Constrained optimization with an improved particle swarm optimization algorithm

Purpose - The purpose of this paper is to present a new constrained optimization algorithm based on a particle swarm optimization (PSO) algorithm approach.Design methodology approach - This paper introduces a hybrid approach based on a modified ring neighborhood with two new perturbation operators d...

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Vydané v:	International journal of intelligent computing and cybernetics Ročník 1; číslo 3; s. 425 - 453
Hlavní autori:	Muñoz Zavala, Angel E., Hernández Aguirre, Arturo, Villa Diharce, Enrique R., Botello Rionda, Salvador
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bingley Emerald Group Publishing Limited 22.08.2008
Predmet:	Algorithms Bias Computer programming Constraints Genetic algorithms Handles Mathematical models Mutation Neighborhoods Nonlinearity Optimization Optimization techniques Population State of the art Studies Variance analysis Velocity Optimization techniques Programming and algorithm theory Variance
ISSN:	1756-378X, 1756-3798
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