Year: 2005
Type: preprint
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
Source: arXiv (Cornell University)
Authors: Xie, Xiao-Feng, Zhang, Wen-Jun, Yang, Zhi-Lian
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2949685371