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A Modified Particle Swarm Optimization Algorithm

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5 Author(s)
Enhai Liu ; Coll. of Comput. Sci. & Software, Hebei Univ. of Technol., Tianjin ; Yongfeng Dong ; Jie Song ; Xiangdan Hou
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Particle swarm optimization algorithm is a kind of auto-adapted search optimization based on community.But the standard particle swarm optimization has the defects of prematurely, stagnation when applied in optimizing problems and easily leading to local minimum. A modified particle swarm optimization algorithm is proposed to improve from the initial solution and the search precision. The results show the algorithm computation precision is increased, the algorithm convergence is improved, and the local minimum phenomenon is mainly avoided. The experimental results of classic functions show that the modified PSO is efficient and feasible.

Published in:

Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on  (Volume:2 )

Date of Conference:

21-22 Dec. 2008