A numerical study of some modified differential evolution algorithms

被引：213

作者：

Kaelo, P ^{[1
]}

Ali, MM ^{[1
]}

机构：

[1] Univ Witwatersrand, Sch Computat & Appl Math, ZA-2050 Johannesburg, Johannesburg, South Africa

来源：

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2006年 / 169卷 / 03期

关键词：

global optimization; population set based method; modified differential evolution; continuous variable;

D O I：

10.1016/j.ejor.2004.08.047

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Modifications in mutation and localization in acceptance rule are suggested to the differential evolution algorithm for global optimization. Numerical experiments indicate that the resulting algorithms are considerably better than the original differential evolution algorithm. Therefore, they offer a reasonable alternative to many currently available stochastic algorithms, especially for problems requiring 'direct search type' methods. Numerical study is carried out using a set of 50 test problems many of which are inspired by practical applications. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：1176 / 1184

页数：9

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