中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A novel Lagrangian relaxation level approach for scheduling steelmaking-refining-continuous casting production

文献类型:期刊论文

作者Pang Xinfu2; Gao Liang2; Pan Quanke2; Tian Weihua3; Yu Shengping1
刊名JOURNAL OF CENTRAL SOUTH UNIVERSITY
出版日期2017
卷号24期号:2页码:467-477
关键词APPROXIMATE SUBGRADIENT METHODS HYBRID FLOWSHOP ALGORITHM STEEL TIME OPTIMIZATION CONVERGENCE SYSTEM steelmaking-refining-continuous casting Lagrangian relaxation (LR) approximate subgradient optimization
ISSN号2095-2899
其他题名A novel Lagrangian relaxation level approach for scheduling steelmaking-refining-continuous casting production
英文摘要A Lagrangian relaxation (LR) approach was presented which is with machine capacity relaxation and operation precedence relaxation for solving a flexible job shop (FJS) scheduling problem from the steelmaking-refining-continuous casting process. Unlike the full optimization of LR problems in traditional LR approaches, the machine capacity relaxation is optimized asymptotically, while the precedence relaxation is optimized approximately due to the NP-hard nature of its LR problem. Because the standard subgradient algorithm (SSA) cannot solve the Lagrangian dual (LD) problem within the partial optimization of LR problem, an effective deflected-conditional approximate subgradient level algorithm (DCASLA) was developed, named as Lagrangian relaxation level approach. The efficiency of the DCASLA is enhanced by a deflected-conditional epsilon-subgradient to weaken the possible zigzagging phenomena. Computational results and comparisons show that the proposed methods improve significantly the efficiency of the LR approach and the DCASLA adopting capacity relaxation strategy performs best among eight methods in terms of solution quality and running time.
资助项目[National Natural Science Foundation of China] ; [Postdoctoral Science Foundation of China] ; [Liaoning Province Education Administration, China]
语种英语
CSCD记录号CSCD:5986060
源URL[http://ir.imr.ac.cn/handle/321006/142247]  
专题金属研究所_中国科学院金属研究所
作者单位1.东北大学
2.Huazhong University Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
3.中国科学院金属研究所
推荐引用方式
GB/T 7714
Pang Xinfu,Gao Liang,Pan Quanke,et al. A novel Lagrangian relaxation level approach for scheduling steelmaking-refining-continuous casting production[J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY,2017,24(2):467-477.
APA Pang Xinfu,Gao Liang,Pan Quanke,Tian Weihua,&Yu Shengping.(2017).A novel Lagrangian relaxation level approach for scheduling steelmaking-refining-continuous casting production.JOURNAL OF CENTRAL SOUTH UNIVERSITY,24(2),467-477.
MLA Pang Xinfu,et al."A novel Lagrangian relaxation level approach for scheduling steelmaking-refining-continuous casting production".JOURNAL OF CENTRAL SOUTH UNIVERSITY 24.2(2017):467-477.

入库方式: OAI收割

来源:金属研究所

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