Structured particle swarm optimization and its application to control designs

Amuro Araki; Joe Imae; Tomoaki Kobayashi; Guisheng Zhai

Structured particle swarm optimization and its application to control designs

Amuro Araki, Joe Imae, Tomoaki Kobayashi, Guisheng Zhai

Research output: Contribution to conference › Paper › peer-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 language	English
Pages	775-778
Number of pages	4
Publication status	Published - 2005
Externally published	Yes
Event	SICE Annual Conference 2005 - Okayama, Japan Duration: 2005 Aug 8 → 2005 Aug 10

Conference

Conference	SICE Annual Conference 2005
Country/Territory	Japan
City	Okayama
Period	05/8/8 → 05/8/10

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

Cite this

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title = "Structured particle swarm optimization and its application to control designs",

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author = "Amuro Araki and Joe Imae and Tomoaki Kobayashi and Guisheng Zhai",

year = "2005",

language = "English",

pages = "775--778",

note = "SICE Annual Conference 2005 ; Conference date: 08-08-2005 Through 10-08-2005",

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TY - CONF

T1 - Structured particle swarm optimization and its application to control designs

AU - Araki, Amuro

AU - Imae, Joe

AU - Kobayashi, Tomoaki

AU - Zhai, Guisheng

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Control design

KW - Genetic programming

KW - Nonlinear systems

KW - Particle swarm optimization

UR - http://www.scopus.com/inward/record.url?scp=33645281176&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33645281176&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:33645281176

SP - 775

EP - 778

T2 - SICE Annual Conference 2005

Y2 - 8 August 2005 through 10 August 2005

ER -

Structured particle swarm optimization and its application to control designs

Abstract

Conference

Keywords

ASJC Scopus subject areas

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