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Dispatching heuristics for the single machine weighted quadratic tardiness scheduling problem
Valente, Jorge M. S.; Schaller, Jeffrey E. - In: Computers & operations research : and their … 39 (2012) 9, pp. 2223-2231
Persistent link: https://www.econbiz.de/10009506485
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Exact and heuristic procedures for single machine scheduling with quadratic earliness and tardiness penalties
Vilà, Mariona; Pereira, Jordi - In: Computers & operations research : and their … 40 (2013) 7, pp. 1819-1828
Persistent link: https://www.econbiz.de/10009760340
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A genetic algorithm approach for the single machine scheduling problem with linear earliness and quadratic tardiness penalties
Valente, Jorge M. S.; Gonçalves, José Fernando - In: Computers & operations research : and their … 36 (2009) 10, pp. 2707-2715
Persistent link: https://www.econbiz.de/10003906941
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Analysis of the simple assembly line balancing problem complexity
Álvarez-Miranda, Eduardo; Pereira, Jordi; Vilà, Mariona - In: Computers & operations research : and their … 159 (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10014455580
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Machine scheduling with orientation selection and two-dimensional packing for additive manufacturing
Che, Yuxin; Hu, Kanxin; Zhang, Zhenzhen; Lim, Andrew - In: Computers & operations research : and their … 130 (2021), pp. 1-14
Persistent link: https://www.econbiz.de/10012506552
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The robust (minmax regret) single machine scheduling with interval processing times and total weighted completion time objective
Pereira, Jordi - In: Computers & operations research : and their … 66 (2016), pp. 141-152
Persistent link: https://www.econbiz.de/10011429001
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Metaheuristics for the permutation flowshop problem with a weighted quadratic tardiness objective
Silva, Andreia F.; Valente, Jorge M. S.; Schaller, … - In: Computers & operations research : and their … 140 (2022), pp. 1-17
Persistent link: https://www.econbiz.de/10013173519
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Scheduling unrelated additive manufacturing machines with practical constraints
Hu, Kanxin; Che, Yuxin; Zhang, Zhenzhen - In: Computers & operations research : and their … 144 (2022), pp. 1-16
Persistent link: https://www.econbiz.de/10013264892