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Scheduling unrelated parallel batch processing machines with non-identical job sizes
Li, XiaoLin; Huang, YanLi; Tan, Qi; Chen, Huaping - In: Computers & operations research : and their … 40 (2013) 12, pp. 2983-2990
Persistent link: https://www.econbiz.de/10010210730
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Minimising makespan on a single batch processing machine with dynamic job arrivals and non-identical job sizes
Zhou, Shengchao; Chen, Huaping; Xu, Rui; Li, Xueping - In: International journal of production research 52 (2014) 8, pp. 2258-2274
Persistent link: https://www.econbiz.de/10010349466
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A hybrid differential evolution algorithm for a two-stage flow shop on batch processing machines with arbitrary release times and blocking
Chen, Huaping; Zhou, Shengchao; Li, Xueping; Xu, Rui - In: International journal of production research 52 (2014) 19, pp. 5714-5734
Persistent link: https://www.econbiz.de/10010424980
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Minimizing makespan in a no-wait flowshop with two batch processing machines using estimation of distribution algorithm
Zhou, Shengchao; Li, Xueping; Chen, Huaping; Guo, Cong - In: International journal of production research 54 (2016) 15/16, pp. 4919-4937
Persistent link: https://www.econbiz.de/10011519022
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A multi-objective differential evolution algorithm for parallel batch processing machine scheduling considering electricity consumption cost
Zhou, Shengchao; Li, XiaoLin; Du, Ni; Pang, Yan; Chen, … - In: Computers & operations research : and their … 96 (2018), pp. 55-68
Persistent link: https://www.econbiz.de/10011870449
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An effective discrete differential evolution algorithm for scheduling uniform parallel batch processing machines with non-identical capacities and arbitrary job sizes
Zhou, Shengchao; Liu, Ming; Chen, Huaping; Li, Xueping - In: International journal of production economics 179 (2016), pp. 1-11
Persistent link: https://www.econbiz.de/10011532242
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Quantum-inspired ant colony optimisation algorithm for a two-stage permutation flow shop with batch processing machines
Chen, Zhen; Zheng, Xu; Zhou, Shengchao; Liu, Chuang; … - In: International journal of production research 58 (2020) 19, pp. 5945-5963
Persistent link: https://www.econbiz.de/10012315347