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论文类型：期刊论文

发表时间：2011-07-01

发表刊物：Journal of Computational Information Systems

收录刊物：EI、Scopus

卷号：7

期号：7

页面范围：2379-2386

ISSN号：15539105

摘要：Niching technique plays an important role in multimodal function optimization. This paper introduces species migration and removes duplicate species into niching algorithms and proposes Adaptively Species-Migration-Based Multimodal Particle Swarm Optimization (SMPSO). The proposed algorithm doesn't rely on any prespecified niching parameter. Experiments show that SMPSO has higher success rate and needs lower computation cost than ANPSO in handling most of standard multimodal functions. Copyright ? 2011 Binary Information Press.