Efficiently Solving the Practical Vehicle Routing Problem

Author:

Duan Lu1,Zhan Yang1,Hu Haoyuan1,Gong Yu2,Wei Jiangwen1,Zhang Xiaodong1,Xu Yinghui1

Affiliation:

1. Zhejiang Cainiao Supply Chain Management Co. Ltd, HangZhou, China

2. Alibaba Group, HangZhou, China

Publisher

ACM

Reference36 articles.

Cited by 53 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. A scalable learning approach for the capacitated vehicle routing problem;Computers & Operations Research;2024-11

2. Learned Unmanned Vehicle Scheduling for Large-Scale Urban Logistics;IEEE Transactions on Intelligent Transportation Systems;2024-07

3. Optimizing Long-Term Efficiency and Fairness in Ride-Hailing Under Budget Constraint via Joint Order Dispatching and Driver Repositioning;IEEE Transactions on Knowledge and Data Engineering;2024-07

4. Machine Learning to Solve Vehicle Routing Problems: A Survey;IEEE Transactions on Intelligent Transportation Systems;2024-06

5. Learning to Augment Graphs: Machine-Learning-Based Social Network Intervention With Self-Supervision;IEEE Transactions on Computational Social Systems;2024-06

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