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Bibliography Page 221
BIBLIOGRAPHY
Adamo, A.P. (1999), “Hotel engineering and maintenance”, In Constantinos, S. and
Wood, R.C. (Eds.). Accommodation Management Perspectives from the International
Hotel Industry. UK: International Thomson Business Press.
Affenzeller, M., Winkler S. and Wagner S. (2009), “Genetic Algorithms and Genetic
Programming: Modern Concepts and Practical Applications”, Chapman-Hall CRC,
ISBN 1584886293
A.J. Kleywegt (2002), “New Approaches for Contract Planning and Booking Control for
Container Carriers”, presented in The Logistics Institute Asia-Pacific First TLI-
APNTNU Workshop on Multimodal Logistics, Singapore.
Alessandro Centro (2006), “Challenge to the Airline Industry: Emergence of Crisis and
Low-cost Carriers”, academisch proefschrift, Vrije Universiteit Amsterdam
Aloysius George, B.R.Rajakumar, D. Binu (2012), “Genetic Algorithm Based Airlines
Booking Terminal Open/ Close Decision System”, ICACCI’12, August 3-5, Chennai, T
Nadu, India.
Alstrup, J., Boas, S., Madsen, O. B. G., and Vidal, R. V. V. (1986), “Booking policy for
flights with two types of passengers”, European Journal of Operational Research,
27:274–288.
Andersen Aurther (1997), “Yield Management in small and medium-sized enterprises in
the tourism industry”, General Report, European Communities
Angeline, P.J., (1996), “Genetic Programming’s Continued Evolution, Advances in
Genetic Programming”, Vol.2, ed Cambridge, MA MIT Press, pp 1-20.
Ankit Kumar Gandhi, Sri Krishna Kumar, Mayank Kumar Pandey, M.K.Tiwari (2011),
“EMPSO-based Optimization for Inter-Temporal Multi-Product Revenue Management
under Salvage Consideration”, Applied Soft Computing, Elsevier Science Publisher,
Vol.11, Isssue 1, pp 468-476, The Netherlands
Anthony Sulistio, Kyong Hoon Kim, and Rajkumar Buyya (2007), “Using Revenue
Management to Determine Pricing of Reservations”, Proceedings of the 3rd IEEE
Bibliography Page 222
International Conference on e-Science and Grid Computing (e-Science, IEEE CS Press,
Los Alamitos, CA, USA), Dec. 10-13, 2007, Bangalore, India.
Anthony Sulistio (2008), “Advance Reservation and Revenue-based Resource
Management for Grid Systems”, Ph.D. Thesis, Australia
Armistead, C. and Clard, G. (1994), “The Coping Capacity Management Strategy in
Services and the Influence on Quality Performance”, International Journal of Service
Industry Management, Vol. 5. No. 2 pp. 5- 22.
Back, T., Hammel U., and Schwefel H.P. (1997), “Evolutionary computation: Comments
on the history and current state”, IEEE Transactions on Evolutionary Computation 1(1),
3–17
Badinelli R.D. (2000), “An optimal, dynamic policy for Hotel Yield Management”,
European Journal of Operational Research 121, 476-503.
Ball, M. O. and Queyranne, M. (2009), “Toward robust revenue management:
Competitive analysis of online booking”, Operations Research, 57:950–963.
Banks J., Carson J., Nelson J., Nicol D. (2001). “Discrete-Event System Simulation”.
Prentice Hall. p. 3.ISBN 0-13-088702-1.
Barut M. and V. Sridharan (2004), “Design and evaluation of a dynamic capacity
apportionment procedure”, European Journal of Operational Research 155, 112-133
(2004).
Beasley, D., Bull D.R. and Martin R.R. (1993), “An Overview of Genetic Algorithms:
Part 2”, Research Topics, University Computing, Vol.15, No.4, pp 170-181.
Bebko, C. P. (2000), “Service Intangibility and its Impact on Consumer Expectations of
Service Quality”, Journal of Services Marketing, Volume 14, Number 1, pp. 9-26
Belobaba, P.P. (1987), “Airline Yield Management: An Overview of Seat Inventory
Control”, Transportation Science, 21, 63-73.
Belobaba, P. (2006), “Flight overbooking: Models and practice”, Lecture notes, MIT,
Boston, MA.
Bertsimas, D. and de Boer, S.V. (2000), “Simulation Based Optimization for Airline
Network Yield Management”, Working Paper, Massachusetts Institute of Technology,
Cambridge, MA.
Bibliography Page 223
Bertsimas and Popescu (2003), “Revenue Management in a Dynamic Network
Environment”, Transportation Science, INFORMS Vol. 37,No. 3,pp. 257–277
Biman Chakraborty and Probal Chaudhuri (2003), “On The Use of Genetic Algorithm
with Elitism in Robust and Nonparametric Multivariate Analysis”, Austrian Journal of
Statistics Volume 32, Number 1&2, 13–27
Birbil, S,I., Frenk, J. B. G., Gromicho, J. A. S., and Zhang, S. (2009), “The role of
robust optimization in single-leg airline revenue management”, Management Science,
55:148–163.
Bitran, G., S. Monschein. (1997), “Periodic Pricing of Seasonal Product in Retailing”,
Mgmnt. Sci. 43, 427-443.
Bitran, G. and Caldentey, R. (2003), “An Overview of Pricing Models for Revenue
Management”, Manufacturing and Service Operations Management, Vol. 5, No. 3, pp.
203-229.
Bitran G. and S.V. Mondschein (1995), “An Application Of Yield Management To Hotel
Industry Considering Multiple Day Stays”, Operations Research 43, 427-443.
Brotherton, B. and Mooney, S. (1992), “Yield Management – Progress and Prospects”,
International Journal of Hospitality Management, Vol. 11 No.1. pp 23-32.
Brumelle, S.L. and McGill, J.I. (1993), “Airline Seat Allocation with Multiple Nested
Fare Classes”, Operations Research, 41, 127-137.
Burgess, C. and Bryant, K. (2001), “Revenue Management – the Contribution of the
Finance Function to Profitability”, International Journal of Contemporary Hospitality
Management, 13/3.pp. 144-150.
Buyya R., D. Abramson, and S. Venugopal (2005), “The Grid Economy”, Proceedings of
the IEEE, 93(3):698.714.
Caruana, R.A. and Schaffer J.D., (1988), “Representation and hidden bias: Gray versus
binary coding in genetic algorithms”, Proceedings of 5th Int. Conf. on Machine Learning
(Ann Arbor, MI) ed. J Laird (San Mateo, CA: Morgan Kaufmann), pp 153–161.
Chapman, S.N., and Carmel.J.I. (1992), “Demand /Capacity Management in Health
Care: An Application of Yield Management”, Health Care Management Review,
17(4):45-53.
Bibliography Page 224
Chatwin, R. E. (1998), “Multi-period airline overbooking with a single fare class”,
Operations Research, 46:805–819.
Chatwin, R. E. (1999), “Continuous-time airline overbooking with time dependent fares
and refunds”, Transportation Science, 33:182–191.
Chi, Z. (1995), “Airline Yield Management in a Dynamic Network Environment”, PhD
thesis, Operations Research Center, Massachusetts Institute of Technology, Cambridge,
MA.
Coughlan, J. (1999), “Airline overbooking in the multi-class case”, Journal of the
Operational Research Society, 50:1098–1103.
Crina Groşan, Mihai Oltean,, Mihaela Oltean, “The role of elitism in Multiobjective
Optimization with Evolutionary Algorithms”,
http://www.cs.ubbcluj.ro/~cgrosan/grosanZUAI.pdf
Cross Robert G.(1997), “Revenue Management: Hard-Core Tactics for Market
Domination,”, Broadway Books, New York
Curry, R.E. (1990), “Optimal Airline Seat Allocation with Fare Classes Nested by
Origins and Destinations”, Transportation Science, 24, 193-204.
De Jong K.A. (1975), “An analysis of the behavior of a class of genetic adaptive
systems”, Doctoral dissertation, University of Michigan, Ann Arbor, Michigan.
De Jong, K.A. (1975) “An Analysis of the behaviour of a class of genetic adaptive
systems”. (Doctoral dissertation, University of Michigan), 36(10), 5140B (University
Microfilms No. 76-9381).
Donald Knuth (1997), “The Art of Computer Programming, Volume 1: Fundamental
Algorithms”, Third Edition. Addison-Wesley, ISBN 0-201-89683-4. Section 1.2.11:
Asymptotic Representations, pp.107–123.
Donaghy, K and McMahon, U, (1995), “Managing Yield: A Marketing Perspective”,
Journal of Vacation Marketing, Vol. 2, No. 1, pp 55 - 62.
Donaghy, K., McMahon, U and McDowell, D. (1995), “Yield Management: An
Overview”, International Journal of Hospitality Management, Vol. 14 No. 2,pp. 139-150.
Donaghy, K., McMahon-Beattie and McDowell, D. (1997), “Implementing Yield
Management: Lessons From the Hotel Sector”, International Journal of Contemporary
Hospitality Management, 9/2. pp. 50-54.
Bibliography Page 225
Dongxian Niu, Qian Zhang (2013), “A Robust Revenue Optimization Approach for
Power Plant Revenue Management”, Applied Mathematics and Materials, Vol373-375,
pp 1784-87
Eiben, A. E. & Smith, J. E. (2003): “Introduction to Evolutionary Computing”, Springer.
Etebari F., A. Aaghaie, F. Khoshalhan (2011), “A Genetic Algorithm for Choice-Based
Network Revenue Management”, Iranian Journal of Operations Research Vol. 3, No. 1,
pp. 89-103
Feng, Y., G. Gallego. (1995), “Optimal Starting Times for End-of-Season Sales and
Optimal Stopping Times for Promotional Fares”, Mgmnt. Sci. 41, 1371-1391.
Feng, Y., G. Gallego. (2000), “Perishable Asset Revenue Management with Markovian
Time Dependent Demand Intensities”, Mgmnt. Sci. 46, 941956.
Feng, Y., Lin, P., and Xiao, B. (2002), “An analysis of airline seat control with
cancellations”, In Yao,D. D. and H. Zhang, X. Y. Z., editors, Stochastic Modeling and
Optimization, with Applications in Queues, Finance, and Supply Chains. Springer-
Verlag, Berlin.
Fogel, D. (1995), " Evolutionary Computation”, IEEE Press.
Gabor Forgacs (2010), “Revenue Management: Maximizing revenue in Hospitality
Operations”.
Gabriel Bitran and Rene Caldentey (2002), “An Overview of Pricing Models for Revenue
Management”, December.
Gallego, G., G. van Ryzin G. (1994), “Optimal Dynamic Pricing of inventories with
Stochastic Demand over Finite Horizons”, Mgmnt. Sci. 40, 999-1020.
Ganji Alireza Inanlou and Shavandi Hassan (2013), “Genetic algorithms for Uncertain
Pricing-Inventory Models with Multiple Interdependent Products”, International Journal
of Mining, Metallurgy & Mechanical Engineering (IJMMME) Volume 1, Issue 1 , ISSN
2320–4060 (Online)
Gen, Mitsuo, (1996), “Genetic algorithms and engineering design", Wiley-IEEE, ISBN
0471127418.
George Aloysius, Rajakumar B.R., Binu D. (2012), “Genetic Algorithm Based Airlines
Booking Terminal Open/ Close Decision System”, ICACCI’12, August 3-5, Chennai, T
Nadu, India.
Bibliography Page 226
Ger Koole (2010), “Optimization of Business Processes: An introduction to Applied
Stochastic Modeling”, VU University Amsterdam, version of March .
Goldberg D.E. (1989), “Genetic Algorithms in Search, Optimization, and Machine
Learning”, Addison-Wesley, Reading, Massachusetts.
Goldberg, D. E. (2002), “Design of Innovation: Lessons From and For Competent
Genetic Algorithms”, Kluwer, Boston, MA.
Goldstein, J.M. (1991), “Genetic Algorithm Simulation of the SHOP Scheduling
Problem”, An ICMS/Shell Oil Business Consultancy.
Gosavi, A. (2007), “Simulation Optimization for Revenue Management of Airlines with
Cancellations and Overbooking”, OR Spectrum, Vol.29, pp 21-38.
Hansen C.N. and K. Eringa (1998), “Critical Success factors in Yield Management: a
Development and Analysis”, Progress in Tourism and Hospitality Research 4, 229-244 .
Haupt, R. L., and Haupt S.E. (1998), “ Practical Genetic Algorithms”, John Wiley &
Sons, Inc. New York, NY.
Holland J.H. (1975), “Adaptation in Natural and Artificial Systems”, University of
Michigan Press, Ann Arbor, Michigan; re-issued by MIT Press (1992).
Hu X-B. Di Paolo E. (2007), “An efficient genetic algorithm with uniform crossover for
air traffic contro”,. Computers and Operations Research.
Huh, W. T. and Rusmevichientong, P. (2006), “Adaptive capacity allocation with
censored demand data: Application of concave umbrella functions”, Technical report,
Cornell University, School of Operations Research and Information Engineering, Ithaca,
USA.
Ingold Anthony, Una McMahon-Beattie and Ian Yeoman (2000), “Yield Management
strategies for the service industries”, second edition , Continuum Books
Ideas (2005), “ The basics of Revenue Management”, Integrated Decisions and Systems,
Inc.
Inkpen, G. (1998), “Information Technology for Travel and Tourism”, UK: Addison
Wesley Longman.
James D. Dana (1999), “Jr., Using yield management to shift demand when the peak time
is unknown”, RAND Journal of Economics Vol. 30, No. 3, Autumn , pp. 456–474
Bibliography Page 227
Jauncey, S., I. Mitchell, P. Slamet. (1995), “The Meaning and Management of Yield in
Hotels”, International Journal of Contemporary Hospitality Management, Vol. 7, No. 4,
pp23-26
Jeng Chi-Ruey (2012), “Real-time decision support for airline schedule disruption
management”, African Journal of Business Management Vol.6 (27), pp. 8071-8079, 11
July, Available online at http://www.academicjournals.org/AJBM DOI:
10.5897/AJBM11.2529 ISSN 1993-8233 ©2012 Academic Journals
Jerath, Kinshuk, Serguei Netessine and Senthil Kumar eeraraghavan (2010), “Revenue
Management with Strategic Customers: Last-Minute Selling and Opaque
Selling”, Management Science, 56 (3), 430-448.
Jonathan A. Hales (2009),” Accounting and Financial Analysis in the Hospitality
Industry”.
Jones, P. and Hamilton, D, (1992), “Yield Management: Putting People in Big Picture”,
Cornell Hotel and Restaurant Administration Quarterly, February, pp 89-96.
Jones, C. and Val, P. (1993), “Accommodation Management”, UK: Redwood Books.
Karaesmen, I. and van Ryzin, G. J. (2004), “Overbooking with substitutable inventory
classes”, Operations Research, 52:83–104.
Karova Milena, Petkova Julka, Smarkov Vassil (2008), “ A Genetic Algorithm for Project
Planning Problem”, International Scientific Conference Computer Science.
Kaul, Sanjay (2009), “Yield Management: Getting More Out Of What You Already
Have”, Ericsson Business Review, No. 2: 17–19
Kalyan T. Talluri and Garrett J. van Ryzin (2004), “The theory and practice of Revenue
Management”, Kluwer Academic Publishers
Kalyan T. Talluri, Garrett J. van Ryzin, Itir Z. Karaesman, Gustavo J. Vulcano (2009),
“Revenue Management: Models and Methods”, Proceedings of the Winter Simulation
Coference, IEEE.
Karaesmen, I. and van Ryzin, G. J. (2004), “Overbooking with substitutable inventory
classes”, Operations Research, 52:83–104.
Kasilingam R.G. (1996), “Air cargo revenue management: Characteristics and
complexities”, European Journal of Operational Research 96, 36-44.
Bibliography Page 228
Kenneth A. (2006) , “ De Jong, Evolutionary Computation, A Unified Approach”, PHI.
Kershenbaum (1997) , "When genetic algorithms work best”, INFORMS J. Comput, vol.
9, no. 3, pp. 254–255.
Kim, J.-L. (2010), “ Examining the Relationship Between Algorithm Stopping Criteria
and Performance Using Elitist Genetic Algorithm”,Proceedings of the 2010 Winter
Simulation Conference, 3220-3227
Kimberley A. Tranter, Trevor Stuart-Hill, Juston Parker (2010), “An introduction to
Revenue Management For The Hospitality Industry: Principles and Practices For The
Real World”.
Kimes, S. (2000), “A Strategic Approach to Yield Management”, London: Continuum
Books.
Kimes, Sheryl E. (1989), “The basics of Yield Management”, Cornell Hotel and
Restaurant Administration Quarterly, November.
Kimes, S.E. (2000), “Revenue Management on the Links”, The Cornell Hotel and
Restaurant Administration Quarterly: 120-127
Kimes, Sheryl E and Chase Richard B. (1998), “The Strategic Levers of Yield
Management”, Journal of service research, November ,Vol 1 No 2 pp 156-166.
Kimes, Sheryl E. (2002), “Perceived Fairness of Yield Management”, Cornell Hotel and
Restaurant Administration Quarterly, February, [First published in: Cornell Hotel and
Restaurant Administration Quarterly, February 1994, Vol 35 No 1 pp 22-29]
Kleywegt, A.J. and Papastavrou, J.D. (1998), “The Dynamic and Stochastic Knapsack
Problem”, Operations Research, 46, 17-35.
Kleywegt, A.J. and Papastavrou, J.D. (2001), “The Dynamic and Stochastic Knapsack
Problem with Random Sized Items”, Operations Research, 49, 26-41.
Kotas, R. (1986), “Management Accounting for Hotels and Restaurants”, London:
Surrey University Press.
Kunnumkal, S. and Topaloglu, H. (2009), “A stochastic approximation method for the
single-leg revenue management problem with discrete demand distributions”,
Mathematical Methods of Operations Research, 70:477–504.
Kureichick V., A.N.Melikhov, V.V.Miaghick, O.V.Savelev and A.P.Topchy (1996),
“Some New Features in the Genetic Solution of the Traveling Salesman Problem”. In Ian
Bibliography Page 229
Parmee and M.J.Denham eds. Adaptive Computing in Engineering Design and Control
(ACEDC'96), 2nd International Conference of the Integration of Genetic Algorithms and
Neural Network Computing and Related Adaptive Computing with Current Engineering
Practice, Plymouth, UK, March .
L. Davis, Ed. (1987), “Genetic Algorithm and Simulated Annealing”, San Mateo, CA:
Morgan Kaufmann.
L. Davis, “Adapting operator probabilities in genetic algorithms”, in Proceedings of the
Third International Conference on Genetic Algorithms,
Lai, K.-K., & Ng, W.-L. (2005), “A stochastic approach to hotel revenue optimization.
Computers & Operations Research”, 32, 1059–1072.
Lan, Y., Ball, M. O., and Karaesmen, I. Z. (2011), “ Regret in overbooking and fare-class
allocation for single leg”, Manufacturing & Service Operations Management, 13(2):194–
208.
Lee, T.C. and Hersh, M. (1993), “A Model for Dynamic Airline Seat Inventory Control
with Multiple Seat Bookings”, Transportation Science, 27, 252-265.
Lee-Ross, D. and Johns, N, (1997), “Yield Management in Hospitality SMEs”,
International Journal of Contemporary Hospitality Management, February, pp. 66-69.
Leung, K.-S. and Liang, Y. (2003), “Adaptive Elitist-Population Based Genetic
Algorithm for Multimodal Function Optimization”, Springer-Verlag Berlin Heidelberg,
GECCO, 1160-1171
Liang, Y. (1999), “Solution to the Continuous Time Dynamic Yield Management Model”,
Transportation Science, 33, 117-123.
Lieberman, W, (1993), “Debunking the Myths of Yield Management”, Cornell Hotel and
Restaurant Administration Quarterly, February, pp. 34- 41.
Lippman, S. A. and Stidham, S. (1977), “Individual versus social optimization in
exponential congestion systems”, Operations Research, 25:233–247.
Littlewood, K. (1972), “Forecasting and Control of Passenger Bookings”, in AGIFORS
Symposium Proc. 12, Nathanya, Israel.
Lockwood, A. and Jones, P. (1990), “Applying value engineering to rooms
management”, International Journal of Contemporary Hospitality Management, Vol.2,
pp. 27-32.
Bibliography Page 230
Louis, S. J. (1993), “Genetic Algorithms as a Viable Computational Tool for Design”,
PhD thesis, Department of Computer Science, Indiana University. Bloomington, IN.
Lozano, M., Herrera, F., Cano, J.R. (2008), “Replacement Strategies to Preserve Useful
Diversity in Steady-State Genetic Algorithms”, Information Sciences, 178, 4421–4433
Luminiţa Nicolescu1, Cristina Galalae and Alexandru Voicu (2013), “Solving A Supply
Chain Management Problem To Near Optimality Using Ant Colony Optimization”, In An
International Context, Amfiteatru Economic, Vol. XV , No. 33.
Marek Obitko (1998), “ Intoduction to Genetic Algorithm’, A Tutorial
Marmorstein, H., Rossomme, J. and Sarel, D. (2003), “Unleashing the Power of Yield
Management in the Internet Era: Opportunities and Challenges”, California
Management Review, Vol. 45, Issue 3. pp. 147- 167.
Marta Treszl, “Yield Management”, B.Sc. Thesis, Dept. of OR, Budapest
Martin C. Maxwell (2009), “Crop Yield Prediction Using Artificial Neural Networks and
Genetic Algorithms”, Thesis, The University Of Georgia, Master Of Science, Athens,
Georgia.
Mauri Aurelio G. (2007), “Yield Management and perceptions of fairness in the hotel
business”, International Review of Economics, Vol. 54, N. 2
McGill, J. and van Ryzin, G. (1999), “Revenue management: research overview and
prospects”, Transportation Science 33: 233–256.
Metters, R., and Vargas, V. (1999), “Yield Management for Nonprofit Sector”, Journal of
Service Research, 1:215-226.
Michalewicz, Z. (1996), “Genetic Algorithms + Data Structures = Evolution Programs”,
Springer-Verlag, Berlin.
Miguel Rocha and Jose Neves, “Preventing Premature Convergence to Local Optima in
Genetic Algorithms via Random Offspring Generation”.
Morrison, A. J. (1999), “Marketing Hotel Accommodation”, In Constantinos, S. and
Wood, R.C. (Eds.), Accommodation Management Perspectives from the International
Hotel Industry. UK: International Thomson Business Press.
Bibliography Page 231
Nair, S.K., Bapna R., and Brine, I. (1997), ‘An Application of Yield Management for
Internet Service Providers”, Working Paper, Department of Operations and Information
Management, School of Business Administration, University of Connecticut, Storrs, CT.
Netessine, S. and R. Shumsky (2002), “Introduction to the Theory and Practice of Yield
Management”, INFORMS Transactions on Education, Vol. 3, No. 1
Nitin S. Choubey (2012), “Solving TSP using DARO”, International Journal of Computer
Applications (0975 – 8887) Volume 58– No.9, November.
Noone, B., Kimes, S. and Renaghan, L. (2003), “Integrating Customer Relationship
Management and Revenue Management: a Hotel Perspective”, Journal of Revenue and
Pricing management. Vol. 2, No. 1. pp. 7-21.
Paschalidis, I.C. and Tsitiklis, J.N. (1998), “Congestion Dependent Pricing of Network
Services”, Working Paper, Department of Manufacturing Engineering, Boston
University, Boston,MA.
Peterson, Lucy (2005). “Yield Management: International Rental”, September
Phillips Robert L. (2005), “Pricing and Revenu optimization”, Stanford University Press,
Stanford, California
Pizam, A. and Ellis, T. (1999), “Customer Satisfaction and its Measurement in
Hospitality Enterprises”, International Journal of Contemporary Hospitality
Management, Volume 11 Number 7, pp. 326-339.
Pompeo L. and T. Sapountzis (2002), “Freight Expectation”, The McKinsey Quarterly 2.
Pulugurtha Srinivas S. & Nambisan Shashi S. (2003), “A decision-Support Tool for
Ailrline Yiled Management Using Genetic Algorithm”, Computer Aided civil and
Infrastructure Engineering , 214-223
Püschel, Tim, Arun Anandasivam, Stefan Buschek, Neumann, Dirk, “ Making Money
with Clouds: Revenue Optimization Through Automated Policy Decisions”, 17th
European Conference on Information Systems
R.S. Kadadevaramath, P.S.S. Prasad, K.M. Mohanasundaram, E.A. Immanuel, K.
Rameshkumar (2009), “Profit optimisation in three echelon supply chain revenue
management through new heuristic optimiser”, Inderscience Enterprises Ltd, Int. J. of
Revenue Management, Vol 3, Issue 1 Pages: 79-101
Bibliography Page 232
Reza Alaei, Farhad Ghassemi-Tari (2011), “Development of a Genetic Algorithm for
Advertising Time Allocation Problems”, Journal of Industrial and Systems Engineering,
Vol. 4, No. 4, pp 245-255 Winter .
Robert L. Phillips (2005), “Pricing and Revenu optimization”, Stanford University
Press, Stanford, California .
Rothstein, M. (1971), “An airline overbooking mode”, Transportation Science, 5:180–
192.
Rothstein, M. (1985), “OR and the airline overbooking problem”, Operations Research,
33:237–248.
Saranathan K., K. Peters and M. Towns (1999), “ Revenue Management at United
Airlines”, presented in AGIFORS Reservations and Yield Management Study Group,
London.
Sarma, J. and De Jong K. (1997),” Generation gap methods”, In Back,T., D.B.Fogel and
Z.Michalewicz (Eds.) Handbook of Evolutionary Computation, pp C2.7:1–C2.7:5.
Sastry, K., Goldberg, D.E., Kendall, G. (2005), “Introductory Tutorials in Optimization,
Search and Decision Support Methodologies’, Berlin: Springer.
Sevinç Gökşen (2011), “Implementing Revenue Management”, BMI – Paper, July.
Shengxiang Yang (2007), “Genetic Algorithms with Elitism-Based Immigrants for
Changing Optimization Problems”, EvoWorkshops , LNCS 4448, pp. 627–636,
Springer.
Siddiqui M., A. Villazon, and T. Fahringer (2006), “Grid capacity planning with
negotiation-based advance reservation for optimized QoS”, In Proc. of the 2006
ACM/IEEE conference on Supercomputing (SC'06), Florida, USA, Nov.
Siguaw, J., Kimes, S, and Gassenheimer, J. (2001), “B2B Sales Force Productivity:
Applications of Revenue Management Strategies to Sales Management”, Industrial
Marketing Management, No. 32. pp. 539- 551.
Sivanandam, S.N. and S.N. Deepa (2008) , “Introduction to Genetic Algorithms”,
Springer Berlin Heidelberg New York.
Smith B.C., J.F. Leimkuhler and R.M. Darrow (1992), “Yield Management At American
Airlines”, Interfaces 22, 8-31.
Bibliography Page 233
Smyck, Darek (2011), “ Applying Yield Management in the Mobile Broadband Market”.
Sokolowski, J.A., Banks, C.M. (2009), “Principles of Modeling and Simulation”,
Hoboken, NJ: Wiley. p. 6.ISBN 978-0-470-28943-3.
Starkweather, T., McDaniel S., Mathias K., Whitley D. and Whitley C., (1991), “ A
comparison of genetic sequencing operators”, In R.Belew and L. Booker (Eds.)
Proceedings of the Fourth International Conference on Genetic Algorithms, San Mateo,
CA, Morgan Kaufmann, pp 69–76.
Stephen Shaw (2004), “Airline marketing and Management”, fifth edition, Ashgate
publishing Limited.
Subramanian, J., Stidham, S., and Lautenbacher, C. (1999), “Airline yield management
with overbooking, cancellations, and no-shows”, Transportation Science, 33:147–167.
Sulistio, K. H. Kim, and R. Buyya (2007), “On Incorporating an On-line Strip Packing
Algorithm into Elastic Grid Reservation-based Systems”, In Proc. of the 13th Intl.
Conference on Parallel and Distributed Systems (ICPADS), Hsinchu, Taiwan, Dec. 5.7 a.
Talluri, K.T. (2004), “The Theory and Practice of Revenue Management”, (with G. van
Ryzin). Kluwer Academic Publishers,June.
Taub, H. and Schilling D.L. (1986), “Principles of Communication Systems”, New York:
McGraw-Hill.
Thomas W. (2007), “Global Optimization Algorithms – Theory and Application”.
Thompson, H. R. (1961),” Statistical problems in airline reservation control”,
Operational Research Quarterly, 12:167–185.
Trevor Stuart-Hill, “Revenue Management: An Overview on Past, Present and Future”,
HBR Warren H. Lieberman, Debunking the myths of yield management.
Unternehmen and Markte (1992) “Unternehmen and Markte in Handelsblatt”, 12 April
1992, p. 13.
Van Ryzin, G. J. and McGill, J. I. (2000), “Revenue management without forecasting or
optimization: An adaptive algorithm for determining airline seat protection levels”,
Management Science, 46:760–775.
Van Slyke, R. and Young, Y. (2000), “Finite Horizon Stochastic Knapsacks with
Applications to Yield Management”, Operations Research, 48, 155-172.
Bibliography Page 234
Verginis, C.S. (1999), “Front Office Management”, In Constantinos, S. and Wood, R.C.
(Eds.) . Accommodation Management Perspectives from the International Hotel Industry.
UK: International Thomson Business Press.
VijayLakshmi, K. and Radhakrishnan, S. (2007), “Hybrid genetic algorithm for dynamic
QoS Routing for Real Time Applications”, Proceedings of International Conference on
Intelligent Systems and Networks (IISN), pp 203-209.
Vinod, B. (2004), “Unlocking the Value of Revenue Management in the Hotel Industry”,
Journal of Revenue and Pricing Management, Vol. 3, No. 2, pp. 178-190.
Whitley D. (1994), “A Genetic Algorithm Tutorial”, Statistics and Computing (4):65-85.
Williamson, E.L. (1992), “Airline Network Seat Inventory Control: Methodologies and
Revenue Impacts”, Ph.D. thesis, Flight Transportation Laboratory, Massachusetts
Institute of Technology, Cambridge, MA.
Wollmer, R.D. (1992), “An Airline Seat Management Model for a Single Leg Route when
Lower Fare Classes Book First”, Operations Research, 40, 26-37.
Writs, J., Kimes, S., Ho Phuong Thing, J. and Patterson P. (2003), “Revenue
Management: Resolving Potential Customer Conflicts”, Journal of Revenue and Pricing
Management, Vol. 2, No. 3, pp. 216-226.
Zeithaml, V.A. and Bitner, M.J. (2003), “Services Marketing. Integrating Customer
Focus Across the Firm”, New York: McGraw-Hill.
http://en.wikipedia.org/wiki/Uniform_distribution_(continuous)
http://en.wikipedia.org/wiki/Normal_distribution
http://en.wikipedia.org/wiki/Beta_distribution