A new genetic algorithm to handle the constrained optimization problem

Proceedings of the IEEE Conference on Decision and Control

Volumn 1, Issue , 2002, Pages 739-740

  Mu, Shengjing ^a   Su, Hongye ^a   Mao, Weijie ^a   Chen, Zhenyi ^a   Chu, Jian ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC STABILITY; CONSTRAINT THEORY; ITERATIVE METHODS; NONLINEAR PROGRAMMING; NUMERICAL METHODS; PROBABILITY;

CONSTRAINED OPTIMIZATION PROBLEM; INFEASIBILITY DEGREE OF A SOLUTION; NONLINEAR PROGRAMMING PROBLEMS;

GENETIC ALGORITHMS;

EID: 0036993440     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Spring-Verlag Berlin Heidelberg, 1996, Chinese Version, 2000.
3. Homaifar, A., Qi, A., and Lai, S., Constrained optimization via genetic algorithm, Simulation, 62(4), 242-254, 1994.
4. Deb, K., An efficient constraint handling method for genetic algorithm, Comput. Methods Appl. Mech. Engrg., 2000, 186, 311-338
5. Michalewicz, Z., N. Attia, Evolutionary optimization of constrained problems, in: A.V. Sebald, L.J. Fogel (Eds.), proceedings of the Third Annual Conference on Evolutionary Programming, World Scientific, Singapore, 1994, pp. 98-108.
6. Tang, J., Wang, D., Ip, A., Fung, RYK, A hybrid Genetic Algorithm for a type of non-linear programming problems. Computers and Mathematics with Applications 1998, 36(5): 11-21.