Selective regenerated particle swarm optimization for multimodal function

Authors:
Chi-Yang Tsai;I-Wei Kao
Affiliations:
Department of Industrial Engineering and Management Department, Yuan Ze University University, Taoyuan, Taiwan, R.O.C.;Department of Industrial Engineering and Management Department, Yuan Ze University University, Taoyuan, Taiwan, R.O.C.
Venue:
ACS'08 Proceedings of the 8th conference on Applied computer scince
Year:
2008

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Abstract

This article proposes an improved particle swarm optimization (PSO) with suggested parameter setting "Selective Particle Regeneration". To evaluate its reliability and efficiency, this approach is applied to multimodal function optimizing tasks. 12 benchmark functions were tested, and results are compared with those of PSO and GA-PSO. It shows the proposed method is both robust and suitable for multimodal function optimization.