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More MILP models for hybrid flow shop scheduling problem and its extended problems
Meng, Leilei; Zhang, Chaoyong; Shao, Xinyu; Zhang, Biao; … - In: International journal of production research 58 (2020) 13, pp. 3905-3930
Persistent link: https://www.econbiz.de/10012265988
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A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
Li, Yingli; Li, Xinyu; Gao, Liang; Zhang, Biao; Pan, Quan Ke - In: International journal of production research 59 (2021) 13, pp. 3880-3899
Persistent link: https://www.econbiz.de/10012589253
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Decomposition-based multi-objective approach for a green hybrid flowshop rescheduling problem with consistent sublots
Wang, Weiwei; Zhang, Biao; Jiang, Xuchu; Jia, Baoxian; … - In: International journal of production research 62 (2024) 21, pp. 7904-7932
Persistent link: https://www.econbiz.de/10015095298
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A novel collaborative iterative greedy algorithm for hybrid flowshop scheduling problem with batch processing machines and variable sublots
Li, Chengshuai; Han, Yuyan; Zhang, Biao; Wang, Yuting; … - In: International journal of production research 62 (2024) 11, pp. 4076-4096
Persistent link: https://www.econbiz.de/10014547208
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Automatic design of constructive heuristics for a reconfigurable distributed flowshop group scheduling problem
Zhang, Biao; Meng, Leilei; Lu, Chao; Han, Yu-Yan; Sang, … - In: Computers & operations research : an international journal 161 (2024), pp. 1-24
Persistent link: https://www.econbiz.de/10014557816
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A decomposition-based multi-objective evolutionary algorithm for hybrid flowshop rescheduling problem with consistent sublots
Zhang, Biao; Pan, Quan Ke; Meng, Lei-lei; Zhang, Xin-li; … - In: International journal of production research 61 (2023) 3, pp. 1013-1038
Persistent link: https://www.econbiz.de/10014226882
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Optimising distributed heterogeneous flowshop group scheduling arising from PCB mounting : integrating construction and improvement heuristics
Han, Zhenduo; Zhang, Biao; Sang, Hongyan; Lu, Chao; … - In: International journal of production research 63 (2025) 5, pp. 1753-1778
Persistent link: https://www.econbiz.de/10015421546