DocumentCode
1711806
Title
Genetic algorithm for fuzzy clustering
Author
Zhao, Linhu ; Tsujimura, Yasuhiro ; Gen, Mitsuo
Author_Institution
Dept. of Ind. & Syst. Eng., Ashikaga Inst. of Technol., Japan
fYear
1996
Firstpage
716
Lastpage
719
Abstract
We present a genetic algorithm for fuzzy clustering. The initialization procedure and the genetic operators (such as selection, crossover and mutation) are carefully created, and the efficiency of the proposed algorithm is demonstrated by two numerical examples: one is the butterfly and the other is the manufacturing cell formation problem. The genetic algorithm for fuzzy clustering is coded in Turbo C and the computer used is an NEC PC-9801
Keywords
flexible manufacturing systems; fuzzy set theory; genetic algorithms; manufacture; mathematics computing; pattern recognition; NEC PC-9801; Turbo C; algorithm efficiency; butterfly; cellular manufacturing; crossover operator; fuzzy clustering; genetic algorithm; genetic operators; group technology; initialization procedure; manufacturing cell formation; mutation operator; selection operator; Clustering algorithms; Clustering methods; Fuzzy systems; Genetic algorithms; Genetic engineering; Genetic mutations; Intelligent systems; Laboratories; Manufacturing; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location
Nagoya
Print_ISBN
0-7803-2902-3
Type
conf
DOI
10.1109/ICEC.1996.542690
Filename
542690
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