Parallel cooperative-competitive self-adaptive mutation in genetic algorithms

Author

Aguirre, Hernan E. ; Tanaka, Kiyoshi ; Oshita, Shinjiro

Author_Institution

Fac. of Eng., Shinshu Univ., Nagano, Japan

Volume

4

fYear

2001

fDate

2001

Firstpage

2343

Abstract

In previous work we have presented a model of genetic algorithm (GA) that applies varying mutations parallel to standard crossover & mutation putting them in a cooperative-competitive standing with each other (Aguirre et al., 1999). An improved GA based on this model (GA-SRM) using an adaptive mechanism for parallel mutation significantly improves the performance of GAs (Aguirre et al., 2001). Now, we introduce a self-adaptive mechanism within the parallel mutation operator of GA-SRM and show that the model is an appropriate framework to effectively use and develop further self-adaptation within GAs

Keywords

algorithm theory; genetic algorithms; GA-SRM; adaptive mechanism; crossover & mutation; genetic algorithms; mutations; parallel cooperative-competitive genetic operators; parallel cooperative-competitive self-adaptive mutation; parallel mutation; self-adaptation; self-adaptive mechanism; Adaptive control; Evolutionary computation; Genetic algorithms; Genetic engineering; Genetic mutations; Genetic programming; Programmable control; Reflective binary codes; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2001 IEEE International Conference on

Conference_Location

Tucson, AZ

ISSN

1062-922X

Print_ISBN

0-7803-7087-2

Type

conf

DOI

10.1109/ICSMC.2001.972907

Filename

972907