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2010

Particle Swarm Optimization With Composite Particles in Dynamic Environments

8 years 3 months ago
Particle Swarm Optimization With Composite Particles in Dynamic Environments
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...
Lili Liu, Shengxiang Yang, Dingwei Wang
Added 22 May 2011
Updated 22 May 2011
Type Journal
Year 2010
Where TSMC
Authors Lili Liu, Shengxiang Yang, Dingwei Wang
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