Structured particle swarm optimization and its application to control designs

Amuro Araki, Joe Imae, Tomoaki Kobayashi, Guisheng Zhai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages775-778
Number of pages4
Publication statusPublished - 2005
Externally publishedYes
EventSICE Annual Conference 2005 - Okayama
Duration: 2005 Aug 82005 Aug 10

Other

OtherSICE Annual Conference 2005
CityOkayama
Period05/8/805/8/10

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Keywords

  • Control design
  • Genetic programming
  • Nonlinear systems
  • Particle swarm optimization

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Araki, A., Imae, J., Kobayashi, T., & Zhai, G. (2005). Structured particle swarm optimization and its application to control designs. In Proceedings of the SICE Annual Conference (pp. 775-778)