DocumentCode :
3414919
Title :
Inertia Weight Selection Strategy Based on Lyapunov Stability Analysis
Author :
Fan, Weibing ; Cui, Zhihua ; Ceng, Jianchao
Author_Institution :
Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Volume :
3
fYear :
2009
fDate :
12-14 Aug. 2009
Firstpage :
504
Lastpage :
509
Abstract :
In this paper, the Lyapunov stability theory is employed to analyze the stability of standard version of particle swarm optimization, and a random inertia weight selection strategy is obtained from the analyzed results. Simulation results show this random strategy may provide an efficient performance.
Keywords :
Lyapunov methods; particle swarm optimisation; Lyapunov stability analysis; inertia weight selection strategy; particle swarm optimization; Computational intelligence; Computational modeling; Convergence; Evolutionary computation; Hybrid intelligent systems; Iterative algorithms; Laboratories; Lyapunov method; Particle swarm optimization; Stability analysis; Lyapunov function; particle swarm optimization; stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
Type :
conf
DOI :
10.1109/HIS.2009.316
Filename :
5254628
Link To Document :
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