Deep Reinforcement Learning for the Electric Vehicle Routing Problem With Time Windows-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for the Electric Vehicle Routing Problem With Time Windows

Published:2021 Issue: Volume: Page:1-11
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Lin Bo,Ghaddar Bissan,Nathwani Jatin

Funder

Energy Council of Canada Energy Policy Research Fellowship

NSERC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09520134.pdf?arnumber=9520134

Cited by 70 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Two-stage heuristic algorithm with pseudo node-based model for electric vehicle routing problem;Applied Soft Computing;2024-11

2. Planning approach for integrating charging stations and renewable energy sources in low-carbon logistics delivery;Applied Energy;2024-10

3. LogPath: Log data based energy consumption analysis enabling electric vehicle path optimization;Transportation Research Part D: Transport and Environment;2024-10

4. Evolving routing policies for electric vehicles by means of genetic programming;Applied Intelligence;2024-09-13

5. Deep Reinforcement Learning Enabled Multi-UAV Scheduling for Disaster Data Collection With Time-Varying Value;IEEE Transactions on Intelligent Transportation Systems;2024-07

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