Proposal of particle swarm optimization methods with nonlinear dissipative term

Hideki Murata, Keiichiro Yasuda, Eitaro Aiyoshi

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Optimization methods based on meta-heuristics are proposed as a class of global optimization methods, by which the global minimum can be obtained without trapping in local minima. Particle swarm optimization(PSO), which is one of those methods, is known for its high search ability and easy implement. However, it might be difficult to find the global optimum for optimization problems which have a lot of decision variables and local optima. In this paper, we propose three types of new PSO to clear the weak point. One is a model with the nonlinear dissipative term intoroduced by Fujita, Yasuda and Yokoyama (4) to prohibit the search point's velocity 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
JournalIEEJ Transactions on Electronics, Information and Systems
Volume127
Issue number5
Publication statusPublished - 2007

Fingerprint

Particle swarm optimization (PSO)
Global optimization

Keywords

  • Disspative dynamical system
  • Global optimization
  • Particle swarm optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

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

In: IEEJ Transactions on Electronics, Information and Systems, Vol. 127, No. 5, 2007.

Research output: Contribution to journalArticle

@article{adba562c73644c7e8b0fc3dbf6a1ada6,
title = "Proposal of particle swarm optimization methods with nonlinear dissipative term",
abstract = "Optimization methods based on meta-heuristics are proposed as a class of global optimization methods, by which the global minimum can be obtained without trapping in local minima. Particle swarm optimization(PSO), which is one of those methods, is known for its high search ability and easy implement. However, it might be difficult to find the global optimum for optimization problems which have a lot of decision variables and local optima. In this paper, we propose three types of new PSO to clear the weak point. One is a model with the nonlinear dissipative term intoroduced by Fujita, Yasuda and Yokoyama (4) to prohibit the search point's velocity 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 = "Disspative dynamical system, Global optimization, Particle swarm optimization",
author = "Hideki Murata and Keiichiro Yasuda and Eitaro Aiyoshi",
year = "2007",
language = "English",
volume = "127",
journal = "IEEJ Transactions on Electronics, Information and Systems",
issn = "0385-4221",
publisher = "The Institute of Electrical Engineers of Japan",
number = "5",

}

TY - JOUR

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

AU - Murata, Hideki

AU - Yasuda, Keiichiro

AU - Aiyoshi, Eitaro

PY - 2007

Y1 - 2007

N2 - Optimization methods based on meta-heuristics are proposed as a class of global optimization methods, by which the global minimum can be obtained without trapping in local minima. Particle swarm optimization(PSO), which is one of those methods, is known for its high search ability and easy implement. However, it might be difficult to find the global optimum for optimization problems which have a lot of decision variables and local optima. In this paper, we propose three types of new PSO to clear the weak point. One is a model with the nonlinear dissipative term intoroduced by Fujita, Yasuda and Yokoyama (4) to prohibit the search point's velocity 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 meta-heuristics are proposed as a class of global optimization methods, by which the global minimum can be obtained without trapping in local minima. Particle swarm optimization(PSO), which is one of those methods, is known for its high search ability and easy implement. However, it might be difficult to find the global optimum for optimization problems which have a lot of decision variables and local optima. In this paper, we propose three types of new PSO to clear the weak point. One is a model with the nonlinear dissipative term intoroduced by Fujita, Yasuda and Yokoyama (4) to prohibit the search point's velocity 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 - Disspative dynamical system

KW - Global optimization

KW - Particle swarm optimization

UR - http://www.scopus.com/inward/record.url?scp=34249744470&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34249744470&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:34249744470

VL - 127

JO - IEEJ Transactions on Electronics, Information and Systems

JF - IEEJ Transactions on Electronics, Information and Systems

SN - 0385-4221

IS - 5

ER -