Real-Time Scheduling for Dynamic Partial-No-Wait Multiobjective Flexible Job Shop by Deep Reinforcement Learning
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Title
Real-Time Scheduling for Dynamic Partial-No-Wait Multiobjective Flexible Job Shop by Deep Reinforcement Learning
Authors
Keywords
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Journal
IEEE Transactions on Automation Science and Engineering
Volume 19, Issue 4, Pages 3020-3038
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2021-08-25
DOI
10.1109/tase.2021.3104716
References
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Note: Only part of the references are listed.- Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning
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- Flexible job-shop scheduling/rescheduling in dynamic environment: a hybrid MAS/ACO approach
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- Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion
- (2016) Kai Zhou Gao et al. KNOWLEDGE-BASED SYSTEMS
- A fast estimation of distribution algorithm for dynamic fuzzy flexible job-shop scheduling problem
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- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
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- A hybrid genetic algorithm and tabu search for a multi-objective dynamic job shop scheduling problem
- (2013) Liping Zhang et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A flexible dispatching rule for minimizing tardiness in job shop scheduling
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