DocumentCode
1635326
Title
Dissipative particle swarm optimization
Author
Xie, Xiao-Feng ; Zhang, Wen-Jun ; Yang, Zhi-Lian
Author_Institution
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1456
Lastpage
1461
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1004457
Filename
1004457
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