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A genetic algorithm for flexible job shop scheduling with fuzzy processing time
Lei, Deming - In: International journal of production research 48 (2010) 10/12, pp. 2995-3013
Persistent link: https://www.econbiz.de/10003975628
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A novel teaching-learning-based optimization algorithm for energy-efficient scheduling in hybrid flow shop
Lei, Deming; Gao, Liang; Zheng, Youlian - In: IEEE transactions on engineering management : EM 65 (2018) 2, pp. 330-340
Persistent link: https://www.econbiz.de/10011876821
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Cooperated teaching-learning-based optimisation for distributed two-stage assembly flow shop scheduling
Lei, Deming; Su, Bin; Li, Ming - In: International journal of production research 59 (2021) 23, pp. 7232-7245
Persistent link: https://www.econbiz.de/10012697496
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An improved artificial bee colony for multi-objective distributed unrelated parallel machine scheduling
Lei, Deming; Yuan, Yue; Cai, Jingcao - In: International journal of production research 59 (2021) 17, pp. 5259-5271
Persistent link: https://www.econbiz.de/10012625853
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A shuffled frog-leaping algorithm with memeplex quality for bi-objective distributed scheduling in hybrid flow shop
Cai, Jingcao; Lei, Deming; Li, Ming - In: International journal of production research 59 (2021) 18, pp. 5404-5421
Persistent link: https://www.econbiz.de/10012625906
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An adaptive artificial bee colony for hybrid flow shop scheduling with batch processing machines in casting process
Wang, Jing; Lei, Deming; Tang, Hongtao - In: International journal of production research 62 (2024) 13, pp. 4793-4808
Persistent link: https://www.econbiz.de/10014547410
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A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling
Cai, Jingcao; Lei, Deming; Wang, Jing; Wang, Lei - In: International journal of production research 61 (2023) 4, pp. 1233-1251
Persistent link: https://www.econbiz.de/10014226993