A Niche-Related Particle Swarm Meta-Heuristic Algorithm for Multimodal Optimization
A niche-related particle swarm meta-heuristic algorithm for dealing with multimodal optimization problem is proposed in this paper. The inspiration and numerical algorithm are presented and the Rastrigin function with numerous local optima is adopted as the illustrative example. Proposed multimodal particle swarm optimization (MPSO) is sensitive to predetermined multimodal numbers, particle numbers, niche radius, and convergent iterations. The results show that the proposed MPSO is accurate and stable. The presented MPSO is ready for applied engineering optimization and further application.
KeywordsParticle swarm optimization algorithm Multimodal function Niche Bio-logical based optimization
The support received from the National Science Council, Taiwan under Grant No. NSC 102-2221-E-032-010, is gratefully acknowledged.
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