计算机工程与应用2017，Vol.53Issue(19)：55-60,6.DOI:10.3778/j.issn.1002-8331.1610-0049
基于Baldwin效应的直觉模糊自适应差分进化算法
Baldwin effect-based intuitionistic fuzzy adaptive differential evolution
摘要
Abstract
To overcome the premature convergence of current versions of Differential Evolution(DE)algorithm, an ad-vanced adaptive DE is proposed. Elite individuals, conducted with Baldwin learning, preserve their genotype and try sev-eral phenotypes to guide other individuals in uncertain generations;meanwhile, mutation factors are controlled with feed-back by intuitionistic fuzzy reasoning. Tested by 19 typical benchmark functions and compared with other state-of-the-art ad-vanced DE, the new method performs better global search capability and convergence speed.关键词
差分进化/自适应/直觉模糊推理/Baldwin效应Key words
Differential Evolution(DE)/adaptive/intuitionistic fuzzy reasoning/Baldwin effect分类
信息技术与安全科学引用本文复制引用
文童,华继学,王毅,梅海涛,贾琪,杨进帅..基于Baldwin效应的直觉模糊自适应差分进化算法[J].计算机工程与应用,2017,53(19):55-60,6.基金项目
国家自然科学基金(No.61402517) （No.61402517）
中国博士后基金(No.2013M542331) （No.2013M542331）
陕西省自然科学基金(No.2013JQ8035). （No.2013JQ8035）
