Solving constrained optimization problem by a specific-design multiobjective genetic algorithm

Proceedings - 5th International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2003

Volumn , Issue , 2003, Pages 200-205

  Liu, Hai Lin ^a   Wang, Yu Ping ^b  

^a GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

^b XIDIAN UNIVERSITY   (China)

Author keywords

Computational intelligence; Constraint optimization; Evolutionary computation; Genetic algorithms; Mathematics; Numerical simulation; Pareto optimization; Space exploration; Space technology; Testing

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; CONSTRAINED OPTIMIZATION; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; MATHEMATICAL TECHNIQUES; NUMERICAL MODELS; OPTIMIZATION; PARETO PRINCIPLE; PROBLEM SOLVING; SPACE RESEARCH; TESTING;

CONSTRAINED OPTIMI-ZATION PROBLEMS; CONSTRAINT OPTIMIZATIONS; INFEASIBLE SOLUTIONS; MULTI-OBJECTIVE GENETIC ALGORITHM; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; PARETO OPTIMIZATION; SPACE EXPLORATIONS; SPACE TECHNOLOGIES;

MULTIOBJECTIVE OPTIMIZATION;

EID: 72949103494     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIMA.2003.1238125     Document Type: Conference Paper

References (14)

1. Z. Michalewicz and M Schoenauer, "Evolutionary algorithms for constrained parameter optimization problems", Evolutionary Computation, 1996, 4(1), pp.1-32.
2. J-H. Kim & H Myung., "Evolutionary programming techniques for constrained optimization problems", IEEE Transactions on evolutionary computation, 1997, 1(2), pp. 129-140.
3. V. Petridis, P. Kazarlis, and A. Bakirtzis, "Varying Fitness Functions in Genetic Algorithm Constrained Optimization: The Cutting Stock and Unit Commitment Problems", IEEE Transactions on Syst. Man, Cybern.B, 1998, 28(5), pp. 629-640.
4. R.A. Alvaro, L. Araujo etc., "A Hybrid Evolutionary Approach for Solving Constrained Optimization Problems over Finite Domains", IEEE Trans. Evol. Comput., 2000, 4(4), pp. 353-372.
5. K. Deb & S.A.grawal, "A niched-penalty approach for constraint handling in genetic algorithms", Artificial Neural Nets and Genetic Algorithms, Proc. of the Inter. Conf. In Portoroz Slovenia, 1999, Andrej, Dobnikar et al (Eds), Springer-Verlag, Wien, New York, 1999, pp. 235-243.
6. P.D. Surry, N.J. Radcliffe, and I.D. Boyd, "A Multi-objective approach to constrained optimization of gas supply networks: the COMOGA method", In Terence C. Fogarty editor, Evolutionary Computing, AISB Workshop, Selected Papers, Lecture Notes in Computer Science, Springer-Verlag, Sheffield. U.K.,1995, pp. 166-180.
7. P.D. Surry and N.J. Radcliffe, "The COMOGA method: constrained optimization by multi-objective genetic algorithms", Control and Cybernetics. 26(3), 1997.
8. J. D. Schaffer, "Multiple objective optimization with vector evaluated genetic algorithms", In J.J. Grefenstette Ed., Proceedings of the First International Conference on Genetic Algorithms, Lawrence Earlbaum Associates, Hilladale, NJ, 1985, pp. 93-100.
9. st Int. Conf. Genetic Algorithms, 1993, pp. 416-423.
10. rd Nordic Workshop on Genetic Algorithms and Their Applications (3NWGA), Vaasa. Finland. August 1997, University of Vaasa, pp. 49-62.
11. Carlos A. Coello. Coello. Treating constraints as objectives for single-objective evolutionary optimization. Engineering Optimization, 2000, 32(3), pp. 275-308.
12. Y. W. Leung and Y. P. Wang, "Multiobjective programming using uniform design and genetic algorithm", IEEE Transactions on Syst. Man, Cybern. C, 2000, 30 (3), pp. 293-304.
13. th Annu. Conf. Evolutionary Programming,J.R.McDonnell, R.G. Reynolds, and D.B. Fogel, Eds. Cambridge, MA: MIT Press, 1995, pp. 449-463.
14. th International Conf. Genetic Algorithms, Urbana, IL, 1993, pp. 424-430.