Effect of local search on the performance of cellular multiobjective genetic algorithms for designing fuzzy rule-based classification systems

Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002

Volumn 1, Issue , 2002, Pages 663-668

  Murata, Tadahiko ^a   Nozawa, Hiroyuki ^b   Tsujimura, Yasuhiro ^c   Gen, Mitsuo ^b   Ishibuchi, Hisao ^d  

^a KANSAI UNIVERSITY   (Japan)

^b ASHIKAGA INSTITUTE OF TECHNOLOGY   (Japan)

^c NIPPON INSTITUTE OF TECHNOLOGY   (Japan)

^d Osaka Prefecture University   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY RULES;

FUZZY RULE BASED CLASSIFICATION SYSTEMS; GENETIC SEARCH; LOCAL SEARCH; MULTI-OBJECTIVE GENETIC ALGORITHM; NONDOMINATED SOLUTIONS;

GENETIC ALGORITHMS;

EID: 34547326409     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2002.1007005     Document Type: Conference Paper

References (17)

1. J.D. Schaffer, "Multi-objective optimization with vector evaluated genetic algorithms," Proc. of 1st International Conference on Genetic Algorithms and Their Applications, pp. 93-100(1985).
2. C.A. Coello Coello, "A comprehensible survey of evolutionary-based multi-objective optimization techniques," Knowledge and Information Systems, vol. 1, no. 3, pp. 269-308 (1999).
3. D.A. Van Veldhuizen and G.B. Lamont, "Multi-objective evolutionary algorithms: Analyzing the state-of-art," Evolutionary Computation, vol. 8, no. 2, pp. 125-147 (2000).
4. T. Murata, M. Gen, "Cellular genetic algorithm for multi-objective optimization," Proc. of The Fourth Asian Fuzzy System Symposium, pp. 538-542 (2000).
5. T. Murata, H. Ishibuchi, M. Gen, "Specification of genetic search directions in cellular multi-objective genetic algorithms," Proc. of First International Conference on Evolutionary multi-criterion optimization, pp. 82-95 (2001).
6. T. Murata, H. Ishibuchi, M. Gen, "Cellular genetic local search for multi-objective optimization," Proc. of The Genetic and Evolutionary Computation Conference 2000, pp. 307-314(2000).
7. H. Ishibuchi, T. Murata, "A multi-objective genetic local search algorithm and its application to flowshop scheduling," IEEE Transaction on Systems, Man, and Cybernetics, Part C, vol. 28,no.3,pp.392-403 (1998).
8. H. Ishibuchi, T. Yoshida, T. Murata, "Selection of initial solutions for local search in multiobjective genetic local search," Proc. of 2002 Congress on Evolutionary Computation, in this proceedings.
9. D. Whitley, "Cellular genetic algorithms," Proc. of 5th International Conference on Genetic Algorithms, p.658 (1993).
10. B. Manderick, P. Spiessens, "Fine-grained parallel genetic algorithms," Proc. of 3rd International Conference on Genetic Algorithms, pp. 428-433 (1989).
11. T. Murata, H. Ishibuchi, "MOGA: Multi-objective genetic algorithms," Proc. of The 2nd IEEE International Conference on Evolutionary Computing, pp. 289-294 (1995).
12. H Ishibuchi, K. Nozaki, H. Tanaka, "Distributed representation of fuzzy rules and its application to pattern classification," Fuzzy Sets and Systems, vol. 52, pp. 21-32 (1992).
13. D. Hammerstrom, "Neural networks at work," IEEE Spectrum, June, pp. 26-32 (1993).
14. D. Hammerstrom, "Working with neural networks," IEEE Spectrum, July, pp. 46-53 (1993).
15. J.R. Quinlan, "Introduction of decision trees," Machine Learning, vol. 1, pp. 71-99 (1985).
16. U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, "Knowledge discovery and data mining: Towards a unifying framework," Proc. of 2nd International Conference on Knowledge Discovery and Data Mining, 82-88 (1996).
17. H. Ishibuchi, T. Yamamoto, and T. Nakashima, "Fuzzy data mining: Effect of fuzzy discretization," Proc. of 1st IEEE International Conference on Data Mining, pp. 241-248 (2001).