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

[1]

[Anonymous], 1961, Adaptive Control Processes: a Guided Tour, DOI DOI 10.1515/9781400874668

[2]

Carlisle A., 2001, Proceedings of the Workshop on Particle Swarm Optimization, P1

[3]

Kennedy J., 1995, 1995 IEEE International Conference on Neural Networks Proceedings (Cat. No.95CH35828), P1942, DOI 10.1109/ICNN.1995.488968

[4]

Parsopoulos KE, 2004, IEEE T EVOLUT COMPUT, V8, P211, DOI [10.1109/TEVC.2004.826076, 10.1109/tevc.2004.826076]

[5] Using neighbourhoods with the guaranteed convergence PSO [J].

Peer, ES ;

Van den Bergh, F ;

Engelbrecht, AP .

PROCEEDINGS OF THE 2003 IEEE SWARM INTELLIGENCE SYMPOSIUM (SIS 03), 2003, :235-242

[6]

Shi Y., 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), P1945, DOI 10.1109/CEC.1999.785511

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