空军工程大学学报（自然科学版）2011，Vol.12Issue(3)：84-89,6.DOI:10.3969/j.issn.1009-3516.2011.03.018
自适应局部增强微分进化改进算法
A Modified Differential Evolution Algorithm with Adaptive and Local Enhanced Operator
摘要
Abstract
The differential evolution algorithm is robust, easy to use, and requires few control parameters. However, as to the local optimizing ability, it is limited. Based on the principium analysis of the algorithm, the adaptive modification of the cross rate and the cross operator is proposed to improve the efficiency of the algorithm. To enhance the local optimizing, the local enhanced operator and the disturbed operator are proposed. Numerical study is carried out using five benchmark functions. Compared with the PSO algorithm, DE and MPDE, the ADMPDE is the most efficient algorithm of all, which verifies that the modification is effective.关键词
微分进化算法/交叉概率/自适应调整/增强算子Key words
differential evolution algorithm/ cross rate/ adaption/ local enhanced operator分类
信息技术与安全科学引用本文复制引用
黄仁全,靳聪,贺筱军,吕文平..自适应局部增强微分进化改进算法[J].空军工程大学学报（自然科学版）,2011,12(3):84-89,6.基金项目
国防科技重点实验室基金资助项目 （）
