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题名: An effective DE algorithm for hybrid flow shop load balancing scheduling problem
作者: Han ZH(韩忠华); Dong XT(董晓婷); Lin S(林硕)
作者部门: 数字工厂研究室
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
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
出版日期: 2015
页码: 221-225
收录类别: CPCI(ISTP)
ISSN号: 2352-538X
ISBN号: 978-94-62520-95-0
关键词: HFS scheduling problem ; load balancing ; selection probability ; DE algorithm ; DPSADE algorithm
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.
语种: 英语
产权排序: 1
WOS记录号: WOS:000364830600054
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17538
Appears in Collections:数字工厂研究室_会议论文

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