A dissipative particle swarm optimization
Loading...
Date
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Description
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
Proceedings of the 2002 Congress on Evolutionary Computation, 2002. Volume: 2, On page(s): 1456-1461