中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Lagrangian relaxation algorithms for hybrid flow-shop scheduling problems with energy saving

文献类型:会议论文

作者Ding XL(丁小丽); Zhu J(朱军); Liu C(刘昶)
出版日期2014
会议名称3rd International Conference on Chemical Engineering, Metallurgical Engineering and Metallic Materials, CMMM 2014
会议日期June 20-21, 2014
会议地点Guilin, China
关键词Dynamic programming Energy conservation Heuristic methods Lagrange multipliers Metallurgical engineering Scheduling
页码821-826
中文摘要This paper considers the characteristics of hybrid flow shop with energy saving. First of all, established the model of hybrid flow shop with energy saving problem. Then Lagrangian relaxation was proposed to solve the energy scheduling problem in hybrid flow shop. Lagrangian relaxation algorithm introduced precedence constraints into the objective function, and the original problem was decomposed into a series of parallel machine sub-problems. A dynamic programming algorithm was then designed to solve these sub-problems. The method of updating of multiples was sub-gradient algorithm. Lastly, a two stage heuristic approach was constructed to convert the infeasible solution into a feasible solution. Testing results demonstrated that the proposed method can generate near optimal schedules in an acceptable computational time. © (2014) Trans Tech Publications, Switzerland.
收录类别EI
产权排序1
会议主办者HongKong Control Engineering and Information; International Frontiers of science and; Science Research Association; technology Research Association
会议录Advanced Materials Research
会议录出版者Trans Tech Publications Ltd
会议录出版地Zurich-Durnten, Switzerland
语种英语
ISSN号1022-6680
ISBN号978-3-03835-190-0
源URL[http://ir.sia.cn/handle/173321/15142]  
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
Ding XL,Zhu J,Liu C. Lagrangian relaxation algorithms for hybrid flow-shop scheduling problems with energy saving[C]. 见:3rd International Conference on Chemical Engineering, Metallurgical Engineering and Metallic Materials, CMMM 2014. Guilin, China. June 20-21, 2014.

入库方式: OAI收割

来源:沈阳自动化研究所

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