Generalized particle swarm optimization algorithm - theoretical and empirical analysis with application in fault detection

DOI10.1016/J.AMC.2011.05.013zbMath1220.65068OpenAlexW2007164443MaRDI QIDQ555450

Milan R. Rapaić, Željko Kanović, Zoran D. Jelicic

Publication date: 22 July 2011

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

Full work available at URL: https://doi.org/10.1016/j.amc.2011.05.013

zbMATH Keywords

global optimizationfault detectionnumerical examplesanalysis of algorithmscontrol theorygenetic algorithmparticle swarm optimization

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Stochastic programming (90C15)

Related Items (7)

The fault diagnosis inverse problem with ant colony optimization and ant colony optimization with dispersion ⋮ A new PSO algorithm with random C/D switchings ⋮ Damage assessment of truss structures from changes in natural frequencies using ant colony optimization ⋮ An improved self-adaptive PSO algorithm with detection function for multimodal function optimization problems ⋮ Gravitational particle swarm ⋮ Control of double-loop permanent magnet synchronous motor drives by optimized fractional and distributed-order PID controllers ⋮ Structural damage assessment using FRF employing particle swarm optimization

Uses Software

• Genocop
• MCPSO

Cites Work

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• Optimization by Simulated Annealing
• A study of global optimization using particle swarms
• Improved particle swarm algorithm for hydrological parameter optimization
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• Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm
• MCPSO: a multi-swarm cooperative particle swarm optimizer
• Rainfall forecasting by technological machine learning models
• Application of particle swarm optimization for distribution feeder reconfiguration considering distributed generators
• Time-varying PSO - convergence analysis, convergence-related parameterization and new parameter adjustment schemes
• Particle swarm optimization with FUSS and RWS for high dimensional functions
• Mixed-variable engineering optimization based on evolutionary and social metaphors
• Support vector machines: theory and applications.
• Ant colony optimization theory: a survey

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