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Title: Particle swarm optimization with composite particles in dynamic environments
Authors: Liu, L
Yang, S
Wang, D
Keywords: Composite particle;Dynamic optimization problem (DOP);Particle swarm optimization (PSO);Scattering operator;Velocity-anisotropic reflection (VAR)
Issue Date: 2010
Publisher: IEEE Press
Citation: IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, 40(6), 1634 - 1648, Dec 2010
Abstract: In recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments. This paper presents a new PSO model, called PSO with composite particles (PSO-CP), to address dynamic optimization problems. PSO-CP partitions the swarm into a set of composite particles based on their similarity using a "worst first" principle. Inspired by the composite particle phenomenon in physics, the elementary members in each composite particle interact via a velocity-anisotropic reflection scheme to integrate valuable information for effectively and rapidly finding the promising optima in the search space. Each composite particle maintains the diversity by a scattering operator. In addition, an integral movement strategy is introduced to promote the swarm diversity. Experiments on a typical dynamic test benchmark problem provide a guideline for setting the involved parameters and show that PSO-CP is efficient in comparison with several state-of-the-art PSO algorithms for dynamic optimization problems.
Description: This article is placed here with the permission of IEEE - Copyright @ 2010 IEEE
ISSN: 1083-4419
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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