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An Enhanced Culture-Based Particle Swarm Optimization Algorithm

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2 Author(s)
Yufa Xu ; Electr. Eng. Sch., Shanghai Dianji Univ., Shanghai, China ; Xiang Liu

This paper proposes an Enhanced Culture-Based Particle Swarm Optimization algorithm (ECPSO). In this mixed algorithm, Particle Swarm Optimization algorithm (PSO) is used in the Population Space of Cultural Frame and the update formula of the velocity of PSO algorithm is modified. Then this paper redesigns the knowledge of Believe Space and its update method, and a strategy is proposed which makes the history knowledge guide the update of the situational knowledge. The purpose of all the modify methods in this algorithm is to remain the diversity of the population as well as having a faster convergence velocity. The experimental result indicates that this mixed algorithm can show the effect of culture frame enough and enhance the capability of PSO algorithm efficiently.

Published in:

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on  (Volume:3 )

Date of Conference:

23-24 Oct. 2010