Container port truck dispatching optimization using Real2Sim based deep reinforcement learning
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Publication:6554614
DOI10.1016/J.EJOR.2023.11.038MaRDI QIDQ6554614
Ruibin Bai, Rong Qu, Tianxiang Cui, Jiahuan Jin
Publication date: 13 June 2024
Published in: European Journal of Operational Research (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- A multiple objective transportation problem approach to dynamic truck dispatching in surface mines
- Mixed integer programming models for dispatching vehicles at a container terminal
- Machine learning for combinatorial optimization: a methodological tour d'horizon
- Berth allocation and quay crane assignment/scheduling problem under uncertainty: a survey
- Combining mixed integer programming and constraint programming to solve the integrated scheduling problem of container handling operations of a single vessel
- Constraint programming models for integrated container terminal operations
- Integrated scheduling of crane handling and truck transportation in a maritime container terminal
- Modeling and solution of the joint quay crane and truck scheduling problem
- Reinforcement learning for combinatorial optimization: a survey
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