A dissipative particle swarm optimization

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May 27, 2005
Xiao-Feng Xie, Wen-Jun Zhang, Zhi-Lian Yang
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A 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

* Proceedings of the 2002 Congress on Evolutionary Computation, 2002. Volume: 2, On page(s): 1456-1461  
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