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
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;
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
DOI :
10.1109/CIRA.1997.613873
