Repel the swarm to the optimum!

被引：14

作者：

Leontitsis, A ^{[1
]}

Kontogiorgos, D

Pagge, J

机构：

[1] Univ Ioannina, Dept Educ, GR-45110 Ioannina, Greece

[2] Univ Patras, Ctr Res Applicat Nonlinear Syst, GR-26500 Patras, Greece

[3] Univ Sheffield, Dept Archaeol & Prehist, Sheffield S1 4 ET, S Yorkshire, England

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2006年 / 173卷 / 01期

关键词：

particle swarm optimization; repellor;

D O I：

10.1016/j.amc.2005.04.004

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We improve the particle swarm optimization (PSO) by introducing the concept of the repellor. So far, the PSO algorithm is guided by the optimum of each particle and the optimum found by all the particles. We now add to the algorithm the location of the worst point found so far and location the worst point found by all the particles. These worst points have the property of repelling the particles to the local and the global optima, respectively. This way the PSO algorithm is improved in the sense that the swarm is able to locate the global optimum more rapidly. Empirical results are presented on archaeological data. (c) 2005 Elsevier Inc. All rights reserved.

引用

页码：265 / 272

页数：8

共 11 条

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