DocumentCode
3146469
Title
An evolution strategy with competing subpopulations
Author
Izumi, Kiyotaka ; Hashem, M.M.A. ; Watanabe, Keigo
Author_Institution
Dept. of Mech. Eng., Saga Univ., Japan
fYear
1997
fDate
10-11 Jul 1997
Firstpage
306
Lastpage
311
Abstract
Evolution strategies, based on the natural evolution, are the algorithms to solve the parameter optimization problems numerically. In this paper, a new evolution strategy (ES) is proposed to solve optimal control problems. With a view to making a balance between exploration and exploitation, a competing subpopulation based arithmetical crossover technique is proposed. The effectiveness of the proposed ES is illustrated by some simulations for the push-cart (a discrete-time optimal control model) control problem
Keywords
discrete time systems; genetic algorithms; intelligent control; optimal control; arithmetical crossover; competing subpopulations; discrete-time systems; evolution strategy; optimal control; push-cart control; Convergence; Data structures; Electronic switching systems; Genetic algorithms; Genetic mutations; Input variables; Mechanical engineering; Optimal control; Optimization methods; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Robotics and Automation, 1997. CIRA'97., Proceedings., 1997 IEEE International Symposium on
Conference_Location
Monterey, CA
Print_ISBN
0-8186-8138-1
Type
conf
DOI
10.1109/CIRA.1997.613873
Filename
613873
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