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  2009, Vol. 1 Issue (4): 72-73    DOI:
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A Particle Swarm Optimization Algorithm with Nonlinear Function
Zhu Jiayu
(College of Mathematics and Information science Guangzhou University,Guangzhou 510006,Guangdong)
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Abstract  To overcome the problems of the particle swarm optimization (PSO),such as relapsing into local extremum in the beginning stage of evolution,slow convergence and low convergence precision in the late stage, we propose a particle swarm optimization algorithm with nonlinear function (nfPSO).In the nfPSO,use a nonlinear function of evolution iteration to control the inertia weight and accelerate coefficient.The experiment results demonstrate that the proposed algorithm is better in the convergence velocity and precision.
Key wordsparticle swarm optimization      nonlinear function      acceleration coefficient      inertia weight     
Received: 01 January 1900      Published: 10 April 2009

Cite this article:

Zhu Jiayu. A Particle Swarm Optimization Algorithm with Nonlinear Function. , 2009, 1(4): 72-73.

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http://www.computertelecom.com.cn/EN/     OR     http://www.computertelecom.com.cn/EN/Y2009/V1/I4/72

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