Structured particle swarm optimization and its application to control designs

Amuro Araki, Joe Imae, Tomoaki Kobayashi, Guisheng Zhai

研究成果: Paper

抜粋

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.

元の言語English
ページ775-778
ページ数4
出版物ステータスPublished - 2005 12 1
外部発表Yes
イベントSICE Annual Conference 2005 - Okayama, Japan
継続期間: 2005 8 82005 8 10

Conference

ConferenceSICE Annual Conference 2005
Japan
Okayama
期間05/8/805/8/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • これを引用

    Araki, A., Imae, J., Kobayashi, T., & Zhai, G. (2005). Structured particle swarm optimization and its application to control designs. 775-778. 論文発表場所 SICE Annual Conference 2005, Okayama, Japan.