中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An effective DE algorithm for hybrid flow shop load balancing scheduling problem

文献类型:会议论文

作者Han ZH(韩忠华); Dong XT(董晓婷); Lin S(林硕)
出版日期2015
会议名称International Conference on Electronic Science and Automation Control (ESAC)
会议日期Augest 15-16, 2015
会议地点Zhengzhou, PEOPLES R CHINA
关键词HFS scheduling problem load balancing selection probability DE algorithm DPSADE algorithm
页码221-225
中文摘要In this paper, an improved DE algorithm called double population self-adaptive differential evolution (DPSADE) algorithm is used to solve the hybrid flow shop load balancing scheduling problem (HFS-LBSP) which combines a novel double population cooperative evolution mechanism with a special self-adaptive parameter adjusting strategy. A mathematical model in which the weighted summation of the processing time load balancing cost and the total parallel machine waiting time is set as load balancing comprehensive evaluation index is formulated for this problem. In the last, The comparison between DPSADE and DE, SADE demostrates the effectiveness of DPSADE in solving HFS-LBSP.
收录类别CPCI(ISTP)
产权排序1
会议录PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ELECTRONIC SCIENCE AND AUTOMATION CONTROL
会议录出版者ATLANTIS PRESS
会议录出版地PARIS
语种英语
ISSN号2352-538X
ISBN号978-94-62520-95-0
WOS记录号WOS:000364830600054
源URL[http://ir.sia.cn/handle/173321/17538]  
专题沈阳自动化研究所_数字工厂研究室
推荐引用方式
GB/T 7714
Han ZH,Dong XT,Lin S. An effective DE algorithm for hybrid flow shop load balancing scheduling problem[C]. 见:International Conference on Electronic Science and Automation Control (ESAC). Zhengzhou, PEOPLES R CHINA. Augest 15-16, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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