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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)
Publication 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
Sponsorship: This work was supported in part by the Key Program of the National Natural Science Foundation (NNSF) of China under Grant 70931001 and 70771021, the Science Fund for Creative Research Group of the NNSF of China under Grant 60821063 and 70721001, the Ph.D. Programs Foundation of the Ministry of education of China under Grant 200801450008, and by the Engineering and Physical Sciences Research Council of U.K. under Grant EP/E060722/1.
ISSN: 1083-4419
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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