文献类型：期刊文献

英文题名：Self-adaptive differential evolution algorithm with discrete mutation control parameters

作者：Fan, Qinqin[1];Yan, Xuefeng[1]

机构：[1]E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2015

卷号：42

期号：3

起止页码：1551

外文期刊名：EXPERT SYSTEMS WITH APPLICATIONS

收录：;EI(收录号：20144500164565);WOS:【SCI-EXPANDED(收录号:WOS:000345734700046)】；

基金：The authors gratefully acknowledge the support from the following foundations: 973 project of China (2013CB733605), National Natural Science Foundation of China (21176073) and the Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：Evolutionary computation; Differential evolution algorithm; Discrete mutation parameters; Control parameter adaptation; Mutation strategy adaptation

摘要：Generally, the optimization problem has different relationships (i.e., linear, approximately linear, non-linear, or highly non-linear) with different optimized variables. The choices of control parameters and mutation strategies would directly affect the performance of differential evolution (DE) algorithm in satisfying the evolution requirement of each optimized variable and balancing its exploitation and exploration capabilities. Therefore, a self-adaptive DE algorithm with discrete mutation control parameters (DMPSADE) is proposed. In DMPSADE, each variable of each individual has its own mutation control parameter, and each individual has its own crossover control parameter and mutation strategy. DMPSADE was compared with 8 state-of-the-art DE variants and 3 non-DE algorithms by using 25 benchmark functions. The statistical results indicate that the average performance of DMPSADE is better than those of all other competitors. (C) 2014 Elsevier Ltd. All rights reserved.