DocumentCode :
328320
Title :
Fuzzy genetic algorithms for optimization
Author :
Buckley, James J. ; Hayashi, Yoichi
Author_Institution :
Dept. of Math., Alabama Univ., Birmingham, AL, USA
Volume :
1
fYear :
1993
fDate :
25-29 Oct. 1993
Firstpage :
725
Abstract :
In this paper we introduce fuzzy genetic algorithms to solve fuzzy optimization problems. We argue that this technique can produce good approximate solutions by applying it to solve a fuzzy optimization problem.
Keywords :
fuzzy set theory; genetic algorithms; mathematics computing; approximate solutions; fuzzy genetic algorithms; fuzzy optimization; fuzzy set theory; Computer applications; Fuzzy sets; Genetic algorithms; Stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
Type :
conf
DOI :
10.1109/IJCNN.1993.714016
Filename :
714016
Link To Document :
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