Title :
Parallel genetic algorithm used fuzzy adaptive search method
Author :
Maeda, Yoichiro ; Tsubouchi, Toru
Author_Institution :
Fukui Univ., Japan
Abstract :
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.
Keywords :
adaptive systems; fuzzy set theory; genetic algorithms; parallel algorithms; search problems; Rastrigin function; fuzzy adaptive search method; genetic parameters; parallel genetic algorithm;
Conference_Titel :
SICE 2003 Annual Conference
Conference_Location :
Fukui, Japan
Print_ISBN :
0-7803-8352-4
