Differential evolution algorithms using hybrid mutation

被引：80
|
作者：
Kaelo, P. [1 ]
Ali, M. M. [1 ]
机构：
[1] Univ Witwatersrand, Sch Computat & Appl Math, ZA-2050 Johannesburg, South Africa
来源：
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS | 2007年 / 37卷 / 02期
关键词：
global optimization; mutation; differential evolution; electromagnetism-like algorithm; attraction-repulsion;
D O I：
10.1007/s10589-007-9014-3
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
Differential evolution (DE) has gained a lot of attention from the global optimization research community. It has proved to be a very robust algorithm for solving non-differentiable and non-convex global optimization problems. In this paper, we propose some modifications to the original algorithm. Specifically, we use the attraction-repulsion concept of electromagnetism-like (EM) algorithm to boost the mutation operation of the original differential evolution. We carried out a numerical study using a set of 50 test problems, many of which are inspired by practical applications. Results presented show the potential of this new approach.
引用
收藏
页码：231 / 246
页数：16
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