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International Journal of Production Research Volume 61, 2023 - Issue 6
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Research Articles

An effective memetic algorithm for the distributed flowshop scheduling problem with an assemble machine

Ying-Ying Huanga School of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai, P. R. People’s Republic of ChinaView further author information
,
Quan-Ke Pana School of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai, P. R. People’s Republic of China;b School of Computer Science, Liaocheng University, Liaocheng, P. R. People’s Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5022-7946View further author information
ORCID Icon &
Liang Gaoc State Key Lab of Digital Manufacturing Equipment & Technology in Huazhong University of Science & Technology, Wuhan, P. R. People’s Republic of ChinaView further author information
Pages 1755-1770 | Received 05 Jan 2021, Accepted 16 Feb 2022, Published online: 17 Mar 2022

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Biao Han, Quan-Ke Pan & Liang Gao. (2023) A cooperative iterated greedy algorithm for the serial distributed permutation flowshop scheduling problem. International Journal of Production Research 0:0, pages 1-28.
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Fuqing Zhao, Hui Zhang, Ling Wang, Tianpeng Xu, Ningning Zhu & Jonrinaldi Jonrinaldi. (2023) A multi-objective discrete differential evolution algorithm for energy-efficient distributed blocking flow shop scheduling problem. International Journal of Production Research 0:0, pages 1-19.
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Jun Dong & Chunming Ye. (2023) Joint optimisation of uncertain distributed manufacturing and preventive maintenance for semiconductor wafers considering multi-energy complementary. International Journal of Production Research 61:9, pages 3030-3051.
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Jiawen Deng, Jihui Zhang & Shengxiang Yang. A hybrid genetic programming algorithm for the distributed assembly scheduling problems with transportation and sequence-dependent setup times. Engineering Optimization 0:0, pages 1-27.
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Articles from other publishers (12)

Qiu-Ying Li, Quan-Ke Pan, Hong-Yan Sang, Xue-Lei Jing, Jose M. Framiñán & Wei-Min Li. (2024) Self-Adaptive Population-Based Iterated Greedy Algorithm for Distributed Permutation Flowshop Scheduling Problem with Part of Jobs Subject to a Common Deadline Constraint. Expert Systems with Applications 248, pages 123278.
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Fuqing Zhao, Changxue Zhuang, Ling Wang & Chenxin Dong. (2024) An Iterative Greedy Algorithm With Q -Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling . IEEE Transactions on Systems, Man, and Cybernetics: Systems 54:5, pages 3207-3219.
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Chuang Wang, Quan-Ke Pan, Hong-Yan Sang & Xue-Lei Jing. (2024) A cascaded flowshop joint scheduling problem with makespan minimization: A mathematical model and shifting iterated greedy algorithm. Swarm and Evolutionary Computation 86, pages 101489.
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Hamed Kazemi, Mustapha Nourelfath & Michel Gendreau. (2024) The multi-factory two-stage assembly scheduling problem. Journal of Industrial Information Integration 38, pages 100574.
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Long Cheng, Lei Wang & Jingcao Cai. (2024) A regional biogeography-based optimization algorithm for the distributed assembly permutation flow-shop scheduling problem with fuzzy processing time. Journal of Intelligent & Fuzzy Systems 46:2, pages 3827-3841.
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Jiaming Su, Yaping Fu, Kaizhou Gao, Hongyu Dong & Jianhui Mou. (2023) Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing. Swarm and Evolutionary Computation 83, pages 101373.
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Zhen Lin, Xue-Lei Jing & Bao-Xian Jia. (2023) An iterated greedy algorithm for distributed flowshops with tardiness and rejection costs to maximize total profit. Expert Systems with Applications 233, pages 120830.
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Xuan He, Quan-Ke Pan, Liang Gao & Janis S. Neufeld. (2023) An asymmetric traveling salesman problem based matheuristic algorithm for flowshop group scheduling problem. European Journal of Operational Research 310:2, pages 597-610.
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Songlin Du, Wenju Zhou, Dakui Wu & Minrui Fei. (2023) An effective discrete monarch butterfly optimization algorithm for distributed blocking flow shop scheduling with an assembly machine. Expert Systems with Applications 225, pages 120113.
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Xiaomeng Ma, Yaping Fu, Kaizhou Gao, Hui Zhang & Jianhui Mou. (2023) A knowledge-based multi-objective evolutionary algorithm for solving home health care routing and scheduling problems with multiple centers. Applied Soft Computing 144, pages 110491.
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Zhi-Yuan Wang, Quan-Ke Pan, Liang Gao, Xue-Lei Jing & Qing Sun. (2023) A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times. Swarm and Evolutionary Computation 79, pages 101320.
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Chengshuai Li, Biao Zhang, Yuyan Han, Yuting Wang, Junqing Li & Kaizhou Gao. (2022) Energy-Efficient Hybrid Flowshop Scheduling with Consistent Sublots Using an Improved Cooperative Coevolutionary Algorithm. Mathematics 11:1, pages 77.
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