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Information Processing LettersVolume 109, Issue 11, 16 May 2009, Pages 548-552

Time-varying PSO - convergence analysis, convergence-related parameterization and new parameter adjustment schemes(Article)

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  • Computing and Control Department, Faculty of Technical Sciences, Novi Sad, Serbia

Abstract

In this paper, a formal convergence analysis of the conventional PSO algorithms with time-varying parameters is presented. Based on this analysis, a new convergence-related parametric model for the conventional PSO is introduced. Finally, several new schemes for parameter adjustment, providing significant performance benefits, are introduced. Performance of these schemes is empirically compared to conventional PSO algorithms on a set of selected benchmarks. The tests prove effectiveness of the newly introduced schemes, especially regarding their ability to efficiently explore the search space. © 2009 Elsevier B.V. All rights reserved.

Author keywords

Analysis of algorithmsGlobal optimizationParticle Swarm Optimization

Indexed keywords

Engineering controlled terms:AlgorithmsConvergence of numerical methodsGlobal optimizationTime varying systems
Engineering uncontrolled terms:Analysis of algorithmsConvergence analysisNew parametersParametric modelsParticle Swarm OptimizationPerformance benefitsPso algorithmsSearch spacesTime-varyingTime-varying parameters
Engineering main heading:Particle swarm optimization (PSO)
  • ISSN: 00200190
  • CODEN: IFPLA
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1016/j.ipl.2009.01.021
  • Document Type: Article

  Kanović, Z.; Computing and Control Department, Faculty of Technical Sciences, Serbia;
© Copyright 2009 Elsevier B.V., All rights reserved.

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