Notice of Retraction A hierarchical particle swarm optimization algorithm combined with chaotic search
作者： Weibo Wang , Quanyuan Feng
DOI: 10.1109/CCTAE.2010.5544220
关键词:
摘要: To overcome disadvantage of Particle Swarm Optimization (PSO) algorithm such as premature convergence and lack good local search ability, a novel PSO (HCPSO) is proposed. Based on the hierarchical topology, HCPSO can take balance exploration exploitation. Combined with chaotic search, could explore for better solution around comprehensive best position whose dimensions learn from corresponding dimension other particle's personal position. The region adaptively adjusted according to distance between simulation results set benchmark functions comparison variants algorithms verify efficiency algorithm.
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