Particle swarm optimization with age-group topology for multimodal functions and data clustering
Communications in Nonlinear Science and Numerical Simulation(2013)
摘要
•We proposes a new swarm topology based on age to decide neighborhoods for particles.•We presents a novel parameter adaptation strategy for particle swarm optimization.•The proposed algorithm is compared with 4 PSOs on 12 multimodal functions.•The proposed algorithm is compared with the four evolutionary-algorithm-based clustering methods on 7 real-life datasets.
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关键词
Particle swarm optimization,Age-group topology,Multimodal function optimization,Data clustering
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