Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

1 June 2024

Papers citing "Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives"

17 / 17 papers shown

Title
Neural Combinatorial Optimization for Real-World Routing Jiwoo Son Zhikai Zhao Federico Berto Chuanbo Hua C. Kwon J. Park 36 0 0 20 Mar 2025
Multi-Agent Environments for Vehicle Routing Problems Ricardo Gama Daniel Fuertes Carlos R. del-Blanco Hugo L. Fernandes AI4CE 67 0 0 21 Nov 2024
All You Need is an Improving Column: Enhancing Column Generation for Parallel Machine Scheduling via Transformers Amira Hijazi Osman Ozaltin Reha Uzsoy 24 0 0 21 Oct 2024
Moco: A Learnable Meta Optimizer for Combinatorial Optimization Tim Dernedde Daniela Thyssens Soren Dittrich Maximilan Stubbemann Lars Schmidt-Thieme 31 3 0 07 Feb 2024
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization Nathan Grinsztajn Daniel Furelos-Blanco Shikha Surana Clément Bonnet Thomas D. Barrett 24 14 0 07 Oct 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem Shengcai Liu Yu Zhang K. Tang Xin Yao 28 28 0 22 Sep 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Minsu Kim Junyoung Park Jinkyoo Park 34 54 0 26 May 2022
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning Jingwen Li Liang Xin Zhiguang Cao Andrew Lim Wen Song Jie M. Zhang 27 64 0 06 Oct 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer Yining Ma Jingwen Li Zhiguang Cao Wen Song Le Zhang Zhenghua Chen Jing Tang 44 92 0 06 Oct 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem Bingjie Li Guohua Wu Yongming He Mingfeng Fan Witold Pedrycz 22 45 0 15 Jul 2021
Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems Kaiwen Li Tao Zhang Yuheng Wang Yi Han BDL 39 47 0 11 Feb 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 130 2,327 0 14 Dec 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie M. Zhang Puay Siew Tan Chi Xu 22 228 0 23 Oct 2020
Learning to Optimise General TSP Instances N. Sultana Jeffrey Chan •. A. K. Qin Tabinda Sarwar 19 11 0 23 Oct 2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach Kecheng Zhang Meng Li Zhengchao Zhang Xi Lin Fang He 23 116 0 13 Feb 2020
On Learning Paradigms for the Travelling Salesman Problem Chaitanya K. Joshi T. Laurent Xavier Bresson 30 33 0 16 Oct 2019
Neural Combinatorial Optimization with Reinforcement Learning Irwan Bello Hieu H. Pham Quoc V. Le Mohammad Norouzi Samy Bengio 45 1,304 0 29 Nov 2016