DocumentCode
575533
Title
Proposal of fuzzy evolutionary algorithms with fuzzy-valued genotypes
Author
Okada, Hidehiko
Author_Institution
Dept. of Comput. Sci. & Technol., Kyoto Sangyo Univ., Kyoto, Japan
fYear
2012
fDate
20-23 Aug. 2012
Firstpage
1538
Lastpage
1541
Abstract
This paper proposes EAs that utilize fuzzy values directly as the genotype values. In the proposed method, each element in a genotype is a fuzzy value. The author extends EA operations for the fuzzy-valued genotypes. Section 2 describes the extensions of EA operations including population initialization, fitness evaluation, and reproduction. The fitness evaluation methods are extended according to application problems, and the reproduction methods are extended according to EA variations.
Keywords
evolutionary computation; fuzzy set theory; EA variations; fitness evaluation methods; fuzzy evolutionary algorithms; fuzzy-valued genotypes; population initialization; reproduction methods; Fuzzy neural networks; Genetic algorithms; Neural networks; Optimization; Sociology; Statistics; Vectors; Evolutionary algorithms; chromosome; evolutionary operations; function optimization; fuzzy;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location
Akita
ISSN
pending
Print_ISBN
978-1-4673-2259-1
Type
conf
Filename
6318695
Link To Document