Modified particle swarm optimization algorithm with simulated annealing behavior and its numerical verification

The hybrid algorithm that combined particle swarm optimization with simulated annealing behavior (SA-PSO) is proposed in this paper. The SA-PSO algorithm takes both of the advantages of good solution quality in simulated annealing and fast searching ability in particle swarm optimization. As stochas...

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Veröffentlicht in:	Applied mathematics and computation Jg. 218; H. 8; S. 4365 - 4383
Hauptverfasser:	Shieh, Horng-Lin, Kuo, Cheng-Chien, Chiang, Chin-Ming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Inc 15.12.2011 Elsevier
Schlagworte:	Algorithms Calculus of variations and optimal control Computational efficiency Computing time Convergence Elite reserve Exact sciences and technology Heuristic search Mathematical analysis Mathematical models Mathematics Metropolis process Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Numerical methods in optimization and calculus of variations Optimization Particle swarm optimization Sciences and techniques of general use Searching Simulated annealing Heuristic search Particle swarm optimization Simulated annealing Metropolis process Elite reserve Optimization method Algorithm Convergence Stochastic programming Convergence speed Mathematical function Numerical analysis Algorithm performance Applied mathematics Variational calculus Mathematical programming
ISSN:	0096-3003, 1873-5649
Online-Zugang:	Volltext
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