A closed loop stability analysis and parameter selection of the particle swarm optimization dynamics for faster convergence

被引：51

作者：

Samal, Nayan R. ^{[1
]}

Konar, Amit ^{[1
]}

Das, Swagatam ^{[1
]}

Abraham, Ajith ^{[2
]}

机构：

[1] Jadavpur Univ, ETCE Dept, Kolkata 700032, India

[2] Norwegian Univ Sci & Technol, Ctr Excellence Quantifiable Qual Serv Q2S, Trondheim, Norway

来源：

2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/CEC.2007.4424687

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an alternative formulation of the PSO dynamics by a closed loop control system, and analyzes the stability behavior of the system by using Jury's test and root locus technique. Previous stability analysis of the PSO dynamics was restricted because of no explicit modeling of the non-linear element in the feedback path. In the present analysis, the nonlinear element model of the non-linear element is considered for closed loop stability analysis. Unlike the previous works on stability analysis, where the acceleration coefficients have been combined into a single term, this paper considered their separate existence for determining their suitable range to ensure stability of the dynamics. The range of parameters of the PSO dynamics, obtained by Jury's test and root locus technique were also confirmed by computer simulation of the PSO algorithm.

引用

页码：1769 / +

页数：2

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