A dissipative particle swarm optimization

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dc.creatorXie, Xiao-Feng
dc.creatorZhang, Wen-Jun
dc.creatorYang, Zhi-Lian
dc.date2005-05-24
dc.date2005-05-27
dc.date.accessioned2026-07-07T03:23:02Z
dc.date.available2026-07-07T03:23:02Z
dc.descriptionA dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively
dc.descriptionProceedings of the 2002 Congress on Evolutionary Computation, 2002. Volume: 2, On page(s): 1456-1461
dc.identifierhttps://arxiv.org/abs/cs/0505065
dc.identifierhttp://arxiv.org/abs/cs/0505065
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32785
dc.subjectNeural and Evolutionary Computing
dc.titleA dissipative particle swarm optimization
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