Improving graph convolutional networks with reinforcement learning for pure electric logistics vehicle routing-Reference-Cited by-同舟云学术

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Improving graph convolutional networks with reinforcement learning for pure electric logistics vehicle routing

Published:2024-02-14 Issue: Volume:140 Page:104
ISSN:
Container-title:International Conference on Smart Transportation and City Engineering (STCE 2023)
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Author:

Zhu Wenying,Yan Ruixue

Publisher

SPIE

Reference10 articles.

1. Integrated electric logistics vehicle recharging station location-routing problem with mixed backhauls and recharging strategies;Yang;Transp. Res. Pt. C-Emerg. Technol,2022

2. Optimizing electric vehicle routing problems with mixed backhauls and recharging strategies in multi-dimensional representation network

3. Ant_VRP: ant-colony-based meta-heuristic algorithm to solve the vehicle routing problem

4. Solving the integrated process planning and scheduling problem using an enhanced constraint programming-based approach

5. Solving Optimization Problems Through Fully Convolutional Networks: An Application to the Traveling Salesman Problem

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