Structured particle swarm optimization and its application to control designs

Amuro Araki, Joe Imae, Tomoaki Kobayashi, Guisheng Zhai

研究成果: Paper査読

抄録

Particle Swarm Optimization (PSO) is one of the population-based stochastic computational techniques, inspired by the bird flocking, fish schooling and swarming behavior. However, PSO is "non-structural" and, as far as the control design is concerned, it would be desirable to give the structure property to PSO. In this paper we propose a new type of population-based technique, which is given the structure of trees. That is why we call it "structured PSO". We also demonstrate by simulations that such a technique is applicable to standard control problems such as the Van der Pol problem, the singular control problem, and so on.

本文言語English
ページ775-778
ページ数4
出版ステータスPublished - 2005 12 1
外部発表はい
イベントSICE Annual Conference 2005 - Okayama, Japan
継続期間: 2005 8 82005 8 10

Conference

ConferenceSICE Annual Conference 2005
国/地域Japan
CityOkayama
Period05/8/805/8/10

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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