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Research Article

Bi-objective optimization using an improved NSGA-II for energy-efficient scheduling of a distributed assembly blocking flowshop

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Pages 719-740 | Received 31 Aug 2021, Accepted 30 Dec 2021, Published online: 24 Jun 2022

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Yahong Liu, Xingquan Zuo, Xiaodong Li & Shaokang Nie. (2023) A genetic algorithm with trip-adjustment strategy for multi-depot electric bus scheduling problems. Engineering Optimization 0:0, pages 1-20.
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Articles from other publishers (4)

Min Kong, Peng Wu, Yajing Zhang, Weizhong Wang, Muhammet Deveci & Seifedine Kadry. (2024) Energy-efficient scheduling model and method for assembly blocking permutation flow-shop in industrial robotics field. Artificial Intelligence Review 57:3.
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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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Yadian Geng & Junqing Li. (2023) An Improved Hyperplane Assisted Multiobjective Optimization for Distributed Hybrid Flow Shop Scheduling Problem in Glass Manufacturing Systems. Computer Modeling in Engineering & Sciences 134:1, pages 241-266.
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Yang Liu, Xiaofeng Wang, Yun Zhang & Li Liu. (2023) An Integrated Flow Shop Scheduling Problem of Preventive Maintenance and Degradation With an Improved NSGA-II Algorithm. IEEE Access 11, pages 3525-3544.
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