The Bi-Group evolutionary programming for image processing - 文章详情页

作者：

Fang, Liu (Fang, Liu.) | Biao, Yang (Biao, Yang.) | Li, Kai Gang (Li, Kai Gang.)

收录：

EI Scopus

摘要：

Evolutionary　programming(EP)　has　been　applied　with　success　to　many　numerical　and　combinatorial　optimization　problems　in　recent　years.　EP　has　rather　slow　convergence　rates,　however,　on　some　function　optimization　problems.　In　this　paper　the　Bi-Group　evolutionary　programming　is　proposed　to　overcome　the　premature　convergence.　There　are　two　groups　in　the　Bi-Group　evolutionary　programming.　The　global　group　is　responsible　for　searching　the　whole　space.　The　local　group　is　responsible　for　searching　the　local　part　in　detail.　The　cooperation　and　specialization　between　different　groups　are　considered　during　the　algorithm　design.　The　experimental　results　show　the　Bi-Group　evolutionary　programming　is　efficient　in　image　processing.　©　2012　IEEE.

关键词：

Computer programming Combinatorial optimization Image processing Optimization

作者机构：

[ 1 ] [Fang, Liu]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Biao, Yang]Department of Automation, North China University of Technology, Beijing, 100041, China
[ 3 ] [Li, Kai Gang]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China

通讯作者信息：

电子邮件地址：

liufang@bjut.edu.cn

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