A bi-evolutionary cooperative multi-objective algorithm for blocking group flow shop with outsourcing option
In this study, a multi-objective blocking group flow shop scheduling problem with outsourcing option (BGFSP_OO) is addressed, where three objectives, including makespan, total energy consumption (TEC) and outsourcing cost, are considered simultaneously. To solve the BGFSP_OO, a bi-evolutionary coope...
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| Published in | Expert systems with applications Vol. 258; p. 125101 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
15.12.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0957-4174 |
| DOI | 10.1016/j.eswa.2024.125101 |
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| Abstract | In this study, a multi-objective blocking group flow shop scheduling problem with outsourcing option (BGFSP_OO) is addressed, where three objectives, including makespan, total energy consumption (TEC) and outsourcing cost, are considered simultaneously. To solve the BGFSP_OO, a bi-evolutionary cooperative multi-objective algorithm (BECMOA) is proposed. First, a machine switching strategy based on machine idle and blocking time is used in the decoding part to optimize the objective value TEC. Then, an effective heuristic for classifying outsourcing groups is proposed. To balance convergence and diversity abilities, a bi-evolutionary mechanism is proposed. The particle swarm optimization algorithm based on the gravity factor (IPSO) is employed, which exploiting individual performance, can enhance the convergence ability. Cross evolutionary search (CES) strategy is developed which can improve search ability, aiming to ensure diversity of solutions and access to more non-dominated solutions. Finally, the experimental results show that BECMOA is effective in solving BGFSP_OO compared to the state-of-the-art methods. |
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| AbstractList | In this study, a multi-objective blocking group flow shop scheduling problem with outsourcing option (BGFSP_OO) is addressed, where three objectives, including makespan, total energy consumption (TEC) and outsourcing cost, are considered simultaneously. To solve the BGFSP_OO, a bi-evolutionary cooperative multi-objective algorithm (BECMOA) is proposed. First, a machine switching strategy based on machine idle and blocking time is used in the decoding part to optimize the objective value TEC. Then, an effective heuristic for classifying outsourcing groups is proposed. To balance convergence and diversity abilities, a bi-evolutionary mechanism is proposed. The particle swarm optimization algorithm based on the gravity factor (IPSO) is employed, which exploiting individual performance, can enhance the convergence ability. Cross evolutionary search (CES) strategy is developed which can improve search ability, aiming to ensure diversity of solutions and access to more non-dominated solutions. Finally, the experimental results show that BECMOA is effective in solving BGFSP_OO compared to the state-of-the-art methods. |
| ArticleNumber | 125101 |
| Author | Zheng, Zhixin Zhang, Yuanyuan Li, Jiake Li, Junqing Xu, Ying Gao, Kaizhou Wang, Xinrui |
| Author_xml | – sequence: 1 givenname: Xinrui surname: Wang fullname: Wang, Xinrui email: 2210170116@stu.lcu.edu.cn organization: School of Computer, Liaocheng University, Liaocheng 252059, China – sequence: 2 givenname: Junqing surname: Li fullname: Li, Junqing email: lijunqing@lcu-cs.com organization: Department of Mathematics, Yunnan Normal University, Kunming, Yunnan 650500, China – sequence: 3 givenname: Yuanyuan surname: Zhang fullname: Zhang, Yuanyuan email: 2110170103@stu.lcu.edu.cn organization: School of Computer, Liaocheng University, Liaocheng 252059, China – sequence: 4 givenname: Kaizhou surname: Gao fullname: Gao, Kaizhou email: gaokaizhou@lcu-cs.com organization: Institute of Systems Engineering, Macau University of Science and Technology, Taipa 999078, Macao – sequence: 5 givenname: Zhixin surname: Zheng fullname: Zheng, Zhixin email: zhengzhixin@lcu-cs.com organization: School of Computer, Liaocheng University, Liaocheng 252059, China – sequence: 6 givenname: Jiake surname: Li fullname: Li, Jiake email: D22125957@mytudublin.ie organization: Department of Mathematics, Yunnan Normal University, Kunming, Yunnan 650500, China – sequence: 7 givenname: Ying surname: Xu fullname: Xu, Ying email: xuying@hx.cn organization: School of Information Engineering, HengXing University, Qingdao 266199, China |
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| Keywords | Blocking group flow shop scheduling Multi-objective Outsourcing option Co-evolutionary algorithm |
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