An improved particle swarm optimization algorithm with disturbance term

Authors:
Qingyuan He;Chuanjiu Han
Affiliations:
Department of Communication and Information Engineering, Guilin University of Electronic Technology, Guilin, Guangxi, China;Department of Communication and Information Engineering, Guilin University of Electronic Technology, Guilin, Guangxi, China
Venue:
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Year:
2006

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Abstract

The standard particle swarm optimization (PSO) algorithm, existing improvements and their influence to the performance of standard PSO are introduced. The framework of PSO basic formula is analyzed. Implied by its three-term structure, the inherent shortcoming that trends to local optima is indicated. Then a modified velocity updating formula of particle swarm optimization algorithm is declared. The addition of the disturbance term based on existing structure effectively mends the defects. The convergence of the improved algorithm is analyzed. Simulation results demonstrated that the improved algorithm have a better performance than the standard one.