On the premature convergence of particle swarm optimization

Rie B. Larsen, Jerome Jouffroy, Benny Lassen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper discusses convergence issues of the basic particle swarm optimization algorithm for different pa- rameters. For the one-dimensional case, it is shown that, for a specific range of parameters, the particles will converge prematurely, i.e. away from the actual minimum of the objective function. We illustrate the proposed results on the tuning of a well-known anti-windup technique in a numerical experiment.
Original languageEnglish
Title of host publication2016 European Control Conference (ECC)
PublisherIEEE Press
Publication date2016
Pages1922-1927
ISBN (Print)978-1-5090-2590-9
ISBN (Electronic)978-1-5090-2591-6
DOIs
Publication statusPublished - 2016
Event2016 European Control Conference - Aalborg, Denmark
Duration: 29. Jun 20161. Jul 2016
Conference number: 15

Conference

Conference2016 European Control Conference
Number15
Country/TerritoryDenmark
CityAalborg
Period29/06/201601/07/2016

Keywords

  • Particle swarm optimization
  • Stability analysis
  • Optimization algorithms
  • Optimization

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