silico drugdesign. In Gary B. Fogel and David W. Corne, editors, Evolutionary Computation in Bioinformatics, pages317–340. Morgan Kaufmann Publishers, New York, 2003. †TKKpaa ga03aMarkJEmbrechts.

[1274] Natasha Brooijmans and Irwin D. Kuntz. Molecular recognition and docking algorithms. Annual Reviewof Biophysics and Biomolecular Structure, 32:335–373, 2003. ga03aNBrooijmans.

[1275] Sokratis Makrogiannis, Jeremy Wellen, Yanjun Wu, Luke Bloy, and Susanta K. Sarkar. A multimodalimage registration and fusion methodology applied to drug discovery research. In Proceedings of the 9thIEEE Workhop on Multimedia Signal Processing (MMSP’07), pages 324–327. IEEE, Piscataway, NJ, 1.-3. October 2007. ga07aSMakrogiannis.

[1276] J. Santeri Puranen, Mikko J. Vainio, and Mark S. Johnson. Accurate conformation-dependent molecularelectrostatic potentials for high-throughput in silico drug discovery. Journal of Computational Chemistry,31(8):1722–1732, June 2010. †ISI ga10aJSanteriPuranen ⇒ .

ftp://ftp://ftp.uwasa.fi/cs/report05-4//TTIprinter.pdf

http://lipas.uwasa.fi/~TAU/reports/report94-1/gaMEDICINEbib.pdf

http://lipas.uwasa.fi/~TAU/reports/report94-1/gaMEDICINEbib.pdf


[1277] William Eugene Hart. Adaptive global optimization with local search. PhD thesis, University of California,San Diego, 1994. * DAI Vol. 55 No. 7 ga94aHart.

[1278] J. Roberts. Structure-based drug design ten years on. Nature-Structural Biology, 1(6):?, ? 1994.†News/Gazit ga94aJRoberts.

[1279] Leuo-Hong Wang, Cheng-Yan Kao, Ming Ouh-Young, and Wen-Chin Cheu. Using an annealing geneticalgorithm to solve global energy minimization problem in molecular binding. In Proceedings of the 6th IEEEConference on Tools with Artificial Intelligence (TAI’94), pages 401–410, New Orleans, LA, 6.-9. November1994. IEEE Computer Society Press, Los Alamitos, CA. ga94aLHWang.

[1280] Anon. Cerius2 Release 1.6, Drug Discovery Workbench QSAR+ User’s Reference, Chapter 16: Introductionto genetic function approximation, 1994. ga94eAnon.

[1281] Yong Liang (Leon) Xiao. Computer-assisted drug design: Genetic algorithms and structures of molecularclusters of aromatic hydrocarbons and actinomycin D-deoxyguanosine. PhD thesis, University of Louisville,Department od Chemistry, 1994. * Xiao DAI Vol 55 No 7 ga94eXiao.

[1282] A. Parrill. Evolutionary and genetic methods in drug design. Drug Discovery Today, 1(?):514–521, ? 1996.†David E. Clark/bib ga96aParrill.

[1283] Sung Jin Cho, Weifan Zheng, and Alexander Tropsha. Application of genetic algorithms to de novo designof therapeutic peptides [Abstract of a poster]. In Proceedings of the International Conference on ProteinFolding and Design, Poster Abstracts, page 32, Bethesda, MD, 23.-26. April 1996. National Institutes ofHealth, Bethesda, MD. * ga96aSJCho.

[1284] Ajita Atul Bhat. Applications of bioinformatics, homology modeling and QSAR to drug design. PhD thesis,University of Georgia, 1997. * www /UMI ga97aAjitaAtulBhat.

[1285] Emil Marcus. Determination of 3D structure of suramin in solution and model of interaction of suraminwith basic fibroblast and platelet-derived growth factors. PhD thesis, State University of New York atBuffalo, 1997. * www /UMI ga97aEmilMarcus.

[1286] Kevin Patrick Clark. The design of a ligand discovery and optimization system for structure-based drugdesign. PhD thesis, University of California, San Francisco, 1997. * www /UMI ga97aKPClark.

[1287] D. J. Maddalena and G. M. Snowdon. Application of genetic algorithms to drug design. Expert Opinionon Therapeutic Patents, 7(3):247–254, ? 1997. †ChA 271637f/97 ga97aMaddalena.

[1288] Shanrong Zhao, Hualing Jian, Dongxiang Liu, and Kaixian Chen. Genetic algorithm and drug moleculardesign. Huaxue Jinzhan, 9(4):405–415, ? 1997. (in Chinese) * ChA 97166f/98 ga97aShanrongZhao.

[1289] Albert Yongwon Jin. Biologically driven molecular modeling for anticonvulsant drug design. PhD thesis,Queen’s University at Kingston, 1998. * www /UMI ga98aAlbertYongwonJin.

[1290] Chien-Cheng Chen, Leuo-Hong Wang, Ceng-Yan Kao, Ming Ouhyoung, and Wen-Chin Chen. Molecular-binding in structure-based drug design - a case-study of the population-based annealing genetic algo-rithms. In Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence,pages 328–335, Taipei, Taiwan, 10.-12. November 1998. IEEE Computer Society Press, Los Alamitos, CA.ga98aCCChen.

[1291] David E. Clark. Some current trends in evolutionary algorithm research exemplified by applications incomputer-aided molecular design. MATCH – Communications in Mathematical and in Computer Chem-istry, (38):85–98, October 1998. ga98aDEClark.

[1292] Klaus Gubernator. Evolutionary drug discovery [abstract of an invited lecture]. In Sorin Istrail, PavelPevzner, and Michael Waterman, editors, Proceedings of the Second Annual Conference on ComputationalMolecular Biology, page 101, New York, NY, 22.-25. March 1998. ACM Press. ga98aGubernator.

[1293] Hugo Kubinyi. Quantitative structure-activity relationships in drug design. In Paul von Rague Schleyer,editor, Encyclopedia of Computational Chemistry, volume 4, pages 2309–2320. John Wiley & Sons, NewYork, 1998. ga98aHugoKubinyi.

[1294] Peter C. Jurs. Quantitative structure-property relationships (QSPR). In Paul von Rague Schleyer, editor,Encyclopedia of Computational Chemistry, volume 4, pages 2320–2330. John Wiley & Sons, New York,1998. ga98aPCJurs.

[1295] Yukio Tominaga. Novel 3D descriptors using excluded volume 2: Application to drug classification.Journal of Chemical Information and Computing Science, 38(6):1157–1160, ? 1998. * ChA 13616hga98bYukioTominaga.

Bibliography 149

[1296] David E. Clark. Evolutionary algorithms in computer-aided molecular design: a review of current appli-cations and a look to the future. In ?, editor, ACS Symposium Series, volume 719, pages 255–270, ?, ?1999. American Chemical Society. * ChA 237350a/99 ga99aDEClark.

[1297] Gareth Jones, Peter Willett, Robert C. Glen, Andrew R. Leach, and Robin Taylor. Further developmentof a genetic algorithm for ligand docking and its application to screening combinatorial libraries. In ?,editor, ACS Symposium Series, volume 719, pages 271–291, ?, ? 1999. American Chemical Society. *ChA 237498e/99 ga99aGarethJones.

[1298] Jianquan Chen and Hanlin Chi. Fast docking of drug molecules to their receptor. Chin. Sci. Bull,44(10):904–908, 1999. †ChA223021/99 ga99aJianChen.

[1299] David B. Turner, Peter Willett, Allan M. Ferguson, and Trevor W. Heritage. Development and validationof the EVA descriptor for QSAR studies. In ?, editor, ACS Symposium Series, volume 719, pages 312–329,?, ? 1999. American Chemical Society. * ChA 237351b/99 ga99aTurner.

[1300] William E. Hart. Comparing evolutionary programs and evolutionary pattern search algorithms: A drugdocking application. In ?, editor, Proceedings of the GECCO-99 Conference, volume ?, page ?, Orlando,FL, 13.-17. July 1999. ? ga99aWEHart.

[1301] I. J. McFadyen, H. Houshyar, L. Y. Liu-Chen, J. H. Woods, and J. R. Traynor. The steroid 17alpha-acetoxy-6-dimethylaminomethyl-21-fluoro-3-ethoxypregna-3,5-dien-20-one (SC17599) is a selective &mgr;-opioid agonist: implications for the &mgr;-opioid pharmacophore. Mol. Pharmacol., 58(4):669–676, Octo-ber 2000. * PubMed10999935 ga00aIJMcFadyen.

[1302] Thomas Dandekar and Patrick Argos. Potential of genetic algorithms in protein folding and proteinengineering simulations. Protein Engineering, 5(7):637–645, 1992. ga:Argos92a.

[1303] Thomas Dandekar and Patrick Argos. Genetic algorithms as a new tool to study protein stability. InW. J. J. van den Tweel, A. Harder, and R. M. Buitelaar, editors, Stability and Stabilization of Enzymes(Proceedings of the International Symposium on Stability and Stabilization of Enzymes), volume 47 ofStudies in Organic Chemistry, pages 283–290, Maastricht (Netherlands), 22.-25. November 1992. ElsevierScience Publ., Amsterdam. ga:Argos92b.

[1304] Jonathan J. Burbaum, Ronald T. Raines, W. John Albery, and Jeremy R. Knowles. Evolutionary opti-mization of the catalytic effectiveness of an enzyme. Biochemistry, 28(24):9293–9305, 28. November 1989.ga:Burbaum89a.

[1305] Walter Cedeno. DNA restriction fragment map assembly with genetic algorithms. In Genetic Algorithms atStanford, pages 40–49. Stanford University Bookstore, Stanford, CA, June 1993. †Mitchell ga:Cedeno93a.

[1306] J. S. Dixon. Flexible docking of ligands to receptor sites using genetic algorithms. In C. G. Wermuth,editor, Trends in QSAR and Molecular Modelling, pages 412–413, ?, ? 1993. ESCOM, Leiden. †David E.Clark/bib ga:Dixon93a.

[1307] David Eisenberg. Determining protein folds by inverted and evolutionary protein folding algorithms. In ?,editor, Proceedings of the North Caroline Symposium on Molecular Modeling: Integration of Theory andExperiment, page ?, Research Triangle Park, North Carolina, 21.-23. October 1993. ? †program/Newsga:Eisenberg93a.

[1308] Gary B. Fogel. An introduction to the protein folding problem and the potential application of evolutionaryprogramming. In David B. Fogel and W. Atmar, editors, Proceedings of the 2nd Annual Conferenceon Evolutionary Programming, page ?, La Jolla, CA, 25.-26. February 1993. Evolutionary ProgrammingSociety, San Diego. †Back/bib/unp ga:GFogel93a.

[1309] Simon G. Handley. Automated learning of a detector for α-helices in protein sequences via genetic pro-gramming. In Forrest [1637], pages 271–278. ga:Handley93a.

[1310] Richard S. Judson, M. E. Colvin, J. C. Meza, A. Huffer, and D. Gutierrez. Do intelligent configurationsearch techniques outperform random search for large molecules? International Journal of QuantumChemistry, 44(2):277–290, 1992. ga:Judson92a.

[1311] Richard S. Judson, E. P. Jaeger, Adi M. Treasurywala, and M. L. Peterson. Conformation searchingmethods for small molecules II: A genetic algorithm approach. Journal of Computational Chemistry,14(11):1407–1414, 1993. ga:Judson93a.

[1312] D. B. McGarrah and Richard S. Judson. An analysis of the genetic algorithm method of molecularconformation determination. Journal of Computational Chemistry, 14(11):1385–1395, 1993. ga:Judson93b.

[1313] Akihiko Konagaya. A stochastic approach to genetic information processing. Technical Report ICOTTechnical Memorandom: TM-1263, Institute for New Generation Computer Technology, May 1993.ga:Konagaya93c.


[1314] Scott Michael Le Grand and K. M. Merz, Jr. The application of genetic algorithms to the minimizationof potential energy functions. Journal of Global Optimization, 3(?):49–66, 1993. †David E. Clark/bib[?][1464] ga:LeGrand93a.

[1315] Scott Michael Le Grand. The application of the genetic algorithm to protein tertiary structure prediction.PhD thesis, The Pennsylvania State University, 1993. * DAI 54/7 ga:LeGrandThesis.

[1316] Byrne Lovell and Martin Zwick. Application of the genetic algorithm to a simplified form of the phaseproblem. In R. Trappl, editor, Cybernetics and Systems Research 92, Proceedings of the 11th EuropeanMeeting on Cybernetics and System Research, volume 1, pages 261–268, Vienna (Austria), 21. -24. April1992. World Scientific Publishing Company, Pte., Ltd., Singapore. ga:Lovell92.

[1317] Marcel J. J. Blommers, Carlos B. Lucasius, Gerrit Kateman, and Robert Kaptein. Conformational analysisof a dinucleotide photodimer with the aid of the genetic algorithm. Biopolymers, 32(1):45–52, January1992. * EI A016405/92 ga:Lucasius92b.

[1318] Ron Wehrens, Carlos B. Lucasius, Lutgarde M. C. Buydens, and Gerrit Kateman. HIPS, a hybrid self-adapting expert-system for nuclear-magnetic-resonance spectrum interpretation using genetic algorithms.Analytica Chimica Acta, 277(2):313–324, May 1993. ga:Lucasius93c.

[1319] Ron Wehrens, Carlos B. Lucasius, Lutgarde M. C. Buydens, and Gerrit Kateman. Sequential assignmentof 2D-NMR spectra of proteins using genetic algorithms. Journal of Chemical Information and ComputerSciences, 33(2):245–251, March-April 1993. ga:Lucasius93d.

[1320] Michael de la Maza. Synthesizing regularity exposing attributes in large protein databases. TechnicalReport AI TR 1444, Massachusets Institute of Technology, 1993. * Achilles/MIT ga:Maza93c.

[1321] D. C. Youvan, A. P. Arkin, and M. M. Yang. Recursive ensemble mutagenesis - a combinatorial optimizationtechnique for protein engineering. In Manner and Manderick [1651], pages 401–410. ga:MMYang92a.

[1322] Ron Unger and John Moult. Genetic algorithms for protein folding simulations. Technical Report TR-92-35, University of Maryland, College Park, Institute for Advanced Computer Studies, 1992. †ACM/92ga:Moult92a.

[1323] Ron Unger and John Moult. Why genetic algorithms are suitable for protein folding analysis: The theoreti-cal foundations. Technical Report TR-92-71, University of Maryland, College Park, Institute for AdvancedComputer Studies, 1992. †ACM/92 ga:Moult92b.

[1324] Ron Unger and John Moult. Effects of mutations on the performance of genetic algorithms suitable forprotein-folding simulations. In M. Doyama, J. Kihara, M. Tanaka, and R. Yamamoto, editors, ComputerAided Innovation of New Materials II, volume 2, pages 1283–1286, Yokohama (Japan), 22.-25. September1992 1993. Elsevier Science Publishers B. V., Amsterdam. †P59826/94 ga:Moult92c.

[1325] Ron Unger and John Moult. On the applicability of genetic algorithms to protein folding. In Trevor N.Mudge, Veljko Milutionovic, and Lawrence Hunter, editors, Proceedings of the 26th Hawaii InternationalConference on Systems Science (HICSS-26), volume 1, pages 715–725, Wailea, HI, 5.-8. January 1993.IEEE Computer Society press, Los Alamitos, CA. ga:Moult93a.

[1326] Ron Unger and John Moult. A genetic algorithm for 3D protein folding simulations. In Forrest [1637],pages 581–588. ga:Moult93b.

[1327] Ron Unger and John Moult. Genetic algorithms for protein folding simulations. Journal of MolecularBiology, 231(1):75–81, May 1993. ga:Moult93c.

[1328] Ron Unger and John Moult. Effect of mutations on the performance of genetic algorithms suitable forprotein folding simulations. Computer-Aided Innovation of New Materials, 2(?):1283–1286, 1993. †DavidE. Clark/bib ga:Moult93d.

[1329] F. Papentin. A Darwinian evolutionary system – II. Experiments on protein evolution and evolutionary as-pects of the genetic code. Journal of Theoretical Biology, 39(?):417–430, 1973. †BackBib ga:Papentin73a.

[1330] Shoshana J. Wodak and Marianne J. Rooman. Generating and testing protein folds. Current Opinion inStructural Biology, 3(3):247–259, June 1993. ga:Rooman93a.

[1331] Steffen Schulze-Kremer. Genetic algorithms in biochemistry (GALB): learning protein folding pathways.chapter 4. Applications. 1993. † ga:Schulze-K92a.

[1332] Steffen Schulze-Kremer. Genetic algorithms for protein tertiary structure prediction. In Manner andManderick [1651], pages 391–400. ga:Schulze-K92b.

[1333] Steffen Schulze-Kremer. Genetische Algorithmen zur Vorhersage von Proteintertiarstrukturen. In D. P. F.Moller and O. Richter, editors, Fortschritte der Simulation in Medizin, pages 217–238. UniversitatClausthal-Zellerfeld, Institut fur Informatik, 1992. †Mitchell ga:Schulze-K92c.

Bibliography 151

[1334] Steffen Schulze-Kremer and Ulrich Tiedemann. Genetic algorithms for protein tertiary structure prediction.In J.-G. Ganascia, editor, Artificial Intelligence and Genome Workshop 26, Proceedings of the InternationalJoint Conference on Artificial Intelligence, pages 119–141, Institut Blaise Pascal, Paris, ? 1993. ? †Mitchellga:Schulze-K93a.

[1335] Steffen Schulze-Kremer. Genetic algorithms for protein tertiary structure prediction. In P. B. Brazil,editor, Proceedings of the European Conference on Machine Learning (ECML-93), volume 667 of LectureNotes in Artificial Intelligence, pages 262–279, Vienna (Austria), 5.-7. April 1993. Springer-Verlag. †CCA22653/93 ga:Schulze-K93b.

[1336] Michael T. Semertzidis, Serge Hazout, and Jean-Paul Mornon. A computer based simulation with artificialadaptive agents for predicting secondary structure from the protein hydrophobicity [abstract]. ProteinScience, 2(Suppl. 1):66, July 1993. (Proceedings of the Seventh Symposium of the Protein Society, SanDiego, CA, July 24-28) ga:Semertzidis93a.

[1337] Shaojian Sun. Reduced representation model of protein structure prediction: Statistical potential andgenetic algorithms. Protein Science, 2(5):762–785, May 1993. ga:SSun93a.

[1338] Joachim Stender and Tom Addis. Symbols versus neurons? chapter Using the genetic algorithm to adaptintelligent systems, page ? IOS Press, Amsterdam, 1990. † ga:Stender90a.

[1339] P. Tuffery, C. Etchebest, Serge Hazout, and R. Lavery. A new approach to the rapid determination ofprotein side chain conformations. Journal of Biomolecular Structure & Dynamics, 8(6):1267–1289, 1991.†News/CCL ga:Tuffery91a.

[1340] P. Tuffery, C. Etchebest, Serge Hazout, and R. Lavery. A critical comparison of search algorithms ap-plied to the protein side-chain conformations. Journal of Computational Chemistry, 14(?):790–798, 1993.†News/Xiao ga:Tuffery93a.

[1341] Jukka Vanhala and Kimmo Kaski. Protein folding simulation by GAs. In Jarmo T. Alander, editor,Proceedings of the First Finnish Workshop on Genetic Algorithms and their Applications, volume TKO-A30 of Research Reports. Espoo (Finland), 4.-5. November 1992 1993. GA:Vanhala93a.

[1342] Jukka Vanhala and Kimmo Kaski. Protein folding simulation by genetic algorithms. In Risto Nieminenand Olle Teleman, editors, 7th Nordic Symposium on Computer Simulation, page 10, Espoo, Finland,3.-5. September 1993. ga:Vanhala93b.

[1343] Yong Liang (Leon) Xiao and Donald E. Williams. Genetic algorithm: a new approach to the prediction ofthe structure of molecular clusters. Chemical Physics Letters, 215(1-3):17–24, November 1993. ga:Xiao93a.

[1344] Jarmo T. Alander. Folding proteins in lattice models using hydration. In Matti Kaivola and Eero Noponen,editors, Proceedings of the XXXIV Annual Conference of the Finnish Physical Society, volume TKK-F-A797 of Helsinki University of Technology Publications in Engineering Physics, page 229, Espoo (Finland),9.-11. March 2000. Helsinki University of Technology, Department of Engineering Physics and Mathematics.ga00aAlander.

[1345] Øivind Braaten, Olaug K. Rødningen, Inger Nordal, and Troud P. Leren. The genetic algorithm appliedto haplotype data at the LDL receptor locus. Computer Methods and Programs in Biomedicine, 61(1):1–9,January 2000. ga00aBraaten.

[1346] Christopher A. Voigt, D. Benjamin Gordon, and Stephen L. Mayo. Trading accuracy for speed: A quantita-tive comparison of search algorithms in protein sequence design. Journal of Molecular Biology, 299(?):789–803, ? 2000. ga00aCAVoigt.

[1347] Christopher Wills and Jeffrey Bada. The Spark of Life, Darwin and the Primeval Soup. Perseus Publishing,Cambridge, MA, 2000. ga00aCWills.

[1348] David E. Clark, editor. Evolutionary Algorithms in Molecular Design. Wiley-VCH, Weinheim (Germany),2000. †Wiley brochure ga00aDEClark.

[1349] Valerie J. Gillet. Chapter 4. de novo molecular design. In Clark [1348], pages 49–69. ga00aGillet.

[1350] Jinn-Moon Yang and Cheng-Yan Kao. A family competition evolutionary algorithm for automated dockingof flexible ligands to proteins. IEEE Transactions on Information Technology in Biomedicine, 4(3):225–237,September 2000. ga00aJinn-MoonYang.

[1351] J. S. Taylor and R. M. Burnett. DARWIN: A program for docking flexible molecules. Proteins, 41(2):173–191, 1. November 2000. * PubMed10966571 ga00aJSTaylor.


[1352] Natalio Krasnogor and Jim Smith. A memetic algorithm with self-adaptive local search: TSP as a casestudy. In Darrell Whitley, David E. Goldberg, Erick Cantu-Paz, Lee Spector, Ian Parmee, and Hans-GeorgBeyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000),volume ?, pages 987–994, Las Vegas, CA, 10.-12. July 2000. Morgan Kaufmann Publishers, San Francisco,CA. ga00aKrasnogor.

[1353] L. P. B. Scott, J. Chahine, and J. R. Ruggiero. Prediction of protein structures using a Hopfield network.In Proceedings of the Sixth Brazilian Symposium on Neural Networks, page 284, Rio de Janeiro (Brazil),22.-25. November 2000. ? * www /IEEE ga00aLPBScott.

[1354] M. Adler. Modified genetic algorithm resolves ambiguous NOE restraints and reduces unsightly NOEviolatios. Proteins, 39(4):385–392, 1. June 2000. * PubMed10813820 ga00aMAdler.

[1355] Michael L. Raymer, William F. Punch, III, Erik D. Goodman, Leslie A. Kuhn, and A. K. Jain. Dimension-ality reduction using genetic algorithms. IEEE Transactions on Evolutionary Computation, 4(2):164–171,July 2000. * ga00aMLRaymer.

[1356] Garrett M. Morris, Arthur J. Olson, and David S. Goodsell. Chapter 3. protein-ligand docking. In Clark[1348], pages 31–48. ga00aMorris.

[1357] Pablo Chacon, J. Fernando Dıaz, Federico Moran, and Jose M. Andreu. Reconstruction of protein formwith X-ray solution scattering and a genetic algorithm. Journal of Molecular Biology, 299(5):1289–1302,23. June 2000. ga00aPChacon.

[1358] Jan T. Pedersen. Chapter 11. protein folding. In Clark [1348], pages 223–239. ga00aPedersen.

[1359] Peter Clote and Rolf Backofen. 6.4 Lattice models of proteins, pages 228–243. John Wiley & Sons, ltd,Chichester, 2000. ga00aPeterClote.

[1360] Rachel Beth Brem. Simple models of protein and small molecule systems. PhD thesis, University ofCalifornia, San Francisco, 2000. * www /UMI ga00aRBBrem.

[1361] Rolf Backofen, Sebastian Will, and Peter Clote. Algorithmic approach to quantifying the hydrophobicforce contribution in protein folding. In R. B. Altman, K. Lauderdale, A. K. Dunker, L. Hunter, and T. E.Klein, editors, Proceedings of the Pacific Symposium on Biocomputing, pages 92–103, ?, ? 2000. WorldScientific, Singapore. †[1359] ga00aRolfBackofen.

[1362] Bryan C. Sanctuary. Chapter 10. structure determination by NMR spectroscopy. In Clark [1348], pages195–221. ga00aSanctuary.

[1363] Joseph D. Szustakowski and Zhiping Weng. Protein structure alignment using a genetic algorithm. Pro-teins: Structure, Function, and Genetics, 38(4):428–440, ? 2000. †ChA 290725y/00 ga00aSzustakowski.

[1364] William E. Hart, Chris Rosin, Richard K. Belew, and Garrett M. Morris. Improved evolutionary hybridsfor flexible ligand docking in AutoDock. In C. A. Floudas and P. M. Pardalos, editors, Optimization inComputational Chemistry and Molecular Biology, pages 209–229. Kluwer Academic Publishers, Dordrecht,2000. †MathRev 2000k:92010 ga00aWEHart.

[1365] Jarmo T. Alander. Extending HP lattice model with non-local hydration. In Satoru Miyano, Ron Shamir,and Toshihisa Takagi, editors, Currents in Computational Molecular Biology, volume 30 of Frontiers Sci-ence, pages 118–119, Tokyo (Japan), 9.-11. March 2000. Universal Academy Press, Inc. (Proceedings of theExtended Abstracts of the Fourth Annual International Conference on Computational Molecular Biology,April 8.-11., 2000, Tokyo (Japan) ga00bAlander.

[1366] David B. Fogel. What is evolutionary computation? IEEE Spectrum, 37(2):26–32, February 2000.ga00eDBFogel.

[1367] Cecilia Beatriz Mazza. Quantitative-structure based predictions of displacer and protein affinities in chro-matographic systems. PhD thesis, Rensselaer Polytechnic Institute, 2001. * www /UMI ga01aCBMazza.

[1368] Charles R. Kissinger, Daniel K. Gehlhaar, Bradley A. Smith, and Djamal Bouzida. Molecular replacementby evolutionary search. Acta Crystallographica Section D, Biological Crystallography, 57(10):1474–1479,October 2001. ga01aCRKissinger.

[1369] Douglas Stephen Daniels. Structural studies of the human DNA repair protein oxygen-6-alkylguanine-DNAalkyltransferase. PhD thesis, The Scripps Research Institute, 2001. * www /UMI ga01aDSDaniels.

[1370] Faming Liang and Wing Hung Wong. Evolutionary Monte Carlo for protein folding simulations. Journalof Chemical Physics, 115(7):3374–3380, 15. August 2001. ga01aFamingLiang.

[1371] Hua Gao. Application of BCUT metrics and genetic algorithm in binary QSAR analysis. Journal ofChemical Information and Computer Sciences, 41(2):402–407, March/April 2001. ga01aHuaGao.

Bibliography 153

[1372] Jeffrey Skolnick and Andrzej Kolinski. Computational studies of protein folding. Computing in Science &Engineering, ?(?):22–31, September/October 2001. ga01aJSkolnick.

[1373] Kiyoto Ishii, Takahisa Nakai, and Souichi Morikawa. Method and device for calculating optimization solu-tion of multiple mutant protein amino acid sequence, and storage medium where program for executing themethod is stored, 2001. (JP patent no. 2001184381. Issued July 5 2001) * fi.espacenet.com ga01aKIshii.

[1374] Michael L. Raymer, Leslie A. Kuhn, and William F. Punch, III. Knowledge discovery in biological datasets using a hybrid Bayes classifier/evolutionary algorithm. In Proceedings of the 2001 IEEE InternationalSymposium on Bioinformatics and Bioengineering, pages 236–245, Bethesda, MD, 4.-6. November 2001.IEEE, Piscataway, NJ. * www /IEEE ga01aMLRaymer.

[1375] Paul Cairns, Christian Huyck, Ian Mitchell, and Wendy Xihyu Wu. A comparison of categorisation al-gorithms for predicting the cellular localization sites of proteins. In Proceedings of the 12th InternationalWorkshop on Database and Expert Systems Applications, pages 296–300, Munich (Germany), 3.-7. Septem-ber 2001. IEEE, Piscataway, NJ. ga01aPaulCairns.

[1376] Richard O. Day, Jesse B. Zydallis, Gary B. Lamont, and Ruth Pachter. Analysis of fine granularityin parellelization and building block sizes of the parallel fast messy GA used on the protein structureprediction problem. In ?, editor, Proceedings of the World Congress on Computational Intelligence, page 6,?, ? 2001. ? †Lamont paper ga01aRODay.

[1377] Shinji Chiba, Ken Sugawara, and Toshinori Watanabe. Classification and function estimation of proteinby using data compression and genetic algorithms. In Proceedings of the 2001 Congress on EvolutionaryComputation, volume 2, pages 839–844, Seoul (South Korea), 27.-30. May 2001. IEEE, Piscataway, NJ.ga01aShinjiChiba.

[1378] Jarmo T. Alander. Protein folding and evolution: in the frontier between physics, biology and computing.Arpakannus, (1):45–52, 2001. (http://www.uwasa.fi/stes/) ga01bAlander.

[1379] Christopher Mark Summa. Computational methods and their applications for de novo functional proteindesign and membrane protein solubilization. PhD thesis, University of Pennsylvania, 2002. * www /UMIga02aCMSumma.

[1380] Inbal Halperin, Buyong Ma, Haim Wolfson, and Ruth Nussinov. Principles of docking: An overview ofsearch algorithms and a guide to scoring fuctions. Proteins: Structure, Function, and Genetics, 47(4):409–443, 1. June 2002. ga02aInbalHalperin.

[1381] J. Gamalielsson and Bjorn Olsson. Using evolutionary algorithms to evaluate simplified models for proteinstructure prediction. In H. J. Caulfield, S.-H. Chen, H.D. Cheng, R. Duro, V. Honavar, E. E. Kerre, M. Lu,M. Grana Romay, T. K. Shih, D. Venture, P. P. Wang, and Y. Yang, editors, Proceedings of the Sixth JointConference on Information Sciences, pages 602–605, ?, ? 2002. Association for Intelligent Machinery. †lopga02aJGamalielsson.

[1382] Jinn-Moon Yang, Chi-Hung Tsai, Ming-Jing Hwang, Huai-Kuang Tsai, Jenn-Kang Hwang, and Cheng-Yan Kao. GEM: A Gaussian evolutionary method for predicting protein side-chain conformations. ProteinScience, 11(8):1897–1907, August 2002. ga02aJinn-MoonYang.

[1383] Junni L. Zhang and Jun S. Liu. A new sequential importance sampling method and its application tothe two-dimensional hydrophobic-hydrophilic model. The Journal of Chemical Physics, 117(7):3492–3498,15. August 2002. ga02aJunniLZhang.

[1384] Natalio Krasnogor. Studies on the Theory and Design Space of Memetic Algorithms. PhD thesis, Universityof the West of England, Faculty of Computing, Engineering and Mathematical Sciences, 2002. * GAdigestV. 16 N. 21 ga02aNKrasnogor.

[1385] Nikolay V. Dokholyan, Boris Shakhnovich, and Eugene I. Shaknovich. Expanding protein universe and itsorigin from the biological Big Bang. Proceedings of the National Academy of Sciences of the United Statesof America, 99(22):14132–14136, 29. October 2002. ga02aNVDokholyan.

[1386] Pamela Sharon Bromberg. Mid-infrared biospectroscopic analysis of biological systems in vitro and in situ.PhD thesis, The University of Manitoba, 2002. * www /UMI ga02aPMBromberg.

[1387] Robert D.Clark, Alexander Strizhev, Joseph M. Leonard, James F. Blake, and James B. Matthew. Consen-sus scoring for ligand/protein interactions. Journal of Molecular Graphics and Modelling, 20(4):281–295,January 2002. ga02aRDClark.

[1388] Richard O. Day. A multiobjective approach applied to the protein structure prediction problem. Master’sthesis, Air Force Institute of Technology, 2002. †Lamont paper ga02aRODay.

http://www.uwasa.fi/stes/


[1389] Yan Cui, Wing Hung Wong, Erich Bornberg-Bauer, and Hue Sun Chan. Recombinatoric exploration ofnovel folded structures: A heteropolymer-based model of protein evolutionary landscapes. Proceedingsof the National Academy of Sciences of the United States of America, 99(2):809–814, 22. January 2002.ga02aYanCui.

[1390] Ana Carolina Lorena and Andre C. P. L. F. de Carvalho. Utilizacao de tecnicas inteligentes em bioin-formatica. Report 219, Universidade de Sao Paulo, 2003. ga03aACLorena ⇒ http://www.icmc.sc.usp.

br/∼biblio/BIBLIOTECA/rel tec/RT 219.pdf.

[1391] Brandye M. Smith. The application of single-pass attenuated total reflectance Fourier transform infraredspectroscopy for protein analysis. PhD thesis, North Carolina State University, 2003. * www /UMIga03aBrandyeMSmitt.

[1392] Cheng Chen Ho. Using Evolutionary Computation to Solve the Multiple Protein Sequence Alignment. PhDthesis, University in Taiwan, 2003. * Google ga03aChengChenHo⇒ http://ndltd.ncl.edu.tw/cgi-bin/

gs32/gsweb.cgi/ccd=unDPW2/record?r1=71&h1=5.

[1393] Eleanor J. Gardiner, Peter Willett, and Peter J. Artymiuk. GAPDOCK: A genetic algorithm approachto protein docking in CAPRI round 1. Proteins: Structure, Function, and Genetics, 52:10–14, 2003.ga03aEJGardiner.

[1394] Elizabeth K. Wilson. Building proteins computationally. Chemical & Engineering News, 81(40):35–36,38–40, 6. October 2003. ga03aElizabethKWilson.

[1395] Gary B. Lamont and Laurence D. Merkle. Toward effective polypeptide structure prediction with parallelfast messy genetic algorithms. In Gary B. Fogel and David W. Corne, editors, Evolutionary Compu-tation in Bioinformatics, pages 137–162. Morgan Kaufmann Publishers, New York, 2003. †TKKpaaga03aGBLamont.

[1396] Garrison W. Greenwood and Jae-Min Shin. On the evolutionary search for solutions to the protein foldingproblem. In Gary B. Fogel and David W. Corne, editors, Evolutionary Computation in Bioinformatics,pages 113–136. Morgan Kaufmann Publishers, New York, 2003. †TKKpaa ga03aGWGreenwood.

[1397] Joseph D. Szustakowski and Zhipeng Weng. Protein structure alignment using evolutionary computation.In Gary B. Fogel and David W. Corne, editors, Evolutionary Computation in Bioinformatics, pages 59–86.Morgan Kaufmann Publishers, New York, 2003. †TKKpaa ga03aJDSzustakowski.

[1398] J. L. Klepeis, M. J. Pieja, and C. A. Floudas. Hybrid global optimization algorithms for protein structureprediction: Alternating hybrids. Biophysical Journal, 84(2):869–882, February 2003. ga03aJLKlepeis.

[1399] Kjell Petersen and William R. Taylor. Modeling zinc-binding proteins with GADGET: genetic algorithmand distance geometry for exploring topology. Journal of Molecular Biology, 325(?):1039–1059, ? 2003.ga03aKjellPetersen.

[1400] Lee R. Cooper, David W. Corne, and M. James Crabbe. Use of a novel hill-climbing genetic algo-rithm in protein folding simulations. Computational and Biological Chemistry, 27(?):575–580, ? 2003.ga03aLeeRCooper.

[1401] Luigi Agostini and Stefano Morosetti. A simple procedure to weight empirical potentials in a fitnessfunction so as to optimize its performance in ab initio protein folding problem. Biophysical Chemistry,105(?):105–118, ? 2003. ga03aLuigiAgostini.

[1402] Michael I. Sadowski and John Howard Parish. Automated generation and refinement of protein signatures:case study with g-protein coupled receptors. Bioinformatics, 19(11):727–734, 12. April 2003. * www/ScienceDirect ga03aMISadowski.

[1403] Marcel L. Verdonk, Jason C. Cole, Michael J. Hartshorn, Christopher W. Murray, and Richard D. Tay-lor. Improved protein-ligand docking using GOLD. Proteins, 49(4):457–471, 2003. †GOLD homapagega03aMLVerdonk.

[1404] Pierre-Jean L’Heureux. Etude sur la generation de modeles de structures secondaires pour la predic-tion de structures proteiques. PhD thesis, Universite de Montreal, 2003. (in French) * www /UMIga03aP-JLHeureux.

[1405] Rene Thomsen. Flexible ligand docking using differential evolution. In Proceedings of the Congress onEvolutionary Computation 2003 EC 2003, volume 4, pages 2354–2361, ?, 8.-12. December 2003. IEEE,Piscataway, NJ. ga03aRThomsen.

[1406] Steffen Schulze-Kremer. Application of evolutionary computation to protein folding with specialized oper-ators. In Gary B. Fogel and David W. Corne, editors, Evolutionary Computation in Bioinformatics, pages163–192. Morgan Kaufmann Publishers, New York, 2003. †TKKpaa ga03aSchulze-Kremer.

http://www.icmc.sc.usp.br/~biblio/BIBLIOTECA/rel_tec/RT_219.pdf

http://www.icmc.sc.usp.br/~biblio/BIBLIOTECA/rel_tec/RT_219.pdf

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/ccd=unDPW2/record?r1=71&h1=5

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/ccd=unDPW2/record?r1=71&h1=5

Bibliography 155

[1407] Susana Duarte Flores and Jim Smith. Study of fitness landscapes for the HP model of protein structureprediction. In ?, editor, Proceedings of the Congress of Evolutionary Computation 2003, volume ?, page ?,Australia, December 2003. ? ga03aSDuarteFlores.

[1408] Seung-Yeon Kim and Sung Jong Lee. Conformational space annealing and an off-lattice frustrated modelprotein. The Journal of Chemical Physics, 119(19):10274–10279, 15. November 2003. ga03aSeung-YeonKim.

[1409] Tianzi Jiang, Qinghua Cui, Guihua Shi, and Songde Ma. Protein folding simulations of the hydrophobic-hydrophilic model by combining tabu search with genetic algorithms. The Journal of Chemical Physics,119(8):4592–4596, 22. August 2003. ga03aTianziJiang.

[1410] Joseph D. Szustakowski. A protein structure alignment method and application to the discovery of recurrentprotein structure motifs. PhD thesis, Boston University, 2003. * www /UMI ga03bJDSzustakowski.

[1411] Graham A. Cox, Thomas V. Mortimer-Jones, Robert P. Taylor, and Roy L. Johnston. Developmentand optimisation of a novel genetic algorithm for studying model protein folding. Theoretical ChemistryAccounts, 112(3):163–178, July 2004. ga04aGACox.

[1412] David De Sancho, Lidia Prieto, Ana M. Rubio, and Antonio Rey. Evolutionary method for the as-sembly of rigid protein fragments. Journal of Computational Chemistry, 26(2):131–141, January 2005.ga05aDDeSancho.

[1413] Marcel L. Verdonk, Gianni Chessari, Jason C. Cole, Michael J. Hartshorn, Christopher W. Murray,J. Willem M. Nissink, Richard D. Taylor, and Robin Taylor. Modeling water molecules in protein-liganddocking using GOLD. Journal of Medicinal Chemistry, 48:6504–6515, 2005. ga05aMLVerdonk.

[1414] Siavoush Dastmalchi and Maryam Hamzeh-Mivehrod. Molecular modeling of human aldehyde oxidaseand identification of the key interactions in the enzyme-substrate complex. DARU, 13(3):?, ? 2005.ga05aSDastmalchi.

[1415] Benjamin Ivorra, David E. Hertzog, Bijan Mohammadi, and Juan G. Santiago. Semi-deterministic andgenetic algorithms for global optimization of microfluidic protein-folding devices. International Journalfor Numerical Methods in Engineering, 66(2):319–333, ? 2005. ga06aBIvorra.

[1416] Durmus Ozdemir. Genetic multivarate calibration for near infrared spectroscopic determination of protein,moisture, dry mass, hardness and other residues of wheat. International Journal of Food Science andTechnology, 41((Supplement 2)):12–21, ? 2006. ga06aDurmusOzdemir.

[1417] Saju Joy, Parvathy S. Nair, Ramkumar Hariharan, and M. Radhakrishna Pillai. Detailed comparison ofthe protein-ligand docking efficiences of GOLD, a commercial package and ArgusLab, a licensable freeware.In Silico Biology, 6(0053), 2006. ga06aSajuJoy.

[1418] Jiang Ye. A review of artificial intelligence techniques applied to protein structure prediction. Master’sthesis, Simon Fraser University, 2007. †Google /www ga07aJiangYe.

[1419] Sanghamitra Bandyopadhyay, Ujjwal Maulik, and Jason T L Wang, editors. Analysis of Biological Data,A Soft Computing Approach. World Scientic, Singapore, 2007. †www /Google ga07aSBandyopadhyay.

[1420] W. Zhuang, D. Abramavicius, D. V. Voronine, and S. Mukamel. Simulation of two-dimensional infraredspectroscopy of amyloid fibrils. Proceedings of the National Academy of Sciences of the United States ofAmerica, 104(36):14233–14236, 4. September 2007. * www /TKKpaa ga07aWZhuang.

[1421] X. Du, J. Cheng, and J. Song. Improved prediction of protein binding sites from sequences using geneticalgorithm. Protein Journal, ?(?):?, ? 2009. (in press) †PubMed ga09aXDu.

[1422] B. Luke. Evolutionary programming applied to the development of quantitative structure-activity relation-ship and quantitative structure-property relationships. Journal of Chemical Information and ComputerSciences, 34(?):1279–1287, ? 1994. †David E. Clark/bib [1666] ga94aBLuke.

[1423] James U. Bowie and David Eisenberg. An evolutionary approach to folding small alpha-helical proteinsthat uses sequence information and an empirical guiding fitness function. Proceedings of the NationalAcademy of Sciences of the United States of America, 91(10):4436–4440, 10. May 1994. ga94aBowie.

[1424] Emmanual Chiva and Philippe Tarroux. Studying genotype-phenotype interactions: a model of the evo-lution of the cell regulation network. In Davidor et al. [1657], pages 26–35. (anonymous ftp at siteftp.ens.fr file pub/reports/biologie/BIENS PPSN94.ps.Z) ga94aChiva.

[1425] Christine S. Ring and Fred C. Cohen. Conformational sampling of loop structures using genetic algorithms.Israel Journal of Chemistry, 34(2):245–252, 1994. ga94aCSRing.

[1426] Thomas Dandekar and Patrick Argos. Folding the main chain of small proteins with the genetic algorithm.Journal of Molecular Biology, 236(3):844–861, February 1994. ga94aDandekar.


[1427] David E. Clark. Genetic algorithm refinement of structures generated by a de novo design program. In?, editor, Proceedings of the 13th Annual Conference of the Molecular Graphics Society, page ?, Evanston,IL, 9.-13. July 1994. Molecular Graphics Society. (to appear) †conf. prog. ga94aDEClark.

[1428] George H. Gates, Jr. Predicting protein structure using genetic algorithms. Master’s thesis, Air ForceInstitute of Technology, Wright-Patterson AFB, School of Engineering, 1994. * N95-26919 ga94aGates.

[1429] Geoffrey Chang and Mitchell Lewis. Using genetic algorithms for solving heavy-atom sites. Acta Crystal-lographica Section D: Biological Crystallography, D50(5):667–674, 1. September 1994. ga94aGChang.

[1430] Gisbert Schneider and Paul Wrede. Optimizing amino acid sequences by simulated molecular evolution. InChris Jesshope, Vesselin Jossifov, and Wolfgang Wilhelmi, editors, Proceedings of the Sixth InternationalWorkshop on Parallel Processing by Cellular Automata and Arrays (PARCELLA 94), pages 335–246,Potsdam (Germany), 21.-23. September 1994. Akademie Verlag, Berlin. ga94aGSchneider.

[1431] X. Guan, R. J. Mural, and E. C. Uberbacher. Protein structure prediction using hybrid AI methods.In Proceedings of the Tenth Conference on on Artificial Intelligence for Applications, pages 471–473, SanAntonia, TX, 1.-4. March 1994. IEEE Computer Society Press, Los Alamitos, CA. ga94aGuan.

[1432] Simon G. Handley. Automated learning of a detector for the cores of α-helices in protein sequences viagenetic programming. In ICEC’94 [1667], pages 474–479. ga94aHandley.

[1433] H. W. Hellinga and F. M. Richards. Optimal sequence selection in proteins of known structure by simulatedevolution. Proceedings of the National Academy of Sciences of the United States of America, 91(?):5803–5807, 1994. †David E. Clark/bib ga94aHellinga.

[1434] Frank Herrmann and Sandor Suhai. Genetic algorithms in protein structure prediction. In Sandor Suhai,editor, Computational Methods in Genome Research, pages 173–190. Plenum Press, New York, 1994.†News/Herrmann P61782/94 ga94aHerrmann.

[1435] Hiroshi Iijima and Yusuke Naito. Incremental prediction of side-chain conformation of proteins by a geneticalgorithm. In ICEC’94 [1667], pages 362–367. ga94aIijima.

[1436] John R. Gunn, A. Monge, R. A. Friesner, and C. H. Marshall. Hierarchical algorithm for computer modelingof protein tertiary structure: folding of myoglobin to 6.2a resolution. Journal of Physical Chemistry,98(2):702–711, 13. January 1994. ga94aJRGunn.

[1437] John R. Koza. Recognizing patterns in protein sequences using iteration-performing calculations in geneticprogramming. In ICEC’94 [1667], pages 244–249. ga94aKoza.

[1438] Hugo Kubinyi. Variable selection in QSAR studies 1. an evolutionary algorithm. Quantitative Structure-Activity Relationships, 13(?):285–294, ? 1994. †David E. Clark/bib [1666] ga94aKubinyi.

[1439] Scott Michael Le Grand and K. M. Merz, Jr. The genetic algorithm and the conformational search ofpolypeptides and proteins. Molecular Simulation, 13(4-5):299–320, ? 1994. †[1464][1510] ga94aLeGrand.

[1440] Alex C. W. May and Mark S. Johnson. Protein structure comparisons using a combination of a geneticalgorithm, dynamic programming and least-squares minimization. Protein Engineering, 7(4):475–485,April 1994. ga94aMay.

[1441] Laurence D. Merkle, George H. Gates, Jr., Gary B. Lamont, and Ruth Pachter. Application of the parallelfast messy genetic algorithm to the protein folding problem. In Joanne Wold, editor, Proceedings of the IntelSupercomputer Users Group Conference, pages 189–195, Beaverton, OR, June 1994. Intel SupercomputerDivision. ga94aMerkle.

[1442] Mark S. Johnson, John P. Overington, Yvonne Edwards, Alex C. W. May, and Michael A. Rodionov.The comparison of structures and sequences: alignment, searching and the detection of common folds.In Proceedings of the 27th Hawaii International Conference on System Sciences, Biotehnology Computing1994, volume V, pages 296–305, Wailea, HI, 4.-7. January 1994. IEEE, Piscataway, NJ. ga94aMSJohnson.

[1443] Peter Schuster and Peter F. Stadler. Landscapes: Complex optimization problems and biopolymers. Com-puters Chem., 18(?):295–314, ? 1994. (http://www.tbi.univie.ac.at/∼studla/publications.html)ga94aPeterSchuster.

[1444] Steffen Schulze-Kremer and Ulrich Tiedemann. Parametrizing genetic algorithms for protein folding simu-lation. In IEE Colloquium on ‘Molecular Bioinformatics’, volume IEE Digest No. 1993/029, pages 8/1–8/7,London, 28. February 1994. IEE, London. ga94aSchulze-Kremer.

[1445] Michael T. Semertzidis. Developpement de methodes besees sur les mathematiques, l’informatique etl’intelligence artificielle pour l’alignement de sequences et la prediction de structures proteines [Devel-opment of mathematical, computing and artificial intelligence methods for the protein secondary structureprediction]. PhD thesis, University of Paris 7, 1994. (in French) * Semertzidis ga94aSemertzidis.

http://www.tbi.univie.ac.at/~ studla/publications.html

Bibliography 157

[1446] A. Wallquist and M. Ullner. A simplified amino acid potential for use in structure prediction of proteins.Proteins: Structure, Function, and Genetics, 18(?):267–280, ? 1994. †[1464] ga94aWallqvist.

[1447] Yong Liang (Leon) Xiao and Donald E. Williams. A comparison of GA and RSNR docking. In ICEC’94[1667], pages 802–806. ga94aXiao.

[1448] Patrick Argos and Thomas Dandekar. Delineating the mainchain topology of four-helix bundle proteinsusing the genetic algorithm and knowledge based on the amino acid sequence alone. In Henrik Bohr andSøren Brunak, editors, Protein Structure by Distance Analysis, pages 302–314. IOS Press, Amsterdam,1994. (Symposium on Distance based Approaches to Protein Structure Determination, Lyngby (Denmark),23.-26. Nov, 1993) ga94bArgos.

[1449] David Rogers. Genetic function approximation: A genetic approach to building quantitative structure-activity relationship models. In ?, editor, Proceedings of the 10th European Symposium on Structure-Activity Relationships: QSAR and Molecular Modeling, page ? Prous Science Publishers, Barcelona(Spain), ? 1994. †[1666] ga94bDRogers.

[1450] Gisbert Schneider, Johannes Schuchhardt, and Paul Wrede. Artificial neural networks and simulatedmolecular evolution are potential tools for sequence-oriented protein design. Computer Applications in theBiosciences (CABIOS), 10(6):635–645, 1994. †[1668] ga94bGSchneider.

[1451] Frank Herrmann. Genetic algorithms codings used in protein structure prediction by energy minimization.In Henrik Bohr and Søren Brunak, editors, Protein Structure by Distance Analysis, pages 175–184. IOSPress, Amsterdam, 1994. (Symposium on Distance based Approaches to Protein Structure Determination,Lyngby (Denmark), 23.-26. Nov, 1993) †News/Herrmann P61766/94 ga94bHerrmann.

[1452] Hugo Kubinyi. Variable selection in QSAR studies 2. a highly efficient combination of systematic searchand evolution. Quantitative Structure-Activity Relationships, 13(?):393–401, ? 1994. †David E. Clark/bibga94bKubinyi.

[1453] Steffen Schulze-Kremer and Ulrich Tiedemann. Parametrizing genetic algorithms for protein folding sim-ulation. In Proceedings of the 27th Hawaii International Conference on Systems Sciences (HICSS-27),volume 5, pages 345–354, Wailea, HI, 4.-7. January 1994. IEEE Computer Society Press, Los Alamitos,CA. ga94bSchulze-Kremer.

[1454] Gisbert Schneider and Paul Wrede. The rational design of amino acid sequences by artificial neuralnetworks and simulated molecular evolution: De novo design of an idealised leader peptidase cleavage-site.Biophysical Journal, 66(?):335–344, 1994. †David E. Clark/bib ga94cGSchneider.

[1455] Steffen Schulze-Kremer. Genetic algorithms for protein tertiary structure prediction. In ? [1652], pages6/1–6/5. * CCA 51339/94 ga94cSchulze-Kremer.

[1456] Simon G. Handley. The prediction of the degree of exposure to solvent of amino acid residues via geneticprogramming. In Russ Altman, Douglas Brutlag, Peter Karp, Richard Lathrop, and David Searls, editors,Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, pages156–160, ?, ? 1994. AAAI Press, Menlo Park, CA. †toc ga94dHandley.

[1457] John R. Koza. Automated discovery of detectors and iteration-performing calculations to recognize patternsin protein sequences using genetic programming. In Proceedings of the 1994 IEEE Computer SocietyConference on Computer Vision and Pattern Recognition, pages 684–689, Seattle, WA, 21.-23. June 1994.IEEE Computer Society Press, Los Alamitos, CA. ga94eKoza.

[1458] John R. Koza. Evolution of a computer program for classifying protein segments as transmembranedomains using genetic programming. In Russ Altman, Douglas Brutlag, Peter Karp, Richard Lathrop,and David Searls, editors, Proceedings of the Second International Conference on Intelligent Systems forMolecular Biology, pages 244–252, ?, ? 1994. AAAI Press, Menlo Park, CA. * toc ga94nKoza.

[1459] Alex C. W. May and Mark S. Johnson. Improved genetic algorithm-based protein structure comparisons:pairwise and multiple superpositions. Protein Engineering, 8(9):872–882, September 1995. ga95aACWMay.

[1460] A. Krogh and S. K. Riis. Prediction of beta sheets in proteins. In Proceedings of the 1995 Advanced inNeural Information Processing Systems, pages 917–923, Denver, CO (USA), 27.-30. November 1995. MITPress, Cambridge, MA. †CCA96856/97 ga95aAKrogh.

[1461] Nicholas Welborn Beeson. An evaluation of the genetic algorithm as a computational tool in protein NMR.PhD thesis, Harvard University, 1995. * DAI Vol 56 No 7 ga95aBeeson.

[1462] R. Calabretta, Stefano Nolfi, and D. Parisi. An artificial life model for predicting the tertiary structureof unknown proteins that emulates the folding process. In ?, editor, Advances in Artificial Life. Pro-ceedings of the Third European Conference on Artificial Life, volume 929 of Lecture Notes in ArtificialIntelligence, pages 862–875, Granada (Spain), 4.-6. June 1995. Springer-Verlag, Berlin. * CCA 85129/95ga95aCalabretta.


[1463] John R. Desjarlais and Tracy M. Handel. De novo design of hydrophobic cores of proteins. Protein Science,4(?):2006–2018, ? 1995. †David E. Clark/bib ga95aDesjarlais.

[1464] Arne Elofsson, Scott Michael Le Grand, and David Eisenberg. Local moves: An efficient algorithm forsimulation of protein folding. Proteins: Structure, Function, and Genetics, 23(1):73–82, September 1995.ga95aElofsson.

[1465] George H. Gates, Jr., Laurence D. Merkle, Gary B. Lamont, and Ruth Pachter. Simple genetic algorithmparameter selection for protein structure prediction. In ICEC’95 [1653], pages 620–625. †prog. ga95aGates.

[1466] R. L. Gaulke. Application of hybridized genetic algorithms to the protein folding problem. Master’s thesis,Wright-Patterson AFB, School of Engineering, 1995. * AD-A305 874/0GAR ga95aGaulke.

[1467] Daniel K. Gehlhaar, Gennady M. Verkhivker, Paul A. Rejto, Stephan T. Freer, David B. Fogel, andLawrence J. Fogel. Docking conformationally flexible small molecules into a protein binding site throughevolutionary programming. In McDonnell et al. [1648], pages 615–627. †conf.prog ga95aGehlhaar.

[1468] Gisbert Schneider, Johannes Schuchhardt, and Paul Wrede. Peptide design in machina: Developmentof artificial mitochondrial protein precursor cleavage sites by simulated molecular evolution. BiophysicalJournal, 68(?):434–447, 1995. †David E. Clark/bib ga95aGSchneider.

[1469] Mathew Hahn and David Rogers. Receptor surface models 2. Application to quantitative structure-activityrelationships studies. Journal of Medicinal Chemistry, 38(12):2091–2102, 9. June 1995. ga95aHahn.

[1470] Frank Herrmann and Sandor Suhai. Energy minimization of peptide analogues using genetic algo-rithms. Journal of Computational Chemistry, 16(11):1434–1444, ? 1995. * ga-molecule /Herrmannga95aHerrmann.

[1471] K. P. Clark and N. Ajay. Flexible ligand docking without parameter asjustment across four ligand-receptor complexes. Journal of Computational Chemistry, 16(?):1210–1226, ? 1995. †David E. Clark/bibga95aKPClark.

[1472] Michael Levin. Practical handbook of genetic algorithms. In Chambers [1649], chapter 2. Locating putativeprotein signal sequences, pages 53–66. ga95aLevin.

[1473] Michael de la Maza. Practical handbook of genetic algorithms. In Chambers [1649], chapter 5. TheBoltzmann selection procedure, pages 111–138. ga95aMaza.

[1474] R. P. Meadows and P. J. Hajduk. Genetic algorithm-based protocol for docking ensembles of small ligandsusing experimental results. Journal of Biomolecular NMR, 6(?):41–47, ? 1995. †David E. Clark/bibga95aMeadows.

[1475] Martin Ebeling and Walter Nadler. On constructing folding heteropolymers. Proceedings of the Na-tional Academy of Sciences of the United States of America, 92(19):8798–8802, 12. September 1995.ga95aMEbeling.

[1476] M. Milik. An object oriented environment for artificial evolution of protein sequences: The example ofrational design of transmembrane sequences. In McDonnell et al. [1648], page ? †conf.prog ga95aMilik.

[1477] Arnold L. Patton, William F. Punch, III, and Erik D. Goodman. A standard GA approach to nativeprotein conformation prediction. In Eshelman [1658], pages 574–581. ga95aPatton.

[1478] Jan Torleif Pedersen and John Moult. Ab initio structure prediction for small polypeptides and proteinfragments. Proteins: Structure, Function, and Genetics, 23(3):454–460, November 1995. ga95aPedersen.

[1479] R. J. Read, T. J. Hart, M. D. Cummings, and S. R. Ness. Monte Carlo algorithms for docking to proteins.Supramol. Chem., 6(1-2):135–140, ? 1995. * ChA 327157u/97 ga95aRJRead.

[1480] Robert R. Birge. Protein-based computers. Scientific American, ?(?):66–71, March 1995. ga95aRRBirge.

[1481] Richard S. Judson, Y. T. Tan, E. Mori, C. Melius, E. P. Jaeger, Adi M. Treasurywala, and A. Math-iowetz. Docking flexible molecules: A case study of three proteins. Journal of Computational Chemistry,16(?):1405–1419, ? 1995. †David E. Clark/bib ga95aRSJudson.

[1482] T. Toya and M. Ishikawa. Protein sequence analysis using a multi-group parallel genetic algorithm. Trans.Inf. Process. Soc. Jpn., 36(11):2549–2558, November 1995. (in Japanese) †CCA 24445/96 ga95aTToya.

[1483] Peter Willett. Genetic algorithms in molecular recognition and design. Trends in Biotechnology, 13(?):516–521, December 1995. ga95aWillett.

[1484] D. E. Zimmerman and G. T. Montelione. Automated assignment of nuclear magnetic resonance assign-ments for proteins. Current Opinion in Structural Biology, 5(?):664–673, ? 1995. †David E. Clark/bibga95aZimmerman.

Bibliography 159

[1485] D. Eric Walters and D. Ph. What do we do when there’s no receptor crystal structure? Using a geneticalgorithm to construct atomistic models of receptor binding sites. In ?, editor, ?, volume ?, pages 1–5,North Chicago IL (USA), ? 1995. † ga95bDEWalters.

[1486] Gisbert Schneider, Johannes Schuchhardt, and Paul Wrede. Amino acid sequence analysis and designby artificial neural network and simulated molecular evolution – an evaluation. Endocytobiosis and CellResearch, 11(1):1–18, 1995. †[1668] ga95bGSchneider.

[1487] Shaojian Sun, P. D. Thomas, and Ken A. Dill. A simple protein folding algorithm using a binary codeand secondary structure constraints. Protein Engineering, 8(?):769–778, ? 1995. (in Finnish) †[1510]ga95bSSun.

[1488] Arne Elofsson, D. Fischer, David W. Rice, Scott Michael Le Grand, and David Eisenberg. A study ofcombined structure/sequence profiles. Folding and Design, 1(?):451–461, ? 1996. †David E. Clark/bibga96aAElofsson.

[1489] K. Asai. Stochastic models for the explanation of tertiary structures of protein. Joho Shori, 37(10):924–928,October 1996. (in Japanese) * CCA 16368/97 ga96aAsai.

[1490] Anders Aspnas, Victor Cockcroft, and Jukka Hekanaho. Use of genetic algorithms to learn ligandrecognition concepts: Application to the GPCR superfamily. In Alander [1660], pages 131–150. (ftp://ftp.uwasa.fics/2NWGA/Aspnas.ps.Z) ga96aAspnas.

[1491] Christian Bartels, Martin Billiter, Peter Gunter, and Kurt Wuthrich. Automated sequence-specific NMRassignment of homologous proteins using the program GARANT. Journal of Biomolecular NMR, 7(?):207–213, ? 1996. †David E. Clark/bib ga96aBartels.

[1492] Michael B. Bass and Roland Luthy. Assigning a protein sequence to a three-dimensional fold [Abstract ofa poster]. In Proceedings of the International Conference on Protein Folding and Design, Poster Abstracts,page 9, Bethesda, MD, 23.-26. April 1996. National Institutes of Health, Bethesda, MD. * ga96aBass.

[1493] Erich Bornberg-Bauer. Structure formation of biopolymers is complex, their evolution may be simple. In?, editor, Proceedings of the Pacific Symposium on Biocomputing ’96, pages 97–108, Hawaii, 3.-6. January1996. World Scientific, Singapore. †CCA 84063/96 ga96aBornberg-Bauer.

[1494] James W. Bryson and William F. DeGrado. Design of a three helix bundle with a “native-like” foldedstate [Abstract of a poster]. In Proceedings of the International Conference on Protein Folding and Design,Poster Abstracts, page 24, Bethesda, MD, 23.-26. April 1996. National Institutes of Health, Bethesda, MD.* ga96aBryson.

[1495] Carlos A. Del Carpio and Valentin Gogonea. Modeling proteins conformation in solution. Part I: a parallelGAengine for protein conformational space mapping. Genome Inf. Ser., 7:108–118, ? 1996. †ChA177853t/98 ga96aCADelCarpio.

[1496] D. T. Jones, C. M. Moody, J. Uppenbrink, J. H. Viles, P. M. Doyle, C. J. Harris, L. H. Pearl, P. J.Sadler, and Jane M. Thornton. Towards meeting the Paracelcus challence: The design, synthesis, andcharacterization of paracelcin-43, an alpha-helical protein with over 50-percent sequence identity to all-beta protein. Proteins: Structure, Function, and Genetics, 24(?):502–513, ? 1996. †David E. Clark/bibga96aDTJones.

[1497] Simon G. Handley. The prediction of the degree of exposure to solvent of amino acid residues via geneticprogramming. In Koza et al. [1662], page ? †conf.prog ga96aHandley.

[1498] Hagan Bayley. Pore-forming proteins with built-in triggers and switches. In Andrew Crowson, editor,Smart Structures and Materials 1996: Smart Materials Technologies and Biomimetics, volume SPIE-2716,pages 313–316, ?, February 1996. The International Society for Optical Engineering. * www/SPIE Webga96aHBayley.

[1499] M. Ishikawa. Parallel optimization processing applied to protein sequence analysis. Joho Shori, 37(10):914–918, October 1996. (in Japanese) * CCA 16366/97 ga96aIshikawa.

[1500] Jonathan P. K. Doye and David J. Wales. On potential energy surfaces and relaxation to the globalminimum. The Journal of Chemical Physics, 105(18):8428–8445, November 1996. ga96aJPKDoye.

[1501] Antoine H. C. van Kampen and Lutgarde M. C. Buydens. The effectiveness of recombination in thegenetic algorithm methodology. A comparison to simulated annealing. In Alander [1660], pages 115–130.(ftp://ftp.uwasa.fics/2NWGA/Kampen.ps.Z) ga96aKampen.

[1502] Kazuhiro Saitou and Mark J. Jakiela. Subassembly generation via mechanical conformational switches. ?,2(4):377–416, 1996. †BAb7068 ga96aKaSaitou.

ftp://ftp.uwasa.fics/2NWGA/Aspnas.ps.Z

ftp://ftp.uwasa.fics/2NWGA/Aspnas.ps.Z

ftp://ftp.uwasa.fics/2NWGA/Kampen.ps.Z


[1503] Mehul M. Khimasia. Genetic algorithms applied to protein structure prediction. Report 13, Univer-sity of Cambridge, Queens’ College, 1996. (http://www.tcm.phy.cam.ac.uk/∼mmlk2/Research.html)ga96aKhimasia.

[1504] Leslie A. Kuhn, Michael L. Raymer, Paul C. Sanschagrin, Erik D. Goodman, and William F. Punch, III.Resolving water-mediated and polar ligand recognition using genetic algorithms [Abstract of a poster]. InProceedings of the International Conference on Protein Folding and Design, Poster Abstracts, page 122,Bethesda, MD, 23.-26. April 1996. National Institutes of Health, Bethesda, MD. * ga96aKuhn.

[1505] Laurent D. Merkle, Gary B. Lamont, George H. Gates, Jr., and Ruth Pachter. Hybrid genetic algorithms forminimization of a polypeptide specific energy model. In Proceedings of the IEEE International Conferenceon Evolutionary Computation, pages 396–400, Nagoya (Japan), 20-22. May 1996. IEEE, Piscataway, NJ.ga96aLDMerkle.

[1506] H. Matsua. Protein phylogenetic inference using maximum likelihood with a genetic algorithm. In ?, editor,Proceedings of the Pacific Symposium on Biocomputing (PSB’96), pages 512–523, Hawaii, 3.-6. January1996. World Scientific, Singapore. * CCA 84081/96 ga96aMatsua.

[1507] J. C. Meza, Richard S. Judson, T. R. Faulkner, and Adi M. Treasurywala. A comparison of a directsearch method and a genetic algorithm for conformational searching. Journal of Computational Chemistry,17(9):1142–1151, 15. July 1996. ga96aMeza.

[1508] A. J. Olson and B. S. Duncan. Protein-protein docking using parametric surface representation. In ?,editor, Proceedings of the Pacific Symposium on Biocomputing (PSB’96), page 736, Hawaii, 3.-6. January1996. World Scientific, Singapore. * CCA 84105/96 ga96aOlson.

[1509] Jan Torleif Pedersen and John Moult. Genetic algorithms for protein structure prediction. Current Opinionin Structural Biology, 6(?):227–231, ? 1996. †David E. Clark/bib ga96aPedersen.

[1510] Alfred A. Rabow and Harold A. Scheraga. Improved genetic algorithm for the protein folding problem byuse of a Cartesian combination operator. Protein Science, 5(9):1800–1815, September 1996. ga96aRabow.

[1511] Michael L. Raymer, William F. Punch, III, Erik D. Goodman, and Leslie A. Kuhn. Genetic programmingfor improved data mining: An application to the biochemistry of protein interactions. In Koza et al. [1662],pages 375–380. †www conf.prog ga96aRaymer.

[1512] V. Sundararajan and A. S. Kolaskar. Parallel genetic algorithms on PARAM for conformation of biopoly-mers. In Proceedings of the 1996 3rd International Conference on High Performance Computing (HiPC),pages 22–26, Trivandrum (India), 19.-22. December 1996. IEEE Computer Society Press, Los Alamitos,CA. * CCA 24628/97 EI M042376/97 ga96aSundararajan.

[1513] T. C. Beutler and K. A. Dill. A fast conformational search strategy for finding low energy structures ofmodel proteins. Protein Science, 5(10):2037–2043, October 1996. * PubMed8897604 ga96aTCBeutler.

[1514] G. Trinkunas and A. R. Holzwarth. Kinetic modeling of exciton migration in photosynthetic systems. 3.application of genetic algorithms to simulations of excitation dynamics in three-dimensional photosystem Icore antenna/reaction center complexes. Biophysical Journal, 71(?):351–364, ? 1996. †David E. Clark/bibga96aTrinkunas.

[1515] Yohei Yokobayashi, Kazunori Ikebukuro, Scott MacNiven, and Isao Karube. Directed evolution of trypsininhibiting peptides using genetic algorithm. Journal of the Chemical Society – Perkin Transactions 1,1(20):2435–2439, 21. October 1996. ga96aYYokobayashi.

[1516] Carlos Adriel Del Carpio. A parallel genetic algorithm for polypeptide three dimensional structure predic-tion. A transputer implementation. Journal of Chemical Information and Computer Sciences, 36(2):258–269, March/April 1996. ga96bDelCarpio.

[1517] D. Fischer, Arne Elofsson, D. Rice, and David Eisenberg. Assenssing the performance of fold recognitionmethods by means of a comprehensive benchmark. In Proceedings of the Pacific Symposium on Biocom-puting 496, pages 300–318, HI, USA, 3.-6. January 1996. World Scientific, Singapore. †CCA 84074/96ga96bFischer.

[1518] K. M. Gernert, B. D. Thomas, J. C. Plurad, J. S. Richardson, D. C. Richardson, and L. D. Bergman.Puzzle pieces defined: locating common packing units in tertiary protein contacts. In Proceedings of thePacific Symposium on Biocomputing ’96, pages 331–349, HI, USA, 3.-6. January 1996. World Scientific,Singapore. †CCA 84075/96 ga96bGernert.

[1519] Richard S. Judson, Y. T. Tan, E. Mori, C. Melius, E. P. Jaeger, Adi M. Treasurywala, and A. Math-iowetz. Docking flexible molecules: A case study of three proteins. Journal of Computational Chemistry,16(11):1405–1419, 15. November 1996. ga96bJudson.

http://www.tcm.phy.cam.ac.uk/~mmlk2/Research.html

Bibliography 161

[1520] Andrzej Kolinski, Jeffrey Skolnick, and Adam Godzik. An algorithm for prediction of structural elements insmall proteins. In Pacific Symposium on Biocomputing ’96, volume ?, pages 446–460, 1996. †CCA84079/96ga96bKolinski.

[1521] Thomas Dandekar. The genetic algorithm applied as a modelling tool to predict the fold of small proteinswith different topologies. Journal of Molecular Modeling, 2(9):304–306, ? 1996. (Proceedings of the 10thMolecular Modelling Workshop, Darmstadt (Germany), May 14.-15. 1996) †P72845/97 ga96cDandekar.

[1522] Alexander Renner and Erich Bornberg-Bauer. Exploring the fitness landscapes of lattice proteins. InR. Altman, K. Dunker, L. Hunter, and T. Klein, editors, Proceedings of the 1997 Pacific Symposium onBiocomputing, pages 361–373, Maui, HI, 6.-9. January 1997. World Scientific, London. http://www-smi.

stanford.edu/people/altman/psb97/index.html) ga97aARenner.

[1523] A. R. Ortiz, Wei Ping Hu, A. Kolinski, and J. Skolnick. Method for low resolution prediction of smallprotein tertiary structure. Pacific Symposium on Biocomputing’97, pages 316–327, 1997. †CCA64113/98ga97aAROrtiz.

[1524] A. Y. Jin, F. Y. Leung, and D. F. Weaver. Development of a novel genetic algorithm search method(GAP1.0) for exploring peptide conformational space. Journal of Computational Chemistry, 18(16):1971–1984, ? 1997. * ChA 112614w/98 ga97aAYJin.

[1525] Susanne Beiersdorfer, Jurgen Hesser, Jens Schmitt, Reinhard Manner, Andrea Schulz, and Jurgen Wolfrum.Search for native conformations of organic-molecules by genetic algorithms. In Proceedings of the 23rdEuromicro Conference – New Frontiers of Information Technology, pages 624–630, Budapest (Hungary),1.-4. September 1997. IEEE Computer Society Press, Los Alamitos, CA. †P77002/97 ga97aBeiersdorfer.

[1526] Thomas Dandekar. Improving protein structure prediction by new strategies: experimental insights andthe genetic algorithm. Journal of Molecular Modelling, 3(8):312–314, ? 1997. * ChA 231551n/97ga97aDandekar.

[1527] Frank R. Burden, Brendan S. Rosewarne, and David A. Winkler. Predicting maximum bioactivity byeffective inversion of neural networks using genetic algorithms. Chemometrics and Intelligent LaboratorySystems, 38(2):127–137, ? 1997. * ChA 12952m/98 ga97aFRBurden.

[1528] Gareth Jones, Peter Willett, Robert C. Glen, Andrew R. Leach, and Robin Taylor. Development andvalidation of a genetic algorithm for flexible docking. Journal of Molecular Biology, 267(3):727–748, ?1997. * ChA 15125j/97 BA 152038/97 ga97aGJones.

[1529] S. Govindarajan and R. A. Goldstein. Evolution of model proteins on a foldability landscape. Pro-teins: Structure, Function, and Genetics, 29(?):461–466, ? 1997. †BA 29089/98 [?] David E. Clark/bibga97aGovindarajan.

[1530] He Mei, Tong-Hua Li, and Pei-Sheng Cong. Nonlinear PLS improved by numeric genetic algorithmfor QSAR modeling. Gaodeng Xuexiao Huaxue Xuebao, 18(6):854–856, ? 1997. (in Chinese) * ChA244240k/97 ga97aHeMei.

[1531] Hidetoshi Tanaka. A comparative study of GA and orthogonal experimental design. In Proceedings of1997 IEEE International Conference on Evolutionary Computation, pages 143–146, Indianapolis, IN, 13.-16. April 1997. IEEE, New York, NY. ga97aHidetoshiTanaka.

[1532] John D. Holliday and Peter Willett. Identification of common structural features in sets of ligands usinga genetic algorithm. Journal of Molecular Graphics and Modelling, 15(?):221–232, ? 1997. †David E.Clark/bib ga97aHolliday.

[1533] Hong Ming Chen, Jia Ju Zhou, Tian Rui Ren, and Gui Rong Xie. PARM: a new QSAR research methodbased on genetic algorithm. Chinese Chemical Letters, 8(11):975–978, ? 1997. * ChA 123436r/98ga97aHongMingChen.

[1534] A. J. Hopfinger, Shen Wang, John S. Tokarski, Baiqiang Jin, Magaly Albuquerque, Prakash J. Madhav,and Chaya Duraiswami. Construction of 3-D QSAR models using the 4-D QSAR formalism. Journal ofthe American Chemical Society, 119(43):10509–10524, 29. October 1997. ga97aHopfinger.

[1535] J. Lee, Harold A. Scheraga, and S. Rackovsky. New optimization method for conformational energy calcula-tions on polypeptides: conformational space annealing. Journal of Computational Chemistry, 18(?):1222–1232, ? 1997. * David E. Clark/bib ga97aJLee.

[1536] Johanna M. Jansen, Kondrad F. Koehler, Martin H. Hedberg, Anette M. Johanssen, Uli Hacksell, GunnarNordvall, and James P. Snyder. Molecular design using the minireceptor concept. Journal of ChemicalInformation and Computer Sciences, 37(4):812–818, July/August 1997. ga97aJMJansen.

http://www-smi.stanford.edu/people/altman/psb97/index.html

http://www-smi.stanford.edu/people/altman/psb97/index.html


[1537] John R. Gunn. Sampling protein conformations using segment libraries and a genetic algorithm. Journal ofChemical Physics, 106(?):4270–4281, ? 1997. (http://www.cerca.umontreal.ca/∼gunnj/refs/p7.shtml)ga97aJRGunn.

[1538] Jan Torleif Pedersen and John Moult. Folding simulation with genetic algorithms and a detailed moleculardescription. Journal of Molecular Biology, 269(?):240–259, ? 1997. * ChA 146223n/97 [] ga97aJTPedersen.

[1539] Charles E. Kaiser, Jr., Gary B. Lamont, Laurence D. Merkle, George H. Gates, Jr., and Ruth Pachter.Exogenous parameter selection in a real-valued genetic algorithm. In Proceedings of 1997 InternationalConference on Evolutionary Computation, pages 569–574, Indianapolis, IN, 13.-16. April 1997. IEEE, NewYork, NY. ga97aKaiser.

[1540] Greg A. Lazar, John R. Desjarlais, and Tracy M. Handel. De novo design of the hydrophobic core ofubiquitin. Protein Science, 6(6):1167–1178, June 1997. ga97aLazar.

[1541] Leping Li, Thomas A. Darden, Steven J. Freedman, Barbara C. Furie, Bruce Furie, James D. Baleja,Howard Smith, Rchard G. Hiskey, and Lee G. Pedersen. Refinement of the NMR solution structure ofthe gamma-carboxyglutamic acid domain of coagulation factor IX using molecularBLdynamics simulationwith initial Ca2+ positions determined by genetic algorithm. Biochemistry, 36(8):2132–2138, 25. February1997. ga97aLepingLi.

[1542] David Levine, Michael Facello, Philip Hallstrom, Gregory Reeder, Brian Walenz, and Fred Stevens.STALK: an interactive system for virtual molecular docking. IEEE Computational Science and Engi-neering, 4(2):55–65, April-June 1997. ga97aLevine.

[1543] Martin Ebeling. Protein folding: optimized sequences obtained by simulated breeding in a minimalistmodel. Biopolymers, 41(2):165–180, February 1997. †EI M057512/97 ga97aMEbeling.

[1544] Michael Jason Bower. The development of new tools for homology modeling. PhD thesis, University ofCalifornia, San Francisco, 1997. * www /UMI ga97aMJBower.

[1545] Michael L. Raymer, Paul C. Sanchagrin, William F. Punch, III, Sridhar Venkataraman, Erik D. Good-man, and Leslie A. Kuhn. Predicting conserved water-mediated and polar ligand interactions in proteinsusing a K-nearest-neighbors genetic algorithm. Journal of Molecular Biology, 265(4):445–464, ? 1997. *ga97aMLRaymer.

[1546] Stefano Morisetti. Discrete Haar transformation and protein structure. Journal of Biomolecular Structure& Dynamics, 15(3):489–497, ? 1997. †ChA 189611/98 ga97aMorosetti.

[1547] Arnold Neumaier. Molecular modeling of proteins and mathematical prediction of protein structure. SIAMReview, 39(?):407–460, September 1997. (http://solon.cma.univie.ac.at/$\sim$\neum/papers.html#protein) ga97aNeumaier.

[1548] N. K. Shah, Paul A. Rejto, and Gennady M. Verkhivker. Structural consensus in ligand-protein dockingidentifies recognition peptide motifs that bind streptavidin. Proteins: Structure, Function, and Genetics,28(?):421–433, ? 1997. †David E. Clark/bib ga97aNKShah.

[1549] Nathalie Meurice, Laurence Leherte, Daniel P. Vercauteren, Jean-Jacques Bourguignon, and Camille G.Wermuth. Development of a genetic algorithm method especially designed for the comparison of molecularmodels: Application to the elucidation of the benzodiazepine receptor pharmacophore. In H. van deWaterbeemd, B.Testa, and G. Folkers, editors, Computer-Assisted Lead Find. Optim. (11th EuropeanSymposium on Quantitative Structure-Activity Relations), Current Tools for Medicinal Chemistry, pages499–509. John Wiley - VCH, Weinheim (Germany), 1997. †ChA 199619c/97 ga97aNMeurice.

[1550] Paul A. Rejto and Gennady M. Verkhivker. Mean field analysis of FKBP-12 complexes with FK506and rapamycin: Implications for a role of crystallographic water molecules in molecular recognition andspecificity. Proteins: Structure, Function, and Genetics, 28(?):313–324, ? 1997. †David E. Clark/bibga97aPARejto.

[1551] A. Piccolboni and G. Mauri. Application of evolutionary algorithms to protein folding prediction. InN. K. Kasabov et al, editor, Proceedings of the 1997 International Conference on Neural InformationProcessing and Intelligent Information Systems, volume 2, pages 1352–1355, Dunedin (New Zealand),24.-28. November 1997. Springer-Verlag, Singapore. †[1614] CCA72356/98 ga97aPiccolboni.

[1552] Andrew R. Poirrette, Peter J. Artymiuk, David W. Rice, and Peter Willett. Comparison of protein surfacesusing a genetic algorithm. Journal of Computer-Aided Molecular Design, 11(6):557–569, November 1997.ga97aPoirrette.

[1553] Raffaele Calabretta, Stefano Nolfi, and Domenico Parisi. An artificial life model for predicting the tertiarystructure of unknown proteins that emulates the folding process. In Y. Bar-Yam, editor, Proceedingsof the International Conference on Complex Systems, volume ?, pages 862–875, Nashua, NH, USA, 21.-26. September 1997. ? ga97aRCalabretta.

http://www.cerca.umontreal.ca/~ gunnj/refs/p7.shtml

http://solon.cma.univie.ac.at/$sim $ neum/papers.html#protein

http://solon.cma.univie.ac.at/$sim $ neum/papers.html#protein

Bibliography 163

[1554] Leszek Rychlewski and Adam Godzik. Secondary structure prediction using segment similarity. ProteinEngineering, 10(10):1143–1153, October 1997. ga97aRychlewski.

[1555] Steven A. Benner, Gina Cannarozzi, Dietlind Gerloff, Marcel Turcotte, and Gareth Chelvanayagam. Bonafide predictions of protein secondary structure using transparent analyses of multiple sequence alignments.Chemical Reviews, 97(8):2725–2843, December 1997. ga97aSABenner.

[1556] Clare Sansom. Evolution goes for GOLD in silico. Nature Biotechnology, 15(?):624, July 1997. ga97aSansom.

[1557] Seiji Saito, Masaki Sasai, and Tetsuya Yomo. Evolution of the folding ability of proteins through functionalselection. Proceedings of the National Academy of Sciences of the United States of America, 94(21):11324–11328, 14. October 1997. ga97aSSaito.

[1558] Sung-Sau So and Martin Karplus. Three-dimensional quantitative structure-activity relationships frommolecular similarity matrixes and genetic neural networks 1. method and validations. Journal of MedicinalChemistry, 40(26):4347–4359, 19. December 1997. ga97aSung-SauSo.

[1559] Francesco Vivarelli, Piero Fariselli, and Rita Casadio. The prediction of protein secondary structure with acascade correlation learning architecture of neural networks. Neural Computat. Appl., 6(1):57–62, ? 1997.* CCA 98973/97 ga97aVivarelli.

[1560] Dirk Weuster-Botz, R. Kelle, M. Frantzen, and C. Wandrey. Substrate controlled fed-batch productionof L-lysine with corynebacterium glutamicum. Biotechnol Prog, 13(4):387–393, 1997. †EI M170046/97ga97aWeuster-Botz.

[1561] Zhirong Sun and Hao Han. The evolution simulation of zinc finger domain sequence. application of geneticalgorithms in protein structure study. Chin. Sci. Bull., 42(22):1925–1928, ? 1997. * ChA 112016c/98ga97aZhirongSun.

[1562] C. E. Kaiser, L. D. Merkle, G. B. Lamont, George H. Gates, Jr., and R. Pachter. Case studies in proteinstructure prediction with real-valued genetic algorithms. In Proceedings of the Eighth SIAM Conference onParallel Processing for Scientific Computing, page 8pp, Minneapolis, MN, 14.-17. March 1997. Soc. Ind.Appl. Math., Philadelphia, PA (USA). †CCA101008/99 ga97bCEKaiser.

[1563] Thomas Dandekar and Patrick Argos. Applying experimental data to protein fold prediction with thegenetic algorithm. Protein Engineering, 10(8):877–893, August 1997. ga97bDandekar.

[1564] Hong Ming Chen, Tian Rui Ren, and Jia Ju Zhou. Receptor mapping used for predicting bioactivity. J.Chin. Pharm. Sci., 6(3):149–153, ? 1997. * ChA 121248y/99 ga97bHongMingChen.

[1565] Jan Torleif Pedersen and John Moult. Ab initio protein folding simulation with genetic algorithms: Sim-ulations on the complete sequence of small proteins. Proteins: Structure, Function, and Genetics, Suppl1(?):179–184, ? 1997. †David E. Clark/bib ga97bJTPedersen.

[1566] A. Piccolboni and G. Mauri. Application of evolutionary algorithms to protein folding prediction. In?, editor, Proceedings of the Artificial Evolution 97 (EA’97) Conference, pages 123–135, Nimes (France),22.-24. October 1997. Springer-Verlag, Berlin. * CCA 40990/98 ga97bPiccolboni.

[1567] Sung-Sau So and Martin Karplus. Three-dimensional quantitative structure-activity relationships frommolecular similarity matrixes and genetic neural networks.2. applications. Journal of Medicinal Chemistry,40(26):4360–4371, 19. December 1997. ga97bSung-SauSo.

[1568] Thomas Dandekar and R. Konig. Computational methods for the prediction of protein folds. Biochimicaet Biophysica Acta – Protein Structure and Molecular Enzymology, 1343(?):1–15, ? 1997. †David E.Clark/bib ga97cDandekar.

[1569] Thomas Dandekar and M. Leippe. Molecular modeling of amoebapore and NK-lysin: A four-alpha-helixbundle of cytotic peptides from distantly related organisms. Folding and Design, 2(?):47–52, ? 1997.†David E. Clark/bib ga97dDandekar.

[1570] Aaron R. Dinner, Sung-Sau So, and Martin Karplus. Use of quantitative structure-property relationships topredict the folding ability of model proteins. Proteins: Structure, Function, and Genetics, 33(2):177–203,1. November 1998. ga98aARDinner.

[1571] Martin J. Baylay, Gareth Jones, Peter Willett, and Michael P. Williamson. GENFOLD: A genetic algo-rithm for folding protein structures using NMR restraints. Protein Science, 7(2):491–499, February 1998.ga98aBaylay.

[1572] Brooke E. Mitchell and Peter C. Jurs. Prediction of infinite dilution activity coefficients of organic com-pounds in aqueous solution from molecular structure. Journal of Chemical Information and ComputerSciences, 38(2):200–209, March/April 1998. ga98aBEMitchell.


[1573] C. D. Klein and A. J. Hopfinger. Pharmacological activity and membrane interactions of antiarrhythmics:4-D QSAR/QSPR analysis. Pharmaceutical Research, 15(?):303–311, ? 1998. †David E. Clark/bibga98aCDKlein.

[1574] P. Chacon, F. Moran, J. F. Diaz, E. Pantos, and J. M. Andreu. Low-resolution structures of proteins insolution retrieved from X-ray scattering with a genetic algorithm. Biophysical Journal, 74(6):2760–2775,June 1998. †BA 210396/98 ga98aChacon.

[1575] Daron M. Standley, John R. Gunn, Richard A. Friesner, and Ann E. McDermott. Tertiary structureprediction of mixed α/β proteins via energy minimization. Proteins: Structure, Function, and Genetics,33(2):240–252, ? 1998. * ChA 22460e/99 ga98aDaronMStandley.

[1576] David D. Strantz and LeRoy B. Martin III. Derivation of peptide sequences from mass spectral data usingthe genetic algorithm. Journal of Biomolecular Techniques, ?(?):?, ? 1998. ga98aDDStrantz.

[1577] Frank Herrmann and Paul Levi. Massively parallel genetic algorithm applied to molecular structureoptimization by energy minimization. In ?, editor, Proceedings of the ACM International Conference onSupercomputing, Mol. Bioinf. Workshop, pages 9–19, Stuttgart (Germany), ? 1998. Shaker Verlag, Aachen(Germany). * ChA 242152a/98 ga98aFHerrmann.

[1578] Kiyoshi Hasegawa and Kimito Funatsu. GA strategy for variable selection in QSAR studies: GAPLS andD-optimal designs for predictive QSAR model. Journal of Molecular Structure: THEOCHEM, 425(?):255–262, ? 1998. †ChA 12289w/98 ga98aHasegawa.

[1579] John D. Holliday and Peter Willett. Using a genetic algorithm to identify common structural features insets of ligands. Journal of Molecular Graphics and Modelling, 15(?):221–232, ? 1998. †ChA 278637f/98ga98aHolliday.

[1580] Hongming Chen, Jiaju Zhou, and Guirong Xie. PARM: a genetic evolved algorithm to predict bioac-tivity. Journal of Chemical Information and Computer Sciences, 38(2):243–250, March/April 1998.ga98aHongmingChen.

[1581] John R. Koza, Forrest H. Bennett III, and David Andre. Classifying proteins as extracellular usingprogramming motifs and genetic programming. In Proceedings of the 1998 IEEE International Conferenceon Evolutionary Computation, volume ?, pages 212–217, Anchorage, AK (USA), 4.-9. May 1998. IEEE,New York, NY. ga98aJohnKoza.

[1582] Jacquline Yadgari and Amihood Amir. Representation and data structure of genetic algorithms for pro-tein threading. In ?, editor, Proceedings of the Sixth International Conference on Intelligent Systems forMolecular Biology, volume ?, pages 193–202, Menlo Park,CA, USA, ? 1998. AAAI Press. ga98aJYadgari.

[1583] Mehul M. Khimasia and Peter V. Coveney. Protein structure prediction as a hard optimization problem:the genetic algorithm approach. Molecular Simulations, ?(?):?, ? 1998. (to appear; http://www.tcm.phy.cam.ac.uk/∼\mmlk2/Research.html) ga98aKhimasia.

[1584] Natalio Krasnogor, David A. Pelta, P. M. Lopez, P. Mocciola, and E. de la Canal. Genetic algorithms forthe protein folding problem: A critical view. In C. F. E. Alpaydin, editor, Proceedings of Engineering ofIntelligent Systems, page ?, ?, ? 1998. ICSC Academic Press. ga98aKrasnogor.

[1585] Leonid Alex Mirny, Victor I. Abkevich, and Eugene I. Shakhnovich. How evolution makes protein foldquickly. Proceedings of the National Academy of Sciences of the United States of America, 95(9):4976–4981,28. April 1998. ga98aLAMirny.

[1586] Jonathan P. K. Doye, David J. Wales, and Mark A. Miller. Thermodynamics and the global optimizationof Lennard-Jones clusters. The Journal of Chemical Physics, 109(19):8143–8153, 15. November 1998.ga98aMAMiller.

[1587] Nathalie Meurice, Laurence Leherte, and Daniel P. Vercauteren. Comparison of benzodiazepine-like com-pounds using topological analysis and genetic algorithms. SAR and QSAR in Environmental Research,8(?):195–232, ? 1998. †ChA 289537z/98 ga98aMeurice.

[1588] Garrett M. Morris, David S. Goodsell, Robert S. Halliday, Ruth Huey, William E. Hart, Richard K. Belew,and Arthur J. Olson. Automated docking using a Lamarckian genetic algorithm and an empirical bindingfree energy function. J. Comput. Chem., 19(14):1639–1662, ? 1998. * PA 23449/99 ChA 75655d/99ga98aMorris.

[1589] A. Piccolboni and G. Mauri. Distance space evolutionary algorithms for protein folding prediction. InProceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, volume 3,pages 2768–2773, San Diego, CA, 11.-14. October 1998. IEEE. ga98aPiccolboni.

http://www.tcm.phy.cam.ac.uk/~ mmlk2/Research.html

http://www.tcm.phy.cam.ac.uk/~ mmlk2/Research.html

Bibliography 165

[1590] R. R. Gonzalez, C. M. Izquierdo, and J. Seijas. Multiple protein-sequence comparison by genetic algorithms.In Proceedings of the Applications and Science of Computational Intelligence, volume SPIE-, pages 99–102, Orlando, FL, 13.-16. April 1998. SPIE – International Society for Optical Engineering, Belliingham.†P80079 ga98aRRGonzalez.

[1591] Shail Patel, Ian P. Stott, Manmohan Bhakoo, and Peter Elliott. Patenting computer-designed peptides.Journal of Computer-Aided Molecular Design, 12(6):543–556, November 1998. ga98aShailPatel.

[1592] Boris Steipe. Protein design concepts. In Paul von Rague Schleyer, editor, Encyclopedia of ComputationalChemistry, volume 3, pages 2168–2184. John Wiley & Sons, New York, 1998. ga98aSteipe.

[1593] Sung Jin Cho, Weifan Zheng, and Alexander Tropsha. Rational combinatorial library design 2. rationaldesign of targeted combinatorial peptide libraries using chemical similarity probe and the inverse QSARapproaches. Journal of Chemical Information and Computer Sciences, 38(2):259–268, March/April 1998.ga98aSungJinCho.

[1594] Toshiro Kimura, Kiyoshi Hasegawa, and Kimito Funatsu. GA strategy for variable selection in QSARstudies: GA-based region selection for CoMFA modeling. Journal of Chemical Information and ComputerSciences, 38(2):276–282, March/April 1998. ga98aTKimura.

[1595] T. Maeda, K. Kamada, T. Ohkawa, N. Komoda, H. Nakamura, and Akinori Kidera. Feature-extraction ofprotein folds based on secondary structure transformation. In Proceedings of the IEEE International JointSymposia on Intelligence and Systems, pages 158–162, Rockville, MD (USA), 21.-23. May 1998. IEEEComputer Society Press, Los Alamitos , CA. †P80657 ga98aTMaeda.

[1596] T. Yomo, S. Saito, and M. Sasai. Gradual development of protein-like global structures by functionalselection. In ?, editor, Proceedings of the Third International Symposium on Biological Physics, ISBP98,page ?, Santa Fe, NM, 20.-24. September 1998. ? (url:cnls.lanl.gov/Conferences/ISBP98/abstracts.html) * ISBP98 /toc ga98aTYomo.

[1597] I. I. Vaisman, A. Tropsha, and W. F. Zheng. Compositional preferences in quadruplets of nearest-neighborresidues in protein structures - statistical geometry analysis. In Proceedings of the IEEE InternationalJoint Symposia on Intelligence and Systems, pages 163–168, Rockville, MD (USA), 21.-23. May 1998.IEEE Computer Society Press, Los Alamitos , CA. †P80657 ga98aVaisman.

[1598] Wing Yiu Choy and Bryan C. Sanctuary. Using genetic algorithms with a priori knowledge for quan-titative NMR signal analysis. Journal of Chemical Information and Computer Sciences, 38(4):685–690,July/August 1998. ga98aWYChou.

[1599] J. Yadgari, A. Amir, and Ron Unger. Genetic algorithms for protein threading. In ?, editor, Proceedings ofthe Sixth International Conference on Intelligent Systems for Molecular Biology, pages 193–202, Montreal,Que. (Canada), 28. June-1. July 1998. AAAI, Menlo Park, CA. * CCA 66591/99 ga98aYadgari.

[1600] Y. Cui, R. S. Chen, and W. H. Wong. Protein folding simulation with genetic algorithm and supersecondarystructure constraints. Proteins: Structure, Function, and Genetics, 31(?):247–257, ? 1998. †David E.Clark/bib ga98aYCui.

[1601] Alex Yap and Irena Cosic. Application of genetic algorithm for predicting tertiary structures of peptidechains. In Proceedings of the First Joint BMES/EMBS Conference, volume 2, page 1214, Atlanta, GA,13.-16. October 1999. IEEE, Piscataway, NJ. ga99aAlexYap.

[1602] A. R. Dinner, E. Verosub, and Martin A. Karplus. Use of quantitative structure-property relationshipto design larger model proteins that fold rapidly. Protein Eng., 12(11):909–917, November 1999. *PubMed10585496 ga99aARDinner.

[1603] Alex Yap and Irena Cosic. Application of genetic algorithms for predicting tertiary structures of peptidechains. In ?, editor, Proceedings of The First Joint BMES/EMBS Conference, volume ?, page 1214,Atlanta, GA, USA, 13.-16. October 1999. ? ga99aAYap.

[1604] Bjorn Olsson. Using evolutionary algorithms in the design of protein fingerprints. In Wolfgang Banzhaf etal, editor, Proceedings of the Genetic and Evolutionary Computation Conference – GECCO 99, volume ?,pages 1636–1642, Orlando, FL, 13. July 1999. Morgan Kaufmann. †CiteSeer ga99aBOlsson.

[1605] Brian Hoffman, Sung Jin Cho, Weifan Zheng, Steven Wyrick, David E. Nichols, Richard B. Mailman, andAlexander Tropsha. Quantitative structure-activity relationship modeling of dopamine D1 antagonist usingcomparative molecular field analysis, genetic algorithms - partial least-squares, and K nearest neighbormethods. J. Med. Chem., 42(17):3217–3226, 1999. †ChA280995/99 ga99aBrianHoffman.

[1606] David J. Wales and Harold A. Scheraga. Global optimization of clusters, crystals, and biomolecules.Science, 285(5432):1368–1372, 27. August 1999. ga99aDJWales.

url:cnls.lanl.gov/Conferences/ISBP98/abstracts.html

url:cnls.lanl.gov/Conferences/ISBP98/abstracts.html


[1607] Garrison W. Greenwood, Jae-Min Shin, Byungkook Lee, and Gary B. Fogel. A survey of recent work onevolutionary approaches to the protein folding problem. In Proceedings of the 1999 Congress on Evolution-ary Computation-CEC99, volume 1, pages 488–495, Washington, DC, 6.-9. July 1999. IEEE, Piscataway,NJ. ga99aGreenwood.

[1608] Kay Hamacher and W. Wenzel. Scaling behaviour of stochastic minimization algorithms in a perfect funnellandscape. Physical Review E, 59(1):938–941, January 1999. ga99aHamacher.

[1609] Ulrich H. E. Hansmann and Yuko Okamoto. New Monte Carlo algorithms for protein folding. CurrentOpinion in Structural Biology, 9(2):177–183, April 1999. ga99aHansmann.

[1610] Isao Karube, Yoichi Okabe, and Koichi Sumikura. Method for detecting highly functional polypeptides ornucleic acids, 1999. (WO patent no. 9911818. Issued March 11 1999) * fi.espacenet.com ga99aIKarube.

[1611] J. R. Desjarlais and T. M. Handel. Side-chain and backbone flexibility in protein core design. J. Mol.Biol., 290(1):305–318, 2. July 1999. * PubMed10388574 ga99aJRDesjarlais.

[1612] Junmei Wang, Tingjun Hou, Lirong Chen, and Xiaojie Xu. Automated docking of peptides and proteins bygenetic algorithm. Chemometrics and Intelligent Laboratory Systems, 45(1,2):281–286, 1999. (Proceedingsof the 1st International Conference on Chemometrics in China (1STCCC), Zhangjiajie (China), Oct 17.-23.,1997) * ChA 308061z/99 ga99aJunmeiWang.

[1613] Jukka V. Lehtonen, Konstantin Denessiouk, Alex C. W. May, and Mark S. Johnson. Finding local structuralsimilarities among families of unrelated protein structures: a generic non-linear alignment algorithm.Proteins: Structure, Function, and Genetics, 34(3):341–355, ? 1999. * ChA 278902e/99 ga99aJVLehtonen.

[1614] Natalio Krasnogor, William E. Hart, Jim Smith, and David A. Pelta. Protein structure prediction withevolutionary algorithms. In ?, editor, Proceedings of the GECCO-99 Conference, volume ?, page ?, Orlando,FL, 13.-17. July 1999. ? ga99aKrasnogor.

[1615] Ovanes Mekenyan, Dimitar Dimitrov, Nina Nikolova, and Stoyan Karabunarliev. Conformational cover-age by a genetic algorithm. Journal of Chemical Information and Computer Sciences, 39(6):997–1016,November/December 1999. ga99aMekenyan.

[1616] Masao Karube and Youchei Yokobayashi. Method for searching for peptides and process for producingcompounds, 1999. (EP patent no. 0916677. Issued May 19 1999) * fi.espacenet.com ga99aMKarube.

[1617] Rainer Konig and Thomas Dandekar. Improving genetic algorithms for protein folding simulations bysystematic crossover. BioSystems, 50(1):17–25, ? 1999. †ChA 113349n/99 ga99aRKonig.

[1618] Sung-Sau So and Martin Karplus. A comparative study of ligand-receptor complex binding affinity predic-tion methods based on glycogen phosphorylase inhibitors. Journal of Computer-Aided Molecular Design,13(3):243–258, May 1999. ga99aSung-SauSo.

[1619] T. Hou, J. Wang, L. Chen, and X. Xu. Automated docking of peptides and proteins by using a geneticalgorithm combined with a tabu search. Protein Eng., 12(8):639–648, August 1999. * MedPub10469824ga99aTHou.

[1620] Tetsuya Yomo, Seiji Saito, and Masaki Sasai. Gradual development of protein-like global structures throughfunctional selection. Nature Structural Biology, 6(8):743–746, August 1999. ga99aTYomo.

[1621] Wing Yiu Choy. Using numerical methods and artificial intelligence in NMR data processing and analysis.PhD thesis, McGill University, 1999. * www /UMI ga99aWingYiuChoy.

[1622] Zhirong Sun, Xiaofeng Xia, Qing Guo, and Dong Xu. Protein structure prediction in a 210-type lat-tice model: parameter optimization in the genetic algorithm using orthogonal array. J. Protein Chem.,18(1):39–46, ? 1999. †ChA 293593y/99 ga99aZhirongSun.

[1623] Z. Sun, X. Xia, Q. Guo, and D. Xu. Protein structure prediction in a 210-type lattice model: parameteroptimization in the genetic algorithm using orthogonal array. J. Protein Chem, 18(1):39–46, January 1999.* PubMed10071927 ga99aZSun.

[1624] Junmei Wang, Tingjun Hou, Lirong Chen, and Xiaojie Xu. Conformation analysis of peptides usingMonte Carlo simulations combined with the genetic algorithm. Chemometrics and Intelligent LaboratorySystems, 45(1,2):347–351, 1999. (Proceedings of the 1st International Conference on Chemometrics inChina (1STCCC), Zhangjiajie (China), Oct 17.-23., 1997) * ChA 308062a/99 ga99bJunmeiWang.

[1625] Jukka V. Lehtonen, Konstantin Denessiouk, and Mark S. Johnson. Speeding up comparison of three-dimensional protein structures. CSC News, 11(4):16–18, November 1999. ga99bJVLehtonen.

[1626] Louis John Sparvero. A genetic algorithm for non-enzymic template-directed ligation of RNA oligomers.PhD thesis, Cornell University, 1999. (UMI Nr. DA9914665) †ChA 348664e/99 ga99bSpallino.

Bibliography 167

[1627] Tingjun Hou, Junmei Wang, and Xiaojie Xu. Applications of genetic algorithms on the structure-activityrelationship analysis of some cinnamamides. Journal of Chemical Information and Computing Science,39(5):775–781, September-October 1999. †PA 182847/99 ga99bTingjunHou.

[1628] Jarmo T. Alander. Protein folding problem, An algorithmic lattice model approach. Licentiate thesis,University of Helsinki, Department of Physics, 1999. ga99dAlander.

[1629] Jarmo T. Alander. Indexed bibliography of genetic algorithms and proteins. Report 94-1-PROTEIN,University of Vaasa, Department of Information Technology and Production Economics, 1995. http:

//lipas.uwasa.fi/∼TAU/reports/report94-1/gaPROTEINbib.pdf gaPROTEINbib.

[1630] A. Kirlik. Acquisition and production of skilled behavior in dynamic decision-making tasks. Govermentreport N92-31341/0, Georgia Institute of Technology, 1992. * CA 3822 Vol. 37 No. 5/6 ga:Kirlik92a.

[1631] Peter J. B. Hancock. Evolving faces from principal components. Behavior Research Methods, Instrumentsand Computers, 32(2):327–333, May 2000. * PsycINFO 2000-12007-016 ga00aPJBHancock.

[1632] Chhanda Chakraborti. Human deductive reasoning, genetic algorithms: a proposed model. Journal ofIndian Council of Philosophical Research, XVII(1):63–93, January-March 2001. ga01aCChakraborti.

[1633] Victor Johnston and Craig Caldwell. Evolving facial composite with a genetic algorithm. British Jour-nal of Psychology, ?(?):?, ? 1994. (in press) †News / Dolan Computational Intelligence-kirja s. 426ga94aJohnston.

[1634] J. Batali and W. N. Grundy. Modeling the evolution of motivation. Evolutionary Computation, 4(3):?,1997. (Journal: http://www-mitpress.mit.edu/jrnls-catalog/evolution.html) †toc ga97aBatali.

[1635] R. Onken and J. P. Fararic. Adaptation to the driver as part of a driver monitoring and warning system.Accident Analysis and Prevention, 29(4):507–513, 1997. †EI M154198/97 ga97aROnken.

[1636] David D. Clarke, Richard Forsyth, and Richard Wright. Behavioural factors in accidents at road junctions:The use of a genetic algorithm to extract descriptive rules from police case files. Accident Analysis andPrevention, 30(2):223–234, March 1998. †PsycINFO 1997-38812-009 ga98aDavidDClarke.

[1637] Stephanie Forrest, editor. Proceedings of the Fifth International Conference on Genetic Algorithms,Urbana-Champaign, IL, 17.-21. July 1993. Morgan Kaufmann, San Mateo, CA. ga:GA5.

[1638] IJCNN’93-NAGOYA Proceedings of 1993 International Joint Conference on Neural Networks, Nagoya(Japan), 25.-29. October 1993. IEEE. ga:IJCNN93.

[1639] Javier Causa, Gorazd Karer, Alfredo N´

nez, Doris Saez, Igor Skrjanc, and Borut Zupancic. Hybrid fuzzy predictive control based on genetic algo-rithms for the temperature control of a batch reactor. Computers and Chemical Engineering, 32(?):3254–3263, ? 2008. ga08aJavierCausa.

[1640] D. W. Pearson, N. C. Steele, and R. F. Albrecht, editors. Artificial Neural Nets and Genetic Algorithms,Ales (France), 19.-21. April 1995. Springer-Verlag, Wien New York. ga95ICANNGA.

[1641] Thomas M. Walski, Donald V. Chase, Dragan A. Savic, Walter Grayman, Stephen Beckwith, and EdmundoKoelle. Appendix d: Model optimization techniques. In Advanced Water Distribution Modeling andManagement, pages 643–684. Haestad Press, Waterbury, CT, 2003. ga03aTMWalski.

[1642] Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg, and Hans-Paul Schwefel, editors. Parallel ProblemSolving from Nature – PPSN IV, volume 1141 of Lecture Notes in Computer Science, Berlin (Germany),22.-26. September 1996. Springer-Verlag, Berlin. ga96PPSN4.

[1643] John H. Holland. Adaptation in Natural and Artificial Systems. MIT Press, Cambridge, 1992.ga:Holland92book.

[1644] John R. Koza. Genetic Programming: On Programming Computers by Means of Natural Selection andGenetics. The MIT Press, Cambridge, MA, 1992. ga:Koza92book.

[1645] R. F. Albrecht, C. R. Reeves, and N. C. Steele, editors. Artificial Neural Nets and Genetic Algorithms,Innsbruck, Austria, 13. -16. April 1993. Springer-Verlag, Wien. ga:ANNGA93.

[1646] Thomas Back, editor. Proceedings of the Seventh International Conference on Genetic Algorithms, EastLansing, MI, 19.-23. July 1997. Morgan Kaufmann Publishers, Inc., San Francisco, CA. †HYLK ga97ICGA.

[1647] Pavel Osmera, editor. Proceedings of the 3rd International Mendel Conference on Genetic Algorithms,Optimization problems, Fuzzy Logic, Neural networks, Rough Sets (MENDEL’97), Brno (Czech Republic),25.-27. June 1997. Technical University of Brno. ga97Brno.

http://lipas.uwasa.fi/~TAU/reports/report94-1/gaPROTEINbib.pdf

http://lipas.uwasa.fi/~TAU/reports/report94-1/gaPROTEINbib.pdf

http://www-mitpress.mit.edu/jrnls-catalog/evolution.html


[1648] J. R. McDonnell, R. G. Reynolds, and David B. Fogel, editors. Evolutionary Programming IV: Proceedingsof the Fourth Annual Conference on Evolutionary Programming (EP95), San Diego, CA, 1.-3. March 1995.MIT Press. †Fogel ga95EP.

[1649] Lance D. Chambers, editor. Practical Handbook of Genetic Algorithms, volume 2, Applications. CRCPress, Boca Raton, FL, 1995. ga95CRC2.

[1650] John R. Koza, Kalyanmoy Deb, Marco Dorico, David B. Fogel, Max Garson, Hitoshi Iba, and Rick L.Riolo, editors. Genetic Programming 1997: Proceedings of the Second Annual Conference, Stanford, CA,13.-16. July 1997. Morgan Kaufmann, San Francisco, CA. †prog ga97GP.

[1651] R. Manner and B. Manderick, editors. Parallel Problem Solving from Nature, 2, Brussels, 28.-30. September1992. Elsevier Science Publishers, Amsterdam. ga:PPSN2.

[1652] ?, editor. IEE Computing and Control Division Colloquium on ’Applications of Genetic Algorithms’,volume Digest No. 1994/067, London, 15. March 1993. IEE, London. †CCA 51336/94 EI M151564/94ga94IEE067.

[1653] Proceedings of the Second IEEE Conference on Evolutionary Computation, Perth (Australia), November1995. IEEE, New York, NY. ga95ICEC.

[1654] Christopher G. Langton, Charles Taylor, J. Doyne Farmer, and Steen Rasmussen, editors. Artificial Life II,Proceedings of the Workshop on Artificial Life Held February, 1990 in Santa Fe, New Mexico, ProceedingsVolume X, Santa Fe Institute Studies in the Sciences of Complexity. Addison-Wesley, Reading, MA, 1992.ga:ALifeII.

[1655] Richard K. Belew and Lashon B. Booker, editors. Proceedings of the Fourth International Conference onGenetic Algorithms, San Diego, 13.-16. July 1991. Morgan Kaufmann Publishers. ga:GA4.

[1656] Ingo Rechenberg. Evolutionsstrategie ’94. Frommann-Holzboog-Verlag, Stuttgart (Germany), 1994. (inGerman; includes also [?]) ga94aRechenberg.

[1657] Yuval Davidor, Hans-Paul Schwefel, and Reinhard Manner, editors. Parallel Problem Solving from Nature– PPSN III, volume 866 of Lecture Notes in Computer Science, Jerusalem (Israel), 9.-14. October 1994.Springer-Verlag, Berlin. † ga94PPSN3.

[1658] Larry J. Eshelman, editor. Proceedings of the Sixth International Conference on Genetic Algorithms,Pittsburgh, PA, 15.-19. July 1995. ? †prog ga95ICGA.

[1659] Jarmo T. Alander, editor. Proceedings of the Third Nordic Workshop on Genetic Algorithms and theirApplications (3NWGA), Helsinki (Finland), 18.-22. August 1997. Finnish Artificial Intelligence Society(FAIS). (ftp://ftp.uwasa.fics/3NWGA/*.ps.Z) ga97NWGA.

[1660] Jarmo T. Alander, editor. Proceedings of the Second Nordic Workshop on Genetic Algorithms and theirApplications (2NWGA), Proceedings of the University of Vaasa, Nro. 11, Vaasa (Finland), 19.-23. August1996. University of Vaasa. (ftp://ftp.uwasa.fics/2NWGA/*.ps.Z) ga96NWGA.

[1661] Jaime J. Fernandez, Kristin A. Farry, and John B. Cheatham. Waveform recognition using genetic program-ming: The myoelectric signal recognition problem. In Koza et al. [1662], pages 63–71. ga96aFernandez.

[1662] John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors. Proceedings of the GP-96Conference, Stanford, CA, 28.-31. July 1996. MIT Press, Cambridge, MA. †prog ga96GP.

[1663] Daniel S. Weile and Eric Michielssen. Genetic algorithm optimization applied to electromagnetics - a review.IEEE Transactions on Antennas and Propagation, 45(3):343–353, March 1997. (89 refs) ga97aWeile.

[1664] John H. Holmes, Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson. Learning classifiersystems: New models, successful applications. Information Processing letters, 82(?):23–30, ? 2002.ga02aJHHolmes.

[1665] J. P. C. van Santvoort. Book review: Radiotherapy treatment planning: New system approaches. Physicsin Medicine and Biology, 45(12):3861, December 2000. ga00aSantvoort.

[1666] David Rogers. Evolutionary statistics: Using a genetic algorithm and model reduction to isolate alternatestatistical hypotheses of experimental data. In Back [1646], pages 735–742. ga97aDRogers.

[1667] Proceedings of the First IEEE Conference on Evolutionary Computation, Orlando, FL, 27.-29. June 1994.IEEE, New York, NY. ga94ICCIEC.

[1668] Anthony Richard Burton. A hybrid neuro-genetic pattern evolution system applied to musical composition.PhD thesis, University of Surrey, School of Electronic Engineering, 1998. (http://www.ee.surrey.ac.uk/Personal/A.Burton/work.html) ga98aARBurton.

[1669] Ingo Rechenberg. Evolutionsstrategie: Optimierung technisher Systeme nach Prinzipien der biologischenEvolution. Frommann-Holzboog Verlag, Stuttgart, 1973. (reprint in [1656]) † ga:Rechenberg73book.

ftp://ftp.uwasa.fics/3NWGA/*.ps.Z

ftp://ftp.uwasa.fics/2NWGA/*.ps.Z

http://www.ee.surrey.ac.uk/Personal/A.Burton/work.html

http://www.ee.surrey.ac.uk/Personal/A.Burton/work.html

University of Vaasa, Finland 169

Notations

†(ref) = the bibliography item does not belong to my collection of genetic papers.(ref) = citation source code. ACM = ACM Guide to Computing Literature, EEA = Electrical & Elec-tronics Abstracts, BA = Biological Abstracts, CCA = Computers & Control Abstracts, CTI = CurrentTechnology Index, EI = The Engineering Index (A = Annual, M = Monthly), DAI = Dissertation Ab-stracts International, P = Index to Scientific & Technical Proceedings, PA = Physics Abstracts, PubMed= National Library of Medicine, BackBib = Thomas Back’s unpublished bibliography, Fogel/Bib = DavidFogel’s EA bibliography, etc* = only abstract seen.? = data of this field is missing (BiBTeX-format).

The last field in each reference item in Teletype font is the BiBTEXkey of the corresponding reference.


Appendix A

Bibliography entry formats

This documentation was prepared with LATEX and reproduced from camera-ready copy supplied by the editor. The oneswho are familiar with BibTeX may have noticed that the references are printed using abbrv bibliography style and haveno difficulties in interpreting the entries. For those not so familiar with BibTeX are given the following formats of themost common entry types. The optional fields are enclosed by ”[ ]” in the format description. Unknown fields are shownby ”?”. † after the entry means that neither the article nor the abstract of the article was available for reviewing and sothe reference entry and/or its indexing may be more or less incomplete.Book: Author(s), Title, Publisher, Publisher’s address, year.

Example

John H. Holland. Adaptation in Natural and Artificial Systems. The University of Michigan Press,Ann Arbor, 1975.

Journal article: Author(s), Title, Journal, volume(number): first page – last page, [month,] year.

Example

David E. Goldberg. Computer-aided gas pipeline operation using genetic algorithms and rule learning.Part I: Genetic algorithms in pipeline optimization. Engineering with Computers, 3(?):35–45, 1987.† .

Note: the number of the journal unknown, the article has not been seen.Proceedings article: Author(s), Title, editor(s) of the proceedings, Title of Proceedings, [volume,] pages, location of theconference, date of the conference, publisher of the proceedings, publisher’s address.

Example

John R. Koza. Hierarchical genetic algorithms operating on populations of computer programs. InN. S. Sridharan, editor, Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89),pages 768–774, Detroit, MI, 20.-25. August 1989. Morgan Kaufmann, Palo Alto, CA. † .

Technical report: Author(s), Title, type and number, institute, year.

Example

Thomas Back, Frank Hoffmeister, and Hans-Paul Schwefel. Applications of evolutionary algorithms.Technical Report SYS-2/92, University of Dortmund, Department of Computer Science, 1992.

171

172 Vaasa GA Bibliography

Vaasa GA Bibliography 173

Vaasa Genetic Algorithm Bibliography

Search & Optimise

Main features:

• Over 20,000 references to published papers

• by over 20,000 researchers.

• Available as over 70 special bibliographies online:http://lipas.uwasa.fi/~TAU/reports/report94-1/ga*bib.pdf files.

• Covers all sciences and engineering fields, from basic theory to applica-tions.

• Several indexes and statistical summaries.

• See what problems evolution can solve for you!

Global optimisation and search heuristics called genetic algorithm mimics evolution in nature usingrecombination and selection from a set of solution trials called population. One of the most prominentattractive features of genetic algorithms from the practical point of view of software techniques is theirsimplicity, which makes them easy to implement and tailor to solve practical search and optimisationproblems.

In spite of the seemingly simple processing, the genetic algorithms are good at solving some problemsthat are known to be hard. The simplicity, generality, flexibility, parallelism, and the good problem solvingcapability have made genetic algorithm very popular among various disciplines desperately searchingmethods to solve difficult optimisation problems.

—————Observe that our server has also a selection of our papers on genetic algorithms and other compuationaltopics. See our bibliographies or file ftp.uwasa.fi/cs/README for further details.

174 Vaasa GA Bibliography

file # refs updated contentsga90bib.ps.Z GA in 1990...

.

.....

.

..ga02bib.ps.Z 557 GA in 2002gaACOUSTICSbib.pdf 190 2009/08/17 GA in acousticsgaAIbib.pdf 2566 2013/06/14 GA in artificial intelligencegaAERObib.pdf 854 2009/01/07 GA in aerospacegaAGRObib.pdf 405 2012/08/01 GA in agriculturegaALIFEbib.pdf 181 2009/07/24 GA in artificial lifegaARTbib.pdf 170 2010/08/12 GA in art and musicgaAUSbib.pdf 720 2013/05/14 GA in Australia and New ZealandgaBASICSbib.pdf 1177 2014/04/28 Basics of GAgaBIObib.pdf 1635 2014/05/06 GA in biosciences including medicinegaCADbib.pdf 1407 2012/07/30 GA in Computer Aided DesigngaCHEMbib.pdf 938 2009/07/24 GA in chemical sciences ; previously in gaCHEMPHYSbib.ps.Z

gaCHEMPHYSbib.ps.Z 2277 GA in chemistry and physics; divided into gaCHEMbib.ps.Z and gaPHYSbib.ps.Z 2002gaCIVILbib.pdf 1068 2009/01/07 GA in civil, structural, and mechanical engineeringgaCODEbib.pdf 377 2008/03/20 GA codinggaCOEVObib.pdf 232 2008/09/18 co- and differential evolution GAgaCONTROLbib.pdf 1881 2012/08/08 GA in control and process engineeringgaCSbib.pdf 1453 2008/03/20 GA in comp. sci. (incl. databases, /mining, software testing and GP)gaEARLYbib.pdf 723 2014/04/28 GA in early years (upto 1989)gaEAST-EURObib.ps.Z 679 2003/07/09 GA in the Eastern EuropegaECObib.pdf 1569 2012/07/16 GA in economics and financegaECOLbib.pdf 177 2012/07/16 GA in ecology and biodiversitygaELMAbib.pdf 574 2012/07/20 GA in electromagneticsgaESbib.pdf 464 2008/08/13 Evolution strategiesgaFAR-EASTbib.ps.Z 1556 2011/12/29 GA in the Far East (excl. Japan)gaFEMbib.pdf 86 2009/07/24 GA & FEMgaFINbib.pdf 891 2013/05/22 GA in FinlandgaFPGAbib.pdf 435 2013/11/18 GA & FPGAgaFRAbib.ps.Z 540 2011/12/29 GA in FrancegaFTPbib.ps.Z 1353 2003/07/09 GA papers available via web (ftp and www)gaFUZZYbib.pdf 1521 2012/09/21 GA and fuzzy logicgaGAMEbib.pdf 140 2014/05/06 GA and gamesgaGEObib.pdf 436 2011/12/28 GA in geosciencesgaGERbib.ps.Z 1586 2004/09/22 GA in Germany, Austria, and SwitzerlandgaGPbib.pdf 1006 2012/07/30 genetic programminggaIMPLEbib.pdf 1500 2012/07/30 implementations of GAgaINDIAbib.ps.Z 276 2003/05/23 GA in IndiagaINVERSEbib.pdf 291 2010/01/08 GA in inverse problemsgaIREGbib.pdf 204 2013/10/28 image registrationgaISbib.pdf 87 2009/08/17 immune systemsgaJAPANbib.ps.Z 2475 2013/05/14 GA in JapangaLCSbib.pdf 211 2012/08/08 Learning Classifier SystemsgaLASERbib.pdf 58 2009/07/31 GA and lasersgaLATINbib.ps.Z 649 2003/07/09 GA in Latin America, Portugal & SpaingaLOGISTICSbib.pdf 689 2009/07/27 GA in logistics (incl. TSP)gaMANUbib.pdf GA in manufacturinggaMATHbib.pdf 846 2009/07/27 GA in mathematicsgaMEDICINEbib.pdf 739 2012/08/01 GA in medicinegaMEDITERbib.ps.Z 1810 2003/07/09 GA in the MediterraneangaMICRObib.pdf 83 2008/03/31 GA in microscopy & microsystemsgaMILbib.pdf 113 2009/08/17 GA in military applicationsgaMLbib.pdf 1231 2012/08/08 GA in machine learninggaMSEbib.pdf 575 2013/08/15 GA in materialsgaNANObib.pdf 117 2012/07/17 GA in nanotechnologygaNIRbib.pdf 267 2013/11/18 GA in NIRS (spectroscopy)gaNNbib.pdf 1883 2012/06/28 GA in neural networksgaNORDICbib.pdf 1125 2013/11/18 GA in Nordic countriesgaOPTICSbib.pdf 2168 2014/04/28 GA in optics and image processinggaOPTIMIbib.pdf 923 2003/07/09 GA and optimization (only a few refs)gaORbib.pdf 1704 2012/07/30 GA in operations research

...table continues on the next page...

Vaasa GA Bibliography 175

file # refs updated contentsgaPARAbib.pdf 833 2012/07/30 Parallel and distributed GAgaPARETObib.pdf 469 2009/03/24 Pareto optimizationgaPATENTbib.pdf 462 2009/07/27 GA patentsgaPATTERNbib.pdf 1654 2012/09/21 GA in pattern recognition incl. LCSgaPHYSbib.pdf 2313 2008/04/07 GA in physical sciences ; previously in gaCHEMPHYSbib.ps.Z

gaPIEZObib.pdf 57 2012/07/18 GA & piezogaPOWERbib.pdf 976 2012/06/28 GA in power engineeringgaPROTEINbib.pdf 491 2008/03/12 GA in protein researchgaPSObib.pdf 92 2013/08/15 Particle Swarm OptimisationgaQCbib.pdf 547 2011/03/09 quantum computinggaREMOTEbib.pdf 302 2012/07/20 GA in remote sensinggaROBOTbib.pdf 775 2009/07/27 GA in roboticsgaSAbib.pdf 331 2009/07/24 GA and simulated annealinggaSCHEDULINGbib.pdf 862 2011/12/29 GA in schedulinggaSELECTIONbib.ps.Z 295 2009/07/27 Selection in GAsgaSIGNALbib.pdf 2587 2012/07/27 GA in signal and image processinggaSIMULAbib.pdf 1037 2009/07/24 GA in simulationgaTELEbib.pdf 840 2009/07/27 GA in telecomgaTHEORYbib.pdf 2654 2012/09/17 Theory and analysis of GAgaTHESESbib.pdf 578 2009/01/07 PhD etc thesesgaVAASAbib.pdf 284 2010/08/17 GA in VaasagaVLSIbib.pdf 799 2012/07/16 GA in electronics, VLSI design and testinggaUKbib.ps.Z 1998 2008/05/22 GA in United KingdomgaXbib.ps.Z 129 2013/08/15 GA & X-rays

Table A.1: Indexed genetic algorithm special bibliographies available online in directoryhttp://lipas.uwasa.fi/~TAU/reports/report94-1. New updates only as .pdf files.

Documents

An Indexed Bibliography of Genetic Algorithms in …lipas.uwasa.fi/~TAU/reports/report94-1/gaBIObib.pdfAn Indexed Bibliography of Genetic Algorithms in Biosciences compiled by Jarmo