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

被引：35
|
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
收藏
页码：1148 / 1154
页数：7
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