Controlling dynamics of GA through filtered evaluation function

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 866 LNCS, Issue , 1994, Pages 239-248

  Sakanashi, Hidenori ^a   Suzuki, Keiji ^a   Kakazu, Yukinori ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS;

EVALUATION FUNCTION; EXTENDED GA; FUNDAMENTAL RESEARCH; HARD PROBLEMS; OBJECTIVE FUNCTIONS; OPTIMIZERS; SEARCH PERFORMANCE; SEARCH PROCEDURES;

ARTIFICIAL INTELLIGENCE;

EID: 84994306883     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-58484-6_268     Document Type: Conference Paper

References (12)

1. Deb, K., Horn, J. and Goldberg, D. E., Multimodal Deceptive Functions, Complex Systems, vol. 7, no. 2, pp. 131–153, Complex Systems, (1993).
2. Eshelman, L. J., The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination, Foundations of Genetic Algorithms, pp. 265–283, Morgan Kaufmann (1991).
3. Goldberg, D. E. and Richardson, J., Genetic Algorithms with Sharing for Multimodal Function Optimization, Genetic Algorithms and Their Applications: Proceedings of The Second International Conference on Genetic Algorithms, pp. 41–49, Lawrence Erlbaum Associates (1987).
4. Goldberg, D. E., Genetic Algorithms in Search, Optimization and Machine Learning, p.412, Addison-Wesley (1989).
5. Goldberg, D. E., Deb, K. and Horn, J., Massive Multimodality, Deception, and Genetic Algorithms, Parallel Problem Solving from Nature, 2, Proceedings of the Second Conference of Parallel Problem Solving from Nature, pp. 37–45, North-Holland (1992).
6. Grefenstette, J. J., Optimization of Control Parameters for Genetic Algorithms, IEEE tran. on SMC, vol.16, no.1, pp. 122–128 (1986).
7. Hillis, W. D., Co-Evolving Parasites Improve Simulated Evolution as An Optimization Procedure, Emergent Computation, pp. 228–234, The MIT Press (1991).
8. Holland, J. H., Adaptation in Natural and Artificial Systems, University of Michigan Press (1975).
9. Husbands, P. and Mill, F., Simulated Co-Evolution as The Mechanism for Emergent Planning and Scheduling, Proceedings of The Fourth International Conference on Genetic Algorithms, pp. 264–270, Morgan Kaufmann (1991).
10. Kakazu, Y., Sakanashi, H. and Suzuki, K., Adaptive Search Strategy for Genetic Algorithms with Additional Genetic Algorithms, Parallel Problem Solving from Nature, 2, pp.311–320, North-Holland (1992).
11. Mahfoud, S. W., Crowding and preselection revisited, Parallel Problem Solving from Nature, 2, pp. 27–36, North-Holland (1992).
12. Suzuki, K., Sakanashi, H. and Kakazu Y., Iterative Schema Extracting Operation for Genetic Algorithms, Proc. of Australian and New Zealand Conference on Intelligent Information Systems, p. 517–520 (1993).