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Learning-Based Optimisation for Integrated Problems in Intermodal Freight Transport: Preliminaries, Strategies, and State of the Art
16 references·0 citing·56 second hop
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References

  • 2013Multimodal freight transportation planning: A literature review682 cited
  • 2008Transit network design and scheduling: A global review671 cited
  • 2022A review on reinforcement learning algorithms and applications in supply chain management359 cited
  • 2011Facility location dynamics: An overview of classifications and applications331 cited
  • 2018A unified framework for stochastic optimization319 cited
  • 2021A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization242 cited
  • 2021Deep reinforcement learning for inventory control: A roadmap238 cited
  • 2019A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems158 cited
  • 2014Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model129 cited
  • 2017Intermodal transport in freight distribution: a literature review121 cited
  • 2021Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks120 cited
  • 2019Integrated optimization of location, inventory and routing in supply chain network design116 cited
  • 2021Demand forecasting in supply chains: a review of aggregation and hierarchical approaches87 cited
  • 2021Algorithmic Approaches to Inventory Management Optimization81 cited

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  • 2022Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management67 cited
  • 2020Reinforcement learning framework for freight demand forecasting to support operational planning decisions65 cited
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