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Multiple-source learning precedence graph concept for the automotive industry
Otto, Christian; Otto, Alena - In: European journal of operational research : EJOR 234 (2014) 1, pp. 253-265
Persistent link: https://www.econbiz.de/10010248238
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Effective learning hyper-heuristics for the course timetabling problem
Soria-Alcaraz, Jorge A.; Ochoa, Gabriela; Carpio, Martin; … - In: European journal of operational research : EJOR 238 (2014) 1, pp. 77-86
Persistent link: https://www.econbiz.de/10010398842
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Lenovo schedules laptop manufacturing using deep reinforcement learning
Liang, Yi; Sun, Zan; Song, Tianheng; Chou, Qiang; Fan, Wei - In: INFORMS journal on applied analytics 52 (2022) 1, pp. 56-68
Persistent link: https://www.econbiz.de/10012818041
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Reinforcement learning for combinatorial optimization : a survey
Mazyavkina, Nina; Sviridov, Sergey; Ivanov, Sergei; … - In: Computers & operations research : and their … 134 (2021), pp. 1-15
Persistent link: https://www.econbiz.de/10012649515
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A reinforcement learning approach to the orienteering problem with time windows
Gama, Ricardo; Fernandes, Hugo L. - In: Computers & operations research : and their … 133 (2021), pp. 1-14
Persistent link: https://www.econbiz.de/10012591201
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Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles
Brammer, Janis; Lutz, Bernhard; Neumann, Dirk - In: OR spectrum : quantitative approaches in management 44 (2022) 1, pp. 29-56
Persistent link: https://www.econbiz.de/10013172601
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Learning driven three-phase search for the maximum independent union of cliques problem
Lu, Zhi; Gao, Jian; Hao, Jin-Kao; Yang, Pingle; Zhou, Lixin - In: Computers & operations research : an international journal 164 (2024), pp. 1-16
Persistent link: https://www.econbiz.de/10014563034
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A multi-agent deep reinforcement learning approach for solving the multi-depot vehicle routing problem
Arishi, Ali; Krishnan, Krishna K. - In: Journal of management analytics 10 (2023) 3, pp. 493-515
Persistent link: https://www.econbiz.de/10014330649
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Meituan's real-time intelligent dispatching algorithms build the world's largest minute-level delivery network
Liang, Yile; Luo, Haocheng; Duan, Haining; Li, Donghui; … - In: INFORMS journal on applied analytics 54 (2024) 1, pp. 84-101
Persistent link: https://www.econbiz.de/10014487123
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Opportunities for reinforcement learning in stochastic dynamic vehicle routing
Hildebrandt, Florentin D.; Thomas, Barrett W.; Ulmer, … - In: Computers & operations research : and their … 150 (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10013483616