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

DOI10.1016/j.ipl.2009.01.021zbMath1209.68706OpenAlexW2017563615MaRDI QIDQ987819

Željko Kanović, Milan R. Rapaić

Publication date: 16 August 2010

Published in: Information Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ipl.2009.01.021

zbMATH Keywords

global optimizationanalysis of algorithmsparticle swarm optimization

Mathematics Subject Classification ID

Analysis of algorithms (68W40)

Related Items (5)

A new PSO algorithm with random C/D switchings ⋮ On the convergence of a cooperative bat searching algorithm ⋮ Decay rate and l² gain analysis for the particle swarm optimization algorithm ⋮ Generalized particle swarm optimization algorithm - theoretical and empirical analysis with application in fault detection ⋮ Convergence analysis of standard particle swarm optimization algorithm and its improvement

Cites Work

• Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm
• A modified particle swarm optimizer with dynamic adaptation
• Unnamed Item

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