Deep reinforcement learning for dynamic scheduling of a flexible job shop
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Title
Deep reinforcement learning for dynamic scheduling of a flexible job shop
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume -, Issue -, Pages 1-21
Publisher
Informa UK Limited
Online
2022-04-11
DOI
10.1080/00207543.2022.2058432
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Note: Only part of the references are listed.- Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning
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- Adaptive job shop scheduling strategy based on weighted Q-learning algorithm
- (2018) Yu-Fang Wang JOURNAL OF INTELLIGENT MANUFACTURING
- A simulation-based study of dispatching rules in a dynamic job shop scheduling problem with batch release and extended technical precedence constraints
- (2017) Hegen Xiong et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- On the Robust and Stable Flowshop Scheduling Under Stochastic and Dynamic Disruptions
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