DocumentCode
1667036
Title
Effect of local search on the performance of cellular multiobjective genetic algorithms for designing fuzzy rule-based classification systems
Author
Murata, Tadahiko ; Nozawa, Hiroyuki ; Tsujimura, Yasuhiro ; Gen, Mitsuo ; Ishibuchi, Hisao
Author_Institution
Kansai Univ., Osaka, Japan
Volume
1
fYear
2002
Firstpage
663
Lastpage
668
Abstract
We show how local search can be combined with cellular multiobjective genetic algorithms for designing fuzzy rule-based classification systems. For achieving a good balance between the genetic search and local search, a local search is applied to only non-dominated solutions in each generation. Simulation results show the effectiveness of our approach
Keywords
fuzzy set theory; genetic algorithms; knowledge based systems; pattern classification; search problems; cellular genetic algorithms; fuzzy rule-based systems; fuzzy set theory; genetic search; local search; multiobjective optimization; pattern classification; Algorithm design and analysis; Biological cells; Computer simulation; Evolutionary computation; Fuzzy systems; Genetic algorithms; Large-scale systems; Pattern classification; Processor scheduling; Scheduling algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1007005
Filename
1007005
Link To Document