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A deep multi-agent reinforcement learning approach to solve dynamic job shop scheduling problem
Liu, Renke; Piplani, Rajesh; Toro, Carlos - In: Computers & operations research : and their … 159 (2023), pp. 1-17
Persistent link: https://www.econbiz.de/10014455571
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Learning to schedule heuristics for the simultaneous stochastic optimization of mining complexes
Yaakoubi, Yassine; Dimitrakopoulos, Roussos - In: Computers & operations research : and their … 159 (2023), pp. 1-16
Persistent link: https://www.econbiz.de/10014455624
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An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents
Monaci, Marta; Agasucci, Valerio; Grani, Giorgio - In: European journal of operational research : EJOR 312 (2024) 3, pp. 910-926
Persistent link: https://www.econbiz.de/10014456446
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Learning and forgetting interactions within a collaborative human-centric manufacturing network
Asghari, Mohammad; Afshari, Hamid; Jaber, Mohamad Y.; … - In: European journal of operational research : EJOR 313 (2024) 3, pp. 977-991
Persistent link: https://www.econbiz.de/10014456664
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Reinforcement learning and stochastic dynamic programming for jointly scheduling jobs and preventive maintenance on a single machine to minimise earliness-tardiness
Sabri, Abderrazzak; Allaoui, Hamid; Souissi, Omar - In: International journal of production research 62 (2024) 3, pp. 705-719
Persistent link: https://www.econbiz.de/10014457580
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A spatial pyramid pooling-based deep reinforcement learning model for dynamic job-shop scheduling problem
Wu, Xinquan; Yan, Xuefeng - In: Computers & operations research : and their … 160 (2023), pp. 1-16
Persistent link: https://www.econbiz.de/10014434481
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A DRL based approach for adaptive scheduling of one-of-a-kind production
Wang, Teng; Hu, Xiaofeng; Zhang, Yahui - In: Computers & operations research : and their … 158 (2023), pp. 1-11
Persistent link: https://www.econbiz.de/10014446220
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A multi-objective reinforcement learning approach for resequencing scheduling problems in automotive manufacturing systems
Leng, Jinling; Wang, Xingyuan; Wu, Shiping; Jin, Chun; … - In: International journal of production research 61 (2023) 15, pp. 5156-5175
Persistent link: https://www.econbiz.de/10014381906
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Single-machine scheduling with product category-based learning and forgetting effects
Heuser, Patricia; Tauer, Björn F. - In: Omega : the international journal of management science 115 (2023), pp. 1-11
Persistent link: https://www.econbiz.de/10014304599
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Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning
Heger, Jens; Voss, Thomas - In: International journal of production research 61 (2023) 1, pp. 147-161
Persistent link: https://www.econbiz.de/10013530875