Micro-particle swarm optimizer for solving high dimensional optimization problems (μPSO for high dimensional optimization problems)

被引：36

作者：

Huang, Tony ^{[1
]}

Mohan, Ananda Sanagavarapu ^{[1
]}

机构：

[1] Univ Technol Sydney, Microwave & Wireless Technol Res Lab, Informat & Commun Grp, Fac Engn, Sydney, NSW 2007, Australia

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2006年 / 181卷 / 02期

基金：

澳大利亚研究理事会;

关键词：

evolutionary computation; high dimensional optimization problems; micro-particle swarm optimizer; optimization methods; particle swarm optimizer;

D O I：

10.1016/j.amc.2006.01.088

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

A simple and powerful micro-particle swarm optimizer (mu PSO) is presented. For high dimensional optimization problems, the proposed mu PSO needs only a small population to outperform the standard particle swarm optimizer (PSO) that uses a larger population. This superior performance is confirmed by simulation results for different high dimensional test functions. (c) 2006 Elsevier Inc. All rights reserved.

引用

页码：1148 / 1154

页数：7

共 6 条

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