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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Bibliographic Details
Published in:	International journal of intelligent computing and cybernetics Vol. 1; no. 3; pp. 425 - 453
Main Authors:	Muñoz Zavala, Angel E., Hernández Aguirre, Arturo, Villa Diharce, Enrique R., Botello Rionda, Salvador
Format:	Journal Article
Language:	English
Published:	Bingley Emerald Group Publishing Limited 22.08.2008
Subjects:	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
Online Access:	Get full text
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