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(94.) Kodali S P, Kudikala R and Deb K, “Multi objective optimization of

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(95.) Afzal Husain , Kwang-Yong Kim , “ Multi objective optimization of a

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(96.) Xintao cui, shuxin wang, S Jackhu, “A method for optimal design of

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materials and design, vol29, issue 2, 2008, pp: 381-387.

(97.) Xing tao Liao, Qing li, Xujing yang, Weigang zhang and Weili, “Multi

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regression model”, Journal of structural and multi disciplinary

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(100.) K.K. Mishra , Brajesh Kumar Singh , Akash Punhani and Lavkush

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furnace using NSGA-II”, proceedings of 2nd national conference on

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(101.) Hiwa Khaledi, Mohammad Bagher Ghofrani and Amir Abbas

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compressor with combination of analytical method, qualitative and

quantitative rules and Genetic Algorithm”, ASME Conference

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(103.) Sang won hong, Hyungmin kang, Saeillee, Sangookjun, Dongho

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congress on structural and multi disciplinary optimization, Portugal,

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space sciences meeting, Florida, January 2009.

(105.) Diab Mokeddem and Abdelhafid Khellaf , “ Optimal solutions of

multi product batch chemical process using multi objective genetic

algorithm with expert decision making”, Journal of automated methods

management in chemistry, march 2009, doi: 10.1155/2009/927426, 9

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computation and mathematics in electrical and electronics engineering”,

Vol 28, issue 5, 2009, pp: 1227-1235.

(107.) Luis felipe Gonzalez, Dong seop lee, Rodney walker and Jacques

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(108.) Shuzhen Hu, Xingen Lu and Hongwu Zhang, “ Numerical

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(109.) E A Ogbonnaya, H U Ugwu and C A N Johnson, “Computer aided

solution to the vibrational effect of instabilities in gas turbine

compressors”, Journal of Engineering, Vol 2, No 8, 2010, pp: 658-664.

(110.) P.V. Rama Krishna and M.Govardhan, “Study of sweep and

induced dihedral effects in sub sonic axial flow compressor passages-

Part II : Detailed study on tip leakage phenomenon”, International

journal of rotary machinery, 2010, 13 pages.

(111.) J L lu, W Chu and K Peng, “ Numerical and experimental research

of stall inception on sub sonic axial flow compressor rotor”, Proceedings

of institution of Mechanical Engineers Part G: Journal of aero space

Engineering, Vol 224, No 9, 2010, pp: 1027-1039.

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(112.) Asish Kumar sharma, Kyung hyun son, Boyong Han and kee sun

sohn, “ Simultaneous optimization of luminance and chromaticity of

phosphors using a NSGA algorithm”, Journal of advanced functional

materials , wiley interscience series, Vol 20 , issue 11, 2010, pp:1750-

1755.

(113.) C Chitra and P Subba raj , “ A NSGA algorithm for shortest path

routing problem”, International journal of computer science, Vol 5 , Issue

1 , 2010, pp:55-63.

(114.) Bingquan Huang, B Buckley and T M Kechadi, “ Multi objective

feature selection by using NSGA-II for customer churn prediction in

telecommunications”, International Journal of expert systems with

applications , Vol 37, Issue 5, 2010, pp:3638-3646.

(115.) Rio G L D’Souza, K Chandra sekaran and A Kanda samy,

“Improved NSGA-II based on a novel ranking scheme”, Journal of

computing, Vol 2, issue 2, 2010, pp: 91-95.

(116.) R Saravanan , S Ramabalan , C Blamurugan and A subash , “

Evolutionary trajectory planning for an industrial robot”, International

journal of automation and computing , Vol7 , issue 2, 2010, pp:190-198.

(117.) Biswajit Purkayastha and Nidul Sinha, “Optimal combined

economic and emission load dispatch using modified NSGA-II with

adaptive crowding distance”, International Journal of information

technology and knowledge management, Vol2, issue2, 2010, pp:553-559.

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(118.) Maocai Wang, Guangming Dai and Hanping Hu, “ Improved NSGA-

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proceedings of the 2010 international conference on machine vision and

human interface, 2010, IEEE Computer society.

(119.) Pietari Pulkkinen and Hannu Koivisto, “ A dynamically constrained

multi objective genetic fuzzy system for regression problems”, IEEE

transactions on fuzzy systems, Vol 18, No 1, 2010, pp:161-177.

(120.) Shibo He, Jiming Chen and Weiqiang Xu, “ A stochastic multi

objective optimization frame work for wireless sensor networks”,

EURASIP Journal on wireless communications and Networking, 2010,

pp: 1 to 10.

(121.) Abolfazl Khalkhali , Mohamadhosein Sadafi , Javad Rezapour and

Hamed Safikhani, “ Pareto based multi objective optimization of solar

thermal energy storage using Genetic Algorithms”, Transactions of

Canadian society of Mechanical Engineering, Vol 34, No 3-4, 2010, pp:

463-474.

(122.) Ajoy kumar Dey, Susmit Saha, Avijit Saha and Shibani Ghosh, “ A

method of genetic algorithm for FIR Filter construction : Design and

development with new approaches in neural network platform”,

International journal of advanced computer science and applications, Vol

1, No 6, 2010, pp: 87-90.

(123.) R. Shafaghat, S.M.Hosseinalipour, I.Lashgai and A.Vahedgermi, “

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using NSGA-II algorithm”, Journal of applied ocean research, Vol 33,

Issue 3, 2010, pp:193-198.

(124.) J Hamel , M Li and S Azarm, “ Design improvement by sensitivity

analysis under interval uncertainity using multi objective optimization”,

ASME journal of Mechanical design, Vol 132, issue 8, 2010.

(125.) Petrovic S , Fayad C and Petrovic D, “ Sensitivity analysis of a

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(126.) Yang Liu and Fan Sun, “ Sensitivity analysis and automatic

calibration of a rainfall runoff model using multiple objectives”, Journal

of ecological informatics, Vol 5, issue 4, 2010, pp: 304-310.

(127.) Saeed Khorram and Mustafa Ergil, “ A sensitivity analysis of total

load prediction parameters in standard sediment transport equations”,

Journal of American water resources association, Vol 46, issue 6, 2010,

pp:1091-1115.

(128.) Tony Dickens and Ivor Day, “The design of highly loaded axial

compressors”, ASME Journal of Turbo machinery, Vol 133, issue3, 2011,

10 pages.

(129.) Tsuguji Nakano and Andy Breeze-Stringfelow, “A method for

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(130.) Sangwon Hong, Saeil lee, Sangook Jun, Dong-Holee, Hyungmin

kang, Young-Seok kang and Soo-Seok yang, “Reliability based design

optimization of axial compressor using uncertainty model for stall

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2011, pp: 731-740.

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