Structured particle swarm optimization and its application to control designs

Amuro Araki, Joe Imae, Tomoaki Kobayashi, Guisheng Zhai

Research output: Contribution to conferencePaperpeer-review

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
Pages775-778
Number of pages4
Publication statusPublished - 2005 Dec 1
Externally publishedYes
EventSICE Annual Conference 2005 - Okayama, Japan
Duration: 2005 Aug 82005 Aug 10

Conference

ConferenceSICE Annual Conference 2005
CountryJapan
CityOkayama
Period05/8/805/8/10

Keywords

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

ASJC Scopus subject areas

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

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