DocumentCode
1738509
Title
Improved distributed genetic algorithm with cooperative-competitive genetic operators
Author
Aguirre, Hernán E. ; Tanaka, Kiyoshi ; Sugimura, Tatsuo ; Oshita, Shinjiro
Author_Institution
Fac. of Eng., Shinshu Univ., Nagano, Japan
Volume
5
fYear
2000
fDate
2000
Firstpage
3816
Abstract
We have presented an empirical model of genetic algorithms (GA) that puts parallel genetic operators in a cooperative-competitive stand with each other. An improved GA (GA-SRM) based on this model remarkably improves the search performance of a single population GA. We extend GA-SRM to distributed GAs in order to improve the performance of multiple population GAs. Simulation results verify that the parallel genetic operators in GA-SRM, CM and SRM, can successfully contribute to improve the search performance of distributed GAs
Keywords
genetic algorithms; parallel algorithms; GA-SRM; cooperative-competitive genetic operators; distributed genetic algorithm; empirical model; multiple population GA; parallel genetic operators; search performance; Computational modeling; Concurrent computing; Frequency; Genetic algorithms; Genetic engineering; Genetic mutations; Hardware; Master-slave;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location
Nashville, TN
ISSN
1062-922X
Print_ISBN
0-7803-6583-6
Type
conf
DOI
10.1109/ICSMC.2000.886605
Filename
886605
Link To Document