Title :
Proposal of fuzzy evolutionary algorithms with fuzzy-valued genotypes
Author_Institution :
Dept. of Comput. Sci. & Technol., Kyoto Sangyo Univ., Kyoto, Japan
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;
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
Print_ISBN :
978-1-4673-2259-1
