Investigating the Impact of Alternative Evolutionary Selection Strategies on Multi-method Global Optimization

被引：0
|
作者：
Grobler, Jacomine [1 ]
Engelbrecht, Andries P. [2 ]
Kendall, Graham [3 ]
Yadavalli, V. S. S. [1 ,2 ]
机构：
[1] Univ Pretoria, Dept Ind & Syst Engn, ZA-0002 Pretoria, South Africa
[2] Univ Pretoria, Dept Comp Sci, Pretoria, South Africa
[3] Univ Nottingham, Sch Comp Sci, Nottingham NG7 2RD, England
来源：
2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2011年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Algorithm selection is an important consideration in multi-method global optimization. This paper investigates the use of various algorithm selection strategies derived from well known evolutionary selection mechanisms. Selection strategy performance is evaluated on a diverse set of floating point benchmark problems and meaningful conclusions are drawn with regard to the impact of selective pressure on algorithm selection in a multi-method environment.
引用
收藏
页码：2337 / 2344
页数：8
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