Baldwin Effect-based Memetic Differential Evolution Algorithm
WEN Tong
WANG Yi
HUA Jixue
WEI Xiaohui
YANG Jinshuai
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 .
Keywords：memetic algorithmBaldwin effectdifferential evolutionhooke jeeves
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 105-110 )