Research of stochastic weight strategy for extended particle swarm optimizer

doi:1005-8885 (2008) 02-0122-03

中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (2): 122-124.doi: 1005-8885 (2008) 02-0122-03

Research of stochastic weight strategy for extended particle swarm optimizer

徐俊杰、岳忻、
忻展红

Economics and Management College, Anqing Teachers College,
Anqing 246133, China

收稿日期:2007-07-21 修回日期:1900-01-01 出版日期:2008-06-30
通讯作者: 徐俊杰

Research of stochastic weight strategy for extended particle swarm optimizer

XU Jun-jie, YUE Xin, XIN Zhan-hong

Economics and Management College, Anqing Teachers College,
Anqing 246133, China

Received:2007-07-21 Revised:1900-01-01 Online:2008-06-30
Contact: XU Jun-jie

摘要/Abstract

摘要：

To improve the performance of extended particle swarm optimizer, a novel means of stochastic weight deployment is proposed for the iterative equation of velocity updation. In this scheme, one of the weights is specified to a random number within the range of [0, 1] and the other two remain constant configurations. The simulations show that this weight strategy outperforms the previous deterministic approach with respect to success rate and convergence speed. The experi- ments also reveal that if the weight for global best neighbor is specified to a stochastic number, extended particle swarm optimizer achieves high and robust performance on the given multi-modal function.

关键词:

;particle;swarm;optimization,;evolutionary;computation,;stochastic;weight,;function;optimization

Abstract:

Key words:

particle swarm optimization;evolutionary computation;stochastic weight;function optimization

中图分类号:

TP301

XU Jun-jie, YUE Xin, XIN Zhan-hong. Research of stochastic weight strategy for extended particle swarm optimizer[J]. Acta Metallurgica Sinica(English letters), 2008, 15(2): 122-124.

参考文献

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Research of stochastic weight strategy for extended particle swarm optimizer

Research of stochastic weight strategy for extended particle swarm optimizer

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