Parameter selection of a particle swarm optimisation dynamics by closed loop stability analysis
type: Item
instance of: scholarly article
title: Parameter selection of a particle swarm optimisation dynamics by closed loop stability analysis
zbMATH Open document ID: 1206.90228
DOI: 10.1504/IJCSM.2010.037447
author: Nayan R. Samal
author: Amit Konar
author: Swagatam Das
author: Atulya K. Nagar
published in: International Journal of Computing Science and Mathematics
publication date: 2011-02-04T00:00:00Z
review text: Summary: The paper addresses the issues of parameter selection of a particle swarm optimisation (PSO) algorithm by a thorough stability analysis of the swarm dynamics. The effectiveness of the work lies in considering the dynamic behaviour of the local best position of a given particle. The behaviour of an individual particle here is modelled as a closed loop control system, where the forward path describes the particle dynamics, and the feedback path adapts the local best position of the particle over the iterations of the algorithm. The stability analysis of the closed loop system is undertaken using Jury's test, and optimal parameter setting of the dynamics is performed by the root locus technique of the classical control theory.
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 5845437
zbMATH Keywords: PSO dynamics
zbMATH Keywords: convergence
zbMATH Keywords: Jury's test
zbMATH Keywords: root locus
zbMATH Keywords: dominant poles
zbMATH Keywords: dominant roots
zbMATH Keywords: particle swarm optimisation
zbMATH Keywords: parameter selection
zbMATH Keywords: stability analysis
zbMATH Keywords: swarm dynamics
zbMATH Keywords: closed loop control
zbMATH Keywords: control theory
MaRDI profile type: Publication
full work available at URL: ijcsm.2010.037447
OpenAlex ID: W2021530481
description: scientific article; zbMATH DE number 5845437