说明：  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. 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.
(A dissipative particle swarm optimization isdeveloped according to the self-organization of dissipativestructure. The negative entropy is introduced to construct anopening dissipative system that is far-from-equilibrium so as todriving the irreversible evolution process with better fitness.The testing of two multimodal functions indicates it improvesthe performance effectively.structure. The negative entropy is introduced to construct anopening dissipative system that is far-from-equilibrium so as todriving the irreversible evolution process with better fitness.The testing of two multimodal functions indicates it improvesthe performance effectively.)