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Vehicle routing problems (VRPs), which can be found in numerous real-world applications, have been an important research topic for several decades.
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Alex Kendall, Yarin Gal, and Roberto Cipolla. 2018 · 2018
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Wouter Kool, Herke Van Hoof, and Max Welling. 2018 · 2018
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Tianyu Zhu, Xinli Shi, Xiangping Xu, and Jinde Cao. 2023 · 2018
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Xinyun Chen and Yuandong Tian. 2019 · 2019
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Neural large neighborhood search for the capacitated vehicle routing problem
André Hottung and Kevin Tierney. 2019 · 2019
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Towards faster vehicle routing by transferring knowledge from customer representation
Liang Feng, Yuxiao Huang, Ivor W Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, and Yew-Soon Ong. 2020 · 2020
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Learning to solve routing problems via distributionally robust optimization. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 36. 9786–9794
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Chaitanya K Joshi, Quentin Cappart, Louis-Martin Rousseau, and Thomas Laurent. 2022 · 2022
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Deep policy dynamic programming for vehicle routing problems. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 19th International Conference, CPAIOR 2022, Los Angeles, CA, USA, June 20-23, 2022, Proceedings . Springer, 190–213
Wouter Kool, Herke van Hoof, Joaquim Gromicho, and Max Welling. 2022 · 2022
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A concise guide to existing and emerging vehicle routing problem variants
Thibaut Vidal, Gilbert Laporte, and Piotr Matl. 2020 · 2020
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A hybrid of deep reinforcement learning and local search for the vehicle routing problems
Jiuxia Zhao, Minjia Mao, Xi Zhao, and Jianhua Zou. 2020 · 2020
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Machine learning for combinatorial optimization: a methodological tour d’horizon
Yoshua Bengio, Andrea Lodi, and Antoine Prouvost. 2021 · 2021
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Generalize a small pre-trained model to arbitrarily large tsp instances. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 35. 7474–7482
Zhang-Hua Fu, Kai-Bin Qiu, and Hongyuan Zha. 2021 · 2021
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Deep reinforcement learning for solving the heterogeneous capacitated vehicle routing problem
Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, and Jie Zhang. 2021a · 2021
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Heterogeneous attentions for solving pickup and delivery problem via deep reinforcement learning
Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, and Jie Zhang. 2021b · 2021
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Efficient implementation of the genetic algorithm to solve rich vehicle routing problems
Bochra Rabbouch, Foued Saâdaoui, and Rafaa Mraihi. 2021 · 2021
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An overview and experimental study of learning-based optimization algorithms for the vehicle routing problem
Bingjie Li, Guohua Wu, Yongming He, Mingfeng Fan, and Witold Pedrycz. 2022 · 2022
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On the Generalization of Neural Combinatorial Optimization Heuristics. In Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part V . Springer, 426–442
Sahil Manchanda, Sofia Michel, Darko Drakulic, and Jean-Marc Andreoli. 2023 · 2022
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Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems
Zizhen Zhang, Zhiyuan Wu, Hang Zhang, and Jiahai Wang. 2022 · 2022
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Analytics and machine learning in vehicle routing research
Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, et al · 2023
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Select and Optimize: Learning to solve large-scale TSP instances. In Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (Proceedings of Machine Learning Research, Vol. 206) , Francisco Ruiz, Jennifer Dy, and Jan-Willem van de Meent (Eds.). PMLR, 1219–1231
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Darko Drakulic, Sofia Michel, Florian Mai, Arnaud Sors, and Jean-Marc Andreoli. 2023 · 2023
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VRPSolverEasy: a Python library for the exact solution of a rich vehicle routing problem
Najib Errami, Eduardo Queiroga, Ruslan Sadykov, and Eduardo Uchoa. 2023 · 2023
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Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, and Chao Qian. 2023 · 2023
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H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem. In AAAI 2023
Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, and Jiang Bian. 2023 · 2023
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Efficient Training of Multi-task Neural Solver with Multi-armed Bandits
Chenguang Wang and Tianshu Yu. 2023 · 2023
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Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. In the 40th International Conference on Machine Learning (ICML 2023)
Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, and Jie Zhang. 2023 · 2023
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