Title :
Dissipative particle swarm optimization
Author :
Xie, Xiao-Feng ; Zhang, Wen-Jun ; Yang, Zhi-Lian
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
fDate :
6/24/1905 12:00:00 AM
Abstract :
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
Keywords :
artificial life; evolutionary computation; dissipative particle swarm optimization; dissipative structure; evolutionary computation; fitness; irreversible evolution process; multimodal functions; negative entropy; performance; self-organization; Biological system modeling; Entropy; Evolution (biology); Evolutionary computation; Fluctuations; Microelectronics; Particle swarm optimization; Performance analysis; Testing; Thermodynamics;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004457
