Proposal of particle swarm optimization methods with nonlinear dissipative term

Hideki Murata, Keiichiro Yasuda, Eitaro Aiyoshi

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Optimization methods based on metaheuristics are proposed as a class of global optimization methods, by which the global minimum can be obtained without being trapped in local minima. Particle swarm optimization (PSO), which is one of these methods, is known for its high searching ability and easy implementation. However, it might be difficult to find the global optimum for optimization problems with a number of decision variables and multiple local optima. In this paper, we propose three types of new PSO methods to overcome this difficulty. One is a model with nonlinear dissipative term introduced by Fujita and colleagues [4] to prohibit the search point's velocity from being zero. The others are models with the nonlinear dissipative term with the pbest or the gbest information to disturb the search around them.

Original languageEnglish
Pages (from-to)23-30
Number of pages8
JournalElectronics and Communications in Japan
Volume91
Issue number2
DOIs
Publication statusPublished - 2008 Feb

Fingerprint

Particle swarm optimization (PSO)
Particle Swarm Optimization
Optimization Methods
proposals
optimization
Global optimization
Term
Global Minimum
Global Optimum
Local Minima
Metaheuristics
Global Optimization
Optimization Problem
Zero
Model
Class

Keywords

  • Dissipative dynamical system
  • Global optimization
  • Particle swarm optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Physics and Astronomy(all)
  • Signal Processing
  • Applied Mathematics

Cite this

Proposal of particle swarm optimization methods with nonlinear dissipative term. / Murata, Hideki; Yasuda, Keiichiro; Aiyoshi, Eitaro.

In: Electronics and Communications in Japan, Vol. 91, No. 2, 02.2008, p. 23-30.

Research output: Contribution to journalArticle

Murata, Hideki ; Yasuda, Keiichiro ; Aiyoshi, Eitaro. / Proposal of particle swarm optimization methods with nonlinear dissipative term. In: Electronics and Communications in Japan. 2008 ; Vol. 91, No. 2. pp. 23-30.
@article{7618e74881c743da9fa48d21327ad0bf,
title = "Proposal of particle swarm optimization methods with nonlinear dissipative term",
abstract = "Optimization methods based on metaheuristics are proposed as a class of global optimization methods, by which the global minimum can be obtained without being trapped in local minima. Particle swarm optimization (PSO), which is one of these methods, is known for its high searching ability and easy implementation. However, it might be difficult to find the global optimum for optimization problems with a number of decision variables and multiple local optima. In this paper, we propose three types of new PSO methods to overcome this difficulty. One is a model with nonlinear dissipative term introduced by Fujita and colleagues [4] to prohibit the search point's velocity from being zero. The others are models with the nonlinear dissipative term with the pbest or the gbest information to disturb the search around them.",
keywords = "Dissipative dynamical system, Global optimization, Particle swarm optimization",
author = "Hideki Murata and Keiichiro Yasuda and Eitaro Aiyoshi",
year = "2008",
month = "2",
doi = "10.1002/ecj.10028",
language = "English",
volume = "91",
pages = "23--30",
journal = "Electronics and Communications in Japan",
issn = "1942-9533",
publisher = "Scripta Technica",
number = "2",

}

TY - JOUR

T1 - Proposal of particle swarm optimization methods with nonlinear dissipative term

AU - Murata, Hideki

AU - Yasuda, Keiichiro

AU - Aiyoshi, Eitaro

PY - 2008/2

Y1 - 2008/2

N2 - Optimization methods based on metaheuristics are proposed as a class of global optimization methods, by which the global minimum can be obtained without being trapped in local minima. Particle swarm optimization (PSO), which is one of these methods, is known for its high searching ability and easy implementation. However, it might be difficult to find the global optimum for optimization problems with a number of decision variables and multiple local optima. In this paper, we propose three types of new PSO methods to overcome this difficulty. One is a model with nonlinear dissipative term introduced by Fujita and colleagues [4] to prohibit the search point's velocity from being zero. The others are models with the nonlinear dissipative term with the pbest or the gbest information to disturb the search around them.

AB - Optimization methods based on metaheuristics are proposed as a class of global optimization methods, by which the global minimum can be obtained without being trapped in local minima. Particle swarm optimization (PSO), which is one of these methods, is known for its high searching ability and easy implementation. However, it might be difficult to find the global optimum for optimization problems with a number of decision variables and multiple local optima. In this paper, we propose three types of new PSO methods to overcome this difficulty. One is a model with nonlinear dissipative term introduced by Fujita and colleagues [4] to prohibit the search point's velocity from being zero. The others are models with the nonlinear dissipative term with the pbest or the gbest information to disturb the search around them.

KW - Dissipative dynamical system

KW - Global optimization

KW - Particle swarm optimization

UR - http://www.scopus.com/inward/record.url?scp=65249112346&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=65249112346&partnerID=8YFLogxK

U2 - 10.1002/ecj.10028

DO - 10.1002/ecj.10028

M3 - Article

AN - SCOPUS:65249112346

VL - 91

SP - 23

EP - 30

JO - Electronics and Communications in Japan

JF - Electronics and Communications in Japan

SN - 1942-9533

IS - 2

ER -