Deep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics

Published:2024-06-30 Issue: Volume:52 Page:1-8
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Cai Junchuang¹,Zhang Xinzhi¹,Lin Qiuzhen¹,Dong Lisha²,Chen Weineng³,Ming Zhong¹

Affiliation:

1. Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China,518060

2. Shenzhen Institute of Information Technology,College of Sino-German Robotics,Shenzhen,China

3. SSouth China University of Technology,College of Computer Science and Engineering,Guangzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10612190.pdf?arnumber=10612190

Reference51 articles.

1. Multiobjective Vehicle Routing Problems With Simultaneous Delivery and Pickup and Time Windows: Formulation, Instances, and Algorithms

2. The Truck Dispatching Problem

3. A survey of dynamic pickup and delivery problems

4. Efficiently Targeted Billboard Advertising Using Crowdsensing Vehicle Trajectory Data

5. Cell-Based Local Search Heuristics for Guide Path Design of Automated Guided Vehicle Systems With Dynamic Multicommodity Flow

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