Particle swarm optimisation with spatial particle extension

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 25 Jun 2003Publisher:IEEEJournal:Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), volume 2, pages 1,474-1,479

Authors: Krink, Thiemo; Vesterstrøm, Jakob Svaneborg; Riget, Jacques;

doi: 10.1109/cec.2002.1004460

Particle swarm optimisation with spatial particle extension

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Abstract

In this paper, we introduce spatial extension to particles in the PSO model in order to overcome premature convergence in iterative optimisation. The standard PSO and the new model (SEPSO) are compared w.r.t. performance on well-studied benchmark problems. We show that the SEPSO indeed managed to keep diversity in the search space and yielded superior results.

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Aarhus University
Denmark

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