A dissipative particle swarm optimization
  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 
Xiao-Feng Xie, Wen-Jun Zhang, Zhi-Lian Yang