A new differential mutation base generator for differential evolution

被引：20
|
作者：
Lin, Chuan [1 ,2 ]
Qing, Anyong [2 ]
Feng, Quanyuan [1 ]
机构：
[1] SW Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 610031, Peoples R China
[2] Natl Univ Singapore, Temasek Labs, Singapore 117508, Singapore
来源：
JOURNAL OF GLOBAL OPTIMIZATION | 2011年 / 49卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Differential evolution; Differential mutation; Best of random; Diversity; ELECTROMAGNETIC INVERSE SCATTERING; OPTIMIZATION;
D O I：
10.1007/s10898-010-9535-7
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：
A new differential mutation base strategy for differential evolution (DE), namely best of random, is proposed. The best individual among several randomly chosen individuals is chosen as the differential mutation base while the other worse individuals are donors for vector differences. Hence both good diversity and fast evolution speed can be obtained in DE using the new differential mutation base. A comprehensive comparative study is carried out over a set of benchmark functions. Numerical results show that a better balance of reliability and efficiency can be obtained in differential evolution implementing the new generator of differential mutation base, especially in functions with high dimension.
引用
收藏
页码：69 / 90
页数：22
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