空军工程大学学报（自然科学版）2017，Vol.18Issue(5)：105-110,6.DOI:10.3969/j.issn.1009-3516.2017.05.018
基于Baldwin效应的memetic差分进化算法
Baldwin Effect-based Memetic Differential Evolution Algorithm
摘要
Abstract
Aimed at the problem that Baldwin effect in memetic differential evolution is not ripe for applica-tion,This paper proposes a Baldwin effect-based memetic differential evolution (BMDE) algorithm .The algorithm takes the simplified Hooke Jeeves as a local search and DE for globe search with Baldwin effect to Differ from other memetic DE algorithms .The proposed algorithm uses a new method to carry out Bald-win effect by enlarging learned probability of individuals with better local search to change the evolution di-rection and diversify the population .Tested by 30 benchmark functions in CEC2014 and compared with standard DE and 3 state-of-the-art DE algorithms,BMDE performs satisfied convergence ability .关键词
memetic算法/Baldwin效应/差分进化/模式搜索Key words
memetic algorithm/Baldwin effect/differential evolution/hooke jeeves分类
计算机与自动化引用本文复制引用
文童,王毅,华继学,魏晓辉,杨进帅..基于Baldwin效应的memetic差分进化算法[J].空军工程大学学报（自然科学版）,2017,18(5):105-110,6.基金项目
国家自然科学基金(61402517) （61402517）
中国博士后基金(2013M542331) （2013M542331）
陕西省自然科学基金(2013JQ8035) （2013JQ8035）
