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We proposed fuzzy adaptive search method for parallel genetic algorithm (FASPGA) combined fuzzy adaptive search method for genetic algorithm (FASGA) which is able to tune the genetic parameters according to the search stage by fuzzy rule and parallel genetic algorithm (PGA) which is able to obtain high-quality solutions in the evolution. In this paper, we also report simulation results of learning Rastrigin function as comparing GA, PGA and FASPGA.
SICE 2003 Annual Conference (Volume:3 )
Date of Conference: 4-6 Aug. 2003