Evolution strategy with competing subpopulations

Kiyotaka Izumi, M. M.A. Hashem, Keigo Watanabe

Research output: Contribution to conferencePaper

6 Citations (Scopus)

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 sub-population 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.

Original languageEnglish
Pages306-311
Number of pages6
Publication statusPublished - Jan 1 1997
Externally publishedYes
EventProceedings of the 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA - Monterey, CA, USA
Duration: Jul 10 1997Jul 11 1997

Other

OtherProceedings of the 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
CityMonterey, CA, USA
Period7/10/977/11/97

ASJC Scopus subject areas

  • Computational Mathematics

Fingerprint Dive into the research topics of 'Evolution strategy with competing subpopulations'. Together they form a unique fingerprint.

  • Cite this

    Izumi, K., Hashem, M. M. A., & Watanabe, K. (1997). Evolution strategy with competing subpopulations. 306-311. Paper presented at Proceedings of the 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA, Monterey, CA, USA, .