DocumentCode
416852
Title
Parallel genetic algorithm used fuzzy adaptive search method
Author
Maeda, Yoichiro ; Tsubouchi, Toru
Author_Institution
Fukui Univ., Japan
Volume
3
fYear
2003
fDate
4-6 Aug. 2003
Firstpage
3300
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;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2003 Annual Conference
Conference_Location
Fukui, Japan
Print_ISBN
0-7803-8352-4
Type
conf
Filename
1323917
Link To Document