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Application of self-adaptive evolution strategy de algorithm based on optimal objective of due date in HFSP
Miao, Yu; Lv XS(吕希胜); Chen Z(陈喆); Guo DQ(郭大权)
作者部门数字工厂研究室
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
会议录名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码1491-1495
收录类别EI ; CPCI(ISTP)
EI收录号20161402187810
WOS记录号WOS:000380502300272
产权排序1
ISSN号2379-7711
ISBN号978-1-4799-8730-6
关键词Self-adaptive De Algorithm Evolutionary Strategy Scheduling Hfsp Earliness/tardiness
摘要For the due date of hybrid flow shop scheduling problem, An Evolutionary strategy for adaptive differential evolution algorithm is used for the Method for production scheduling. The initial population establishment Method based on the probability distribution of delivery of the finished procedure is proposed. Self-adaptive DE algorithm is used for global optimization. The Procedure of Time and sequence is determined by Local assignment rules. Fitness function is structured through that the delivery period by the earliness / tardiness penalties to join the hybrid flow shop scheduling optimization process. Delivery of hybrid flow shop earliness and tardiness scheduling model is structured to realize the global assigned of production task. Some of production of work piece machining path will be determined. Comparative analysis of the results of numerical calculation through multi - group program proves that self-adaptive DE algorithm achieves better results in solving hybrid flow shop delivery of hybrid flow shop scheduling problem.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/18524
专题数字工厂研究室
作者单位1.Information Center of Ulanhot Cigarettes Factory, HongyunHonghe Tabacco Group, Ulanhot, China
2.Department of Digital Factory, Shenyang Institute of Automation, CAS, Shenyang, China
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GB/T 7714
Miao, Yu,Lv XS,Chen Z,et al. Application of self-adaptive evolution strategy de algorithm based on optimal objective of due date in HFSP[C]. Piscataway, NJ, USA:IEEE,2015:1491-1495.
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