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A general view of big data and machine learning
Görçün, Özhan; Küçükönder, Hande - In: Logistics 4.0 and future of supply chains, (pp. 49-61). 2022
Persistent link: https://www.econbiz.de/10012820109
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Dynamic set-up rules for hybrid flow shop scheduling with parallel batching machines
Rossi, Andrea; Pandolfi, Andrea; Lanzetta, Michele - In: International journal of production research 52 (2014) 13, pp. 3842-3857
Persistent link: https://www.econbiz.de/10010382874
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Bi-objective scheduling on two dedicated processors
Kacem, Adel; Dammak, Abdelaziz - In: European journal of industrial engineering : EJIE 13 (2019) 5, pp. 681-700
Persistent link: https://www.econbiz.de/10012144488
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Scheduling twin robots in a palletising problem
Thomasson, Oliver; Battarra, Maria; Erdoğan, Güneş; … - In: International journal of production research 56 (2018) 1/2, pp. 518-542
Persistent link: https://www.econbiz.de/10011876621
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An adaptive penalty guided genetic algorithm for scheduling parallel batch processing machines
Xu, Shubin - In: International journal of applied management science 10 (2018) 3, pp. 247-268
Persistent link: https://www.econbiz.de/10011969051
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A method combining rules with genetic algorithm for minimizing makespan on a batch processing machine with preventive maintenance
Huang, Jingying; Wang, Liya; Jiang, Zhibin - In: International journal of production research 58 (2020) 13, pp. 4086-4102
Persistent link: https://www.econbiz.de/10012266009
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Evaluation of a hybrid genetic tabu search framework on job shop scheduling benchmark problems
Meeran, S.; Morshed, M. S. - In: International journal of production research 52 (2014) 19, pp. 5780-5798
Persistent link: https://www.econbiz.de/10010424871
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A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling
Shady, Salama; Kaihara, Toshiya; Fujii, Nobutada; … - In: International journal of production research 60 (2022) 13, pp. 4025-4048
Persistent link: https://www.econbiz.de/10013499329
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Real time selection of scheduling rules and knowledge extraction via dynamically controlled data mining
Metan, Gokhan; Sabuncuoglu, Ihsan; Pierreval, Henri - In: International journal of production research 48 (2010) 23/24, pp. 6909-6938
Persistent link: https://www.econbiz.de/10008758951
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Learning dispatching rules for single machine scheduling with dynamic arrivals based on decision trees and feature construction
Jun, Sungbum; Lee, Seokcheon - In: International journal of production research 59 (2021) 9, pp. 2838-2856
Persistent link: https://www.econbiz.de/10012516264