DocumentCode :
3106756
Title :
Nonlinear Time-Varying Stability Analysis of Particle Swarm Optimization
Author :
Fan, Weibing ; Cui, Zhihua ; Chen, Yongjing ; Tan, Ying
Author_Institution :
Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
fYear :
2010
fDate :
26-28 Sept. 2010
Firstpage :
3
Lastpage :
6
Abstract :
As a nonlinear time-varying system, it is hard to make the stability analysis for particle swarm optimization (PSO). In this paper, geometric speed stability analysis is introduced to analyze the stability condition of PSO. According to the condition, a new inertia weight selection strategy is proposed. Simulation results show it is effective.
Keywords :
geometry; nonlinear systems; particle swarm optimisation; stability; time-varying systems; geometric speed stability analysis; inertia weight selection; nonlinear time-varying system; particle swarm optimization; stability condition; Convergence; Electronic mail; Laboratories; Particle swarm optimization; Simulation; Stability analysis; Time varying systems; geometric speed stability analysis; nonlinear time-varying system; particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
Type :
conf
DOI :
10.1109/CASoN.2010.8
Filename :
5636863
Link To Document :
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