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2406.00415
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Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
1 June 2024
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
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Papers citing
"Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives"
50 / 139 papers shown
Title
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
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Wei Pang
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Haoqiang Li
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Yanchun Liang
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Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context
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Jiwoo Son
Minsu Kim
Sanghyeok Choi
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Jinkyoo Park
178
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05 Jun 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization
International Conference on Machine Learning (ICML), 2023
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Minsu Kim
Hyeon-Seob Kim
Jinkyoo Park
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05 Jun 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
International Conference on Machine Learning (ICML), 2023
Jianan Zhou
Yaoxin Wu
Wen Song
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Jie Zhang
201
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31 May 2023
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem
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Yuandong Ding
Xuanhao Pan
Kun He
Li Zhao
Tao Qin
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Jiang Bian
119
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19 Apr 2023
H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xuanhao Pan
Yan Jin
Yuandong Ding
Ming Feng
Li Zhao
Lei Song
Jiang Bian
121
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19 Apr 2023
Unsupervised Learning for Solving the Travelling Salesman Problem
Neural Information Processing Systems (NeurIPS), 2023
Yimeng Min
Yiwei Bai
Daniel Schwalbe-Koda
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134
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19 Mar 2023
ASP: Learn a Universal Neural Solver!
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Chenguang Wang
Zhouliang Yu
Alexander Shmakov
Tianshu Yu
Yao-Chun Yang
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140
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01 Mar 2023
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jianan Zhou
Yaoxin Wu
Zhiguang Cao
Wen Song
Jie Zhang
Zhenghua Chen
AI4TS
152
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27 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Neural Information Processing Systems (NeurIPS), 2023
Zhiqing Sun
Yiming Yang
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16 Feb 2023
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization
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Darko Drakulic
Sofia Michel
Florian Mai
Arnaud Sors
J. Andreoli
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228
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09 Jan 2023
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
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Cong Zhang
Zhiguang Cao
Wen Song
Puay Siew Tan
Jie Zhang
113
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20 Nov 2022
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
Neural Information Processing Systems (NeurIPS), 2022
Jieyi Bi
Yining Ma
Jiahai Wang
Zhiguang Cao
Jinbiao Chen
Yuan Sun
Yeow Meng Chee
176
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14 Oct 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Neural Information Processing Systems (NeurIPS), 2022
Ruizhong Qiu
Zhiqing Sun
Yiming Yang
167
120
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08 Oct 2022
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
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Nathan Grinsztajn
Daniel Furelos-Blanco
Shikha Surana
Matthew Macfarlane
Thomas D. Barrett
201
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07 Oct 2022
Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward
Asian Conference on Computer Vision (ACCV), 2022
Yunlong Tang
Siting Xu
Teng Wang
Qin Lin
Qinglin Lu
Feng Zheng
VOS
191
12
0
25 Sep 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem
IEEE Computational Intelligence Magazine (IEEE CIM), 2022
Shengcai Liu
Yu Zhang
Shengcai Liu
Xin Yao
211
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0
22 Sep 2022
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning
Rongkai Zhang
Cong Zhang
Zhiguang Cao
Wen Song
Puay Siew Tan
Jie Zhang
Bihan Wen
Justin Dauwels
96
32
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13 Sep 2022
Attention, Filling in The Gaps for Generalization in Routing Problems
Ahmad Bdeir
Jonas K. Falkner
Lars Schmidt-Thieme
105
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0
14 Jul 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization
Neural Information Processing Systems (NeurIPS), 2022
Jinho Choo
Yeong-Dae Kwon
Jihoon Kim
Jeongwoo Jae
André Hottung
Kevin Tierney
Youngjune Gwon
172
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13 Jul 2022
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems
Knowledge-Based Systems (KBS), 2022
Jiongzhi Zheng
Kun He
Jianrong Zhou
Yan Jin
ChuMin Li
78
39
0
08 Jul 2022
Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs
Nathalie Paul
Tim Wirtz
Stefan Wrobel
Alexander Kister
81
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13 Jun 2022
A Deep Reinforcement Learning Framework For Column Generation
Neural Information Processing Systems (NeurIPS), 2022
Cheng Chi
A. Aboussalah
Elias Boutros Khalil
Juyoung Wang
Zoha Sherkat-Masoumi
167
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03 Jun 2022
On the Generalization of Neural Combinatorial Optimization Heuristics
S. Manchanda
Sofia Michel
Darko Drakulic
J. Andreoli
123
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01 Jun 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Neural Information Processing Systems (NeurIPS), 2022
Minsu Kim
Junyoung Park
Jinkyoo Park
196
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26 May 2022
Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Amutheezan Sivagnanam
S. U. Kadir
Ayan Mukhopadhyay
Philip Pugliese
Abhishek Dubey
Samitha Samaranayake
Aron Laszka
OffRL
114
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25 Apr 2022
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Yining Ma
Jingwen Li
Zhiguang Cao
Wen Song
Hongliang Guo
Yuejiao Gong
Yeow Meng Chee
205
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25 Apr 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum
AAAI Conference on Artificial Intelligence (AAAI), 2022
Zeyang Zhang
Ziwei Zhang
Xin Eric Wang
Wenwu Zhu
93
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07 Apr 2022
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
International Conference on Learning Representations (ICLR), 2022
Xi Lin
Zhiyuan Yang
Qingfu Zhang
184
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0
29 Mar 2022
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
Yong Liang Goh
W. Lee
Xavier Bresson
T. Laurent
Nicholas Lim
OT
85
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02 Mar 2022
Learning to Solve Routing Problems via Distributionally Robust Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yuan Jiang
Yaoxin Wu
Zhiguang Cao
Jie Zhang
OOD
93
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15 Feb 2022
Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective
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Xin Eric Wang
Zeyang Zhang
Peng Cui
Wenwu Zhu
3DPC
100
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Learning Collaborative Policies to Solve NP-hard Routing Problems
Minsu Kim
Jinkyoo Park
Joungho Kim
116
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0
26 Oct 2021
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
International Conference on Learning Representations (ICLR), 2021
Simon Geisler
Johanna Sommer
Jan Schuchardt
Aleksandar Bojchevski
Stephan Günnemann
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0
21 Oct 2021
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
Liang Xin
Wen Song
Zhiguang Cao
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101
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15 Oct 2021
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
International Conference on Learning Representations (ICLR), 2021
Benjamin H. Hudson
Qingbiao Li
Matthew Malencia
Amanda Prorok
163
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Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning
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Liang Xin
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Andrew Lim
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158
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Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
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Jingwen Li
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Wen Song
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Zhenghua Chen
Jing Tang
237
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Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems
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Andrea Lodi
D. Vigo
109
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0
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Towards Out-Of-Distribution Generalization: A Survey
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Zheyan Shen
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Xingxuan Zhang
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Incorporating Surprisingly Popular Algorithm and Euclidean Distance-based Adaptive Topology into PSO
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159
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MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization
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Zizhen Zhang
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164
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An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
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Guohua Wu
Yongming He
Mingfeng Fan
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158
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Learning to Delegate for Large-scale Vehicle Routing
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Structured Denoising Diffusion Models in Discrete State-Spaces
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Matrix Encoding Networks for Neural Combinatorial Optimization
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Iljoo Yoon
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173
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Efficient Active Search for Combinatorial Optimization Problems
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Yeong-Dae Kwon
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Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems
IEEE International Conference on Data Engineering (ICDE), 2021
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Weilin Luo
Mingxuan Yuan
Jun Wang
Jiawen Lu
Jie Wang
Jinhu Lu
Jia Zeng
101
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The Transformer Network for the Traveling Salesman Problem
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T. Laurent
140
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Deep Policy Dynamic Programming for Vehicle Routing Problems
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H. V. Hoof
J. Gromicho
Max Welling
169
142
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