Particle swarm optimization using lévy probability distribution

Authors:
Xingjuan Cai;Jianchao Zeng;Zhihua Cui;Ying Tan
Affiliations:
Taiyuan University of Science and Technology, Shanxi, P.R. China;Taiyuan University of Science and Technology, Shanxi, P.R. China;State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, P.R. China and Taiyuan University of Science and Technology, Shanxi, P.R. China;Taiyuan University of Science and Technology, Shanxi, P.R. China
Venue:
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Year:
2007

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Abstract

Velocity threshold is an important parameter to affect the performance of particle swarm optimization. In this paper, a novel velocity threshold automation strategy is proposed by incorporated with Lévy probability distribution. Different from Gaussian and Cauchy distribution, it has an infinite second moment and is likely to generate an offspring that is far away from its parent. Therefore, this method employs a larger capability of the global exploration by providing a large velocity scale for each particle. Simulation results show the proposed strategy is effective and efficient.