Adaptive population NSGA-III with dual control strategy for flexible job shop scheduling problem with the consideration of energy consumption and weight | |
Wu, Mingliang3,4; Yang DS(杨东升)3,4; Zhou BW(周博文)3,4; Yang ZL(杨之乐)2; Liu, Tianyi3,4; Li LG(李力刚)1; Wang ZF(王忠锋)1; Hu KY(胡琨元)1 | |
刊名 | Machines |
2021 | |
卷号 | 9期号:12页码:1-24 |
关键词 | Dual control strategy Energy consumption Flexible job shop scheduling problem Makespan NSGA-III |
ISSN号 | 2075-1702 |
产权排序 | 4 |
英文摘要 | The flexible job shop scheduling problem has always been the focus of research in the manufacturing field. However, most of the previous studies focused more on efficiency and ignored energy consumption. Energy, especially non-renewable energy, is an essential factor affecting the sustainable development of a country. To this end, this paper designs a flexible job shop scheduling problem model with energy consideration more in line with the production field. Except for the processing stage, the energy consumption of the transport, set up, unload, and idle stage are also included in our model. The weight property of jobs is also considered in our model. The heavier the job, the more energy it consumes during the transport, set up, and unload stage. Meanwhile, this paper invents an adaptive population non-dominated sorting genetic algorithm III (APNSGA-III) that combines the dual control strategy with the non-dominated sorting genetic algorithm III (NSGA-III) to solve our flexible job shop scheduling problem model. Four flexible job shop scheduling problem instances are formulated to examine the performance of our algorithm. The results achieved by the APNSGA-III method are compared with five classic multi-objective optimization algorithms. The results show that our proposed algorithm is efficient and powerful when dealing with the multi-objective flexible job shop scheduling problem model that includes energy consumption. |
资助项目 | National Key R&D Program of China[2018YFB1700500] ; National Science Foundation of China[52077213] ; National Science Foundation of China[62003332] |
WOS关键词 | GENETIC ALGORITHM ; MULTIOBJECTIVE OPTIMIZATION |
WOS研究方向 | Engineering |
语种 | 英语 |
WOS记录号 | WOS:000738102900001 |
资助机构 | National Key R&D Program of China grant number [2018YFB1700500] ; National Science Foundation of China under grant number [52077213 and 62003332] ; National Key R&D Program of China grant number [2018YFB1700500] ; National Science Foundation of China under grants number [52077213 and 62003332] |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/30231] |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
通讯作者 | Yang ZL(杨之乐) |
作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110169, China 2.Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China 3.Intelligent Electrical Science and Technology Research Institute, Northeastern University, Shenyang, 110819, China 4.Key Laboratory of Integrated Energy Optimization and Secure Operation of Liaoning Province, Northeastern University, Shenyang, 110819, China |
推荐引用方式 GB/T 7714 | Wu, Mingliang,Yang DS,Zhou BW,et al. Adaptive population NSGA-III with dual control strategy for flexible job shop scheduling problem with the consideration of energy consumption and weight[J]. Machines,2021,9(12):1-24. |
APA | Wu, Mingliang.,Yang DS.,Zhou BW.,Yang ZL.,Liu, Tianyi.,...&Hu KY.(2021).Adaptive population NSGA-III with dual control strategy for flexible job shop scheduling problem with the consideration of energy consumption and weight.Machines,9(12),1-24. |
MLA | Wu, Mingliang,et al."Adaptive population NSGA-III with dual control strategy for flexible job shop scheduling problem with the consideration of energy consumption and weight".Machines 9.12(2021):1-24. |
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