BMPGA: A Bi-objective multi-population genetic algorithm for multi-modal function optimization

2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings

Volumn 1, Issue , 2005, Pages 816-823

  Yao, Jie ^a   Kharma, Nawwaf ^a   Grogono, Peter ^a  

^a Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTION EVALUATION; MODAL ANALYSIS; OPTIMIZATION;

FUNCTION OPTIMIZATION; MULTI-MODAL OPTIMIZATION; RECURSIVE MIDDLING (RM);

GENETIC ALGORITHMS;

EID: 27144547150     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Beasley, D., Bull, D. R. and Martin, R. R. A Sequential Niche Technique for Multimodal Function Optimization, Evolutionary Computation, Volume 1, Issue 2, pp. 101-125, 1993.
2. Coello Coello, Carlos A., An updated survey of GA-based multiobjective optimization techniques, ACM Computing Surveys, 32(2): 109-143, 2000.
3. Deb, K. and Goldberg, D. E. An investigation of niche and species formation in genetic function optimization, in Proc. 3rd Int. Conf. Genetic Algorithms, pp. 42-50, 1989.
4. Goldberg, D. E. and Richardson, J. Genetic algorithms with sharing for multimodal function optimization, Proceeding of the 2nd Int. Conference on Genetic Algorithms, J. J. Grefenstette, Ed. Hillsdale, NJ: Lawrence Erlbaum, pp. 41-49, 1987.
5. Hartigan, J., pp. 74-78, Clustering Algorithms, John Wiley, 1975.
6. Holland, J.H., Adaptation in Natural and Artificial Systems, Ann Arbor: The University of Michigan Press, 1975 (2nd ed. MIT Press, 1992).
7. Jong, K.A.D., An analysis of the behavior of a class of genetic adaptive systems, PhD thesis, University of Michigan, 1975.
8. Lung, R. I., A Subpopulation Stability Based Evolutionary Technique for Multimodal Optimization, GECCO 2004.
9. Mahfoud, S. W. Crowding and preselection revisited, Parallel Problem Solving for Nature, 2, pp. 27-36, Elsevier Science, 1992.
10. Miller, B.L. and Shaw, M.J., Genetic Algorithms with dynamic niche sharing for multimodal function optimization, IEEE International Conference on Evolutionary Computation, pp. 786-791, 1996.
11. Osyczka, A., Multicriteria optimization for engineering design, Design Optimization, J. S. Gero, Ed. Academic Press, Inc., New York, NY, pp. 193-227, 1985.
12. Schaffer, J. D., Multiple objective optimization with vector evaluated genetic algorithms, the First International Conference on Genetic Algorithms and Their Applications, Lawrence Erlbaum Associates Inc., Hillsdale, NJ, 93-100. 1985.
13. Smith, R. E., Forrest, S. and Perelson, A. S. Searching for diverse, cooperative populations with genetic algorithms, TCGA Report No. 92002, The University of Alabama, Dept. of Engineering Mechanics, 1992.
14. Streichert, F., Stein, G., Ulmer, H. and Zell, A. A Clustering Based Niching EA for Multimodal Search Spaces, 6th International Conference on Artificial Evolution, pp. 293-304, October 2003.
15. Tsutsui, S. and Fujimoto, Y. Forking genetic algorithm with blocking and shrinking modes (FGA), Proceedings of the 5th International Conference on Genetic Algorithms, pages 206-215, 1993.
16. Ursem, R. K. Multinational evolutionary algorithms, Proceedings of the Congress on Evolutionary Computation, volume 3, pages 1633-1640, 1999.