The Levy particle swarm

被引：57

作者：

Richer, Toby J. ^{[1
]}

Blackwell, T. M. ^{[1
]}

机构：

[1] Univ London Goldsmiths Coll, Dept Comp, New Cross, London SE16 6NW, England

来源：

2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6 | 2006年

基金：

英国工程与自然科学研究理事会;

关键词：

D O I：

10.1109/CEC.2006.1688394

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Many foragers and wandering animals have been shown to follow a Levy distribution of steps and it is conjectured here that this distribution may be useful for optimization algorithms too. This paper investigates the effectiveness of replacing the particle dynamics within Particle Swarm Optimization (PSO) by random sampling from a Levy distribution. The resulting Levy PSO is demonstrated to perform as well, or better, than a standard PSO or equivalent Gaussian models over a range of benchmark problems.

引用

页码：808 / +

页数：2

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