A new PSO algorithm with random C/D switchings

DOI10.1016/j.amc.2012.02.059zbMath1245.90150OpenAlexW2016771360MaRDI QIDQ440922

Xuemei Ren, Hongbin Ma, Jun Liu

Publication date: 19 August 2012

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2012.02.059

zbMATH Keywords

convergence analysisparticle swarm optimizationrandom switchingconstriction factorinertia weight

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Approximation methods and heuristics in mathematical programming (90C59)

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Cites Work

• An improved particle swarm optimizer for parametric optimization of flexible satellite controller
• Generalized particle swarm optimization algorithm - theoretical and empirical analysis with application in fault detection
• Particle swarm optimization: Hybridization perspectives and experimental illustrations
• A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
• Time-varying PSO - convergence analysis, convergence-related parameterization and new parameter adjustment schemes
• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• Locating multiple optima using particle swarm optimization
• Multi-objective particle swarm optimization with time variant inertia and acceleration coefficients

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