Proposal of fuzzy evolutionary algorithms with fuzzy-valued genotypes
Hidehiko Okada · Society of Instrument and Control Engineers of Japan · 2012
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.