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Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

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
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
Yubin Xiao
Di Wang
Boyang Albert Li
Huan Chen
Wei Pang
Xuan Wu
Haoqiang Li
Dong Xu
Yanchun Liang
You Zhou
183
6
0
01 Aug 2023
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as
  Sequential Generation with Equity Context
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity ContextAAAI Conference on Artificial Intelligence (AAAI), 2023
Jiwoo Son
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jinkyoo Park
178
18
0
05 Jun 2023
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided
  Exploration for Mitigating Scale Shift on Combinatorial Optimization
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial OptimizationInternational Conference on Machine Learning (ICML), 2023
Jiwoo Son
Minsu Kim
Hyeon-Seob Kim
Jinkyoo Park
163
28
0
05 Jun 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Towards Omni-generalizable Neural Methods for Vehicle Routing ProblemsInternational Conference on Machine Learning (ICML), 2023
Jianan Zhou
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
201
74
0
31 May 2023
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the
  Traveling Salesman Problem
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman ProblemAAAI Conference on Artificial Intelligence (AAAI), 2023
Yan Jin
Yuandong Ding
Xuanhao Pan
Kun He
Li Zhao
Tao Qin
Lei Song
Jiang Bian
119
60
0
19 Apr 2023
H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman
  Problem
H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman ProblemAAAI Conference on Artificial Intelligence (AAAI), 2023
Xuanhao Pan
Yan Jin
Yuandong Ding
Ming Feng
Li Zhao
Lei Song
Jiang Bian
121
66
0
19 Apr 2023
Unsupervised Learning for Solving the Travelling Salesman Problem
Unsupervised Learning for Solving the Travelling Salesman ProblemNeural Information Processing Systems (NeurIPS), 2023
Yimeng Min
Yiwei Bai
Daniel Schwalbe-Koda
OT
134
54
0
19 Mar 2023
ASP: Learn a Universal Neural Solver!
ASP: Learn a Universal Neural Solver!IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Chenguang Wang
Zhouliang Yu
Alexander Shmakov
Tianshu Yu
Yao-Chun Yang
AAML
140
33
0
01 Mar 2023
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground
  Handling
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground HandlingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jianan Zhou
Yaoxin Wu
Zhiguang Cao
Wen Song
Jie Zhang
Zhenghua Chen
AI4TS
152
33
0
27 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial OptimizationNeural Information Processing Systems (NeurIPS), 2023
Zhiqing Sun
Yiming Yang
DiffM
238
189
0
16 Feb 2023
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial
  Optimization
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationNeural Information Processing Systems (NeurIPS), 2023
Darko Drakulic
Sofia Michel
Florian Mai
Arnaud Sors
J. Andreoli
OffRL
228
66
0
09 Jan 2023
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop
  Scheduling
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop SchedulingInternational Conference on Learning Representations (ICLR), 2022
Cong Zhang
Zhiguang Cao
Wen Song
Puay Siew Tan
Jie Zhang
113
20
0
20 Nov 2022
Learning Generalizable Models for Vehicle Routing Problems via Knowledge
  Distillation
Learning Generalizable Models for Vehicle Routing Problems via Knowledge DistillationNeural Information Processing Systems (NeurIPS), 2022
Jieyi Bi
Yining Ma
Jiahai Wang
Zhiguang Cao
Jinbiao Chen
Yuan Sun
Yeow Meng Chee
176
74
0
14 Oct 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization
  Problems
DIMES: A Differentiable Meta Solver for Combinatorial Optimization ProblemsNeural Information Processing Systems (NeurIPS), 2022
Ruizhong Qiu
Zhiqing Sun
Yiming Yang
167
120
0
08 Oct 2022
Winner Takes It All: Training Performant RL Populations for
  Combinatorial Optimization
Winner Takes It All: Training Performant RL Populations for Combinatorial OptimizationNeural Information Processing Systems (NeurIPS), 2022
Nathan Grinsztajn
Daniel Furelos-Blanco
Shikha Surana
Matthew Macfarlane
Thomas D. Barrett
201
48
0
07 Oct 2022
Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward
Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence RewardAsian 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
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman ProblemIEEE Computational Intelligence Magazine (IEEE CIM), 2022
Shengcai Liu
Yu Zhang
Shengcai Liu
Xin Yao
211
56
0
22 Sep 2022
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep
  Reinforcement Learning
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
0
13 Sep 2022
Attention, Filling in The Gaps for Generalization in Routing Problems
Attention, Filling in The Gaps for Generalization in Routing Problems
Ahmad Bdeir
Jonas K. Falkner
Lars Schmidt-Thieme
105
12
0
14 Jul 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization
Simulation-guided Beam Search for Neural Combinatorial OptimizationNeural Information Processing Systems (NeurIPS), 2022
Jinho Choo
Yeong-Dae Kwon
Jihoon Kim
Jeongwoo Jae
André Hottung
Kevin Tierney
Youngjune Gwon
172
90
0
13 Jul 2022
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman
  Problems
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman ProblemsKnowledge-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
Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs
Nathalie Paul
Tim Wirtz
Stefan Wrobel
Alexander Kister
81
2
0
13 Jun 2022
A Deep Reinforcement Learning Framework For Column Generation
A Deep Reinforcement Learning Framework For Column GenerationNeural Information Processing Systems (NeurIPS), 2022
Cheng Chi
A. Aboussalah
Elias Boutros Khalil
Juyoung Wang
Zoha Sherkat-Masoumi
167
31
0
03 Jun 2022
On the Generalization of Neural Combinatorial Optimization Heuristics
On the Generalization of Neural Combinatorial Optimization Heuristics
S. Manchanda
Sofia Michel
Darko Drakulic
J. Andreoli
123
28
0
01 Jun 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial OptimizationNeural Information Processing Systems (NeurIPS), 2022
Minsu Kim
Junyoung Park
Jinkyoo Park
196
116
0
26 May 2022
Offline Vehicle Routing Problem with Online Bookings: A Novel Problem
  Formulation with Applications to Paratransit
Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to ParatransitInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Amutheezan Sivagnanam
S. U. Kadir
Ayan Mukhopadhyay
Philip Pugliese
Abhishek Dubey
Samitha Samaranayake
Aron Laszka
OffRL
114
10
0
25 Apr 2022
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Efficient Neural Neighborhood Search for Pickup and Delivery ProblemsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Yining Ma
Jingwen Li
Zhiguang Cao
Wen Song
Hongliang Guo
Yuejiao Gong
Yeow Meng Chee
205
44
0
25 Apr 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive
  Curriculum
Learning to Solve Travelling Salesman Problem with Hardness-adaptive CurriculumAAAI Conference on Artificial Intelligence (AAAI), 2022
Zeyang Zhang
Ziwei Zhang
Xin Eric Wang
Wenwu Zhu
93
56
0
07 Apr 2022
Pareto Set Learning for Neural Multi-objective Combinatorial
  Optimization
Pareto Set Learning for Neural Multi-objective Combinatorial OptimizationInternational Conference on Learning Representations (ICLR), 2022
Xi Lin
Zhiyuan Yang
Qingfu Zhang
184
86
0
29 Mar 2022
Combining Reinforcement Learning and Optimal Transport for the Traveling
  Salesman Problem
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
Yong Liang Goh
W. Lee
Xavier Bresson
T. Laurent
Nicholas Lim
OT
85
11
0
02 Mar 2022
Learning to Solve Routing Problems via Distributionally Robust
  Optimization
Learning to Solve Routing Problems via Distributionally Robust OptimizationAAAI Conference on Artificial Intelligence (AAAI), 2022
Yuan Jiang
Yaoxin Wu
Zhiguang Cao
Jie Zhang
OOD
93
49
0
15 Feb 2022
Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective
Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective
Ziwei Zhang
Xin Eric Wang
Zeyang Zhang
Peng Cui
Wenwu Zhu
3DPC
100
0
0
23 Dec 2021
Learning Collaborative Policies to Solve NP-hard Routing Problems
Learning Collaborative Policies to Solve NP-hard Routing Problems
Minsu Kim
Jinkyoo Park
Joungho Kim
116
137
0
26 Oct 2021
Generalization of Neural Combinatorial Solvers Through the Lens of
  Adversarial Robustness
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial RobustnessInternational Conference on Learning Representations (ICLR), 2021
Simon Geisler
Johanna Sommer
Jan Schuchardt
Aleksandar Bojchevski
Stephan Günnemann
AAML
89
45
0
21 Oct 2021
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun
  Heuristic for Solving the Traveling Salesman Problem
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
Liang Xin
Wen Song
Zhiguang Cao
Jie Zhang
101
144
0
15 Oct 2021
Graph Neural Network Guided Local Search for the Traveling Salesperson
  Problem
Graph Neural Network Guided Local Search for the Traveling Salesperson ProblemInternational Conference on Learning Representations (ICLR), 2021
Benjamin H. Hudson
Qingbiao Li
Matthew Malencia
Amanda Prorok
163
83
0
11 Oct 2021
Heterogeneous Attentions for Solving Pickup and Delivery Problem via
  Deep Reinforcement Learning
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning
Jingwen Li
Liang Xin
Zhiguang Cao
Andrew Lim
Wen Song
Jie Zhang
158
105
0
06 Oct 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect
  Collaborative Transformer
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
237
168
0
06 Oct 2021
Guidelines for the Computational Testing of Machine Learning approaches
  to Vehicle Routing Problems
Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems
L. Accorsi
Andrea Lodi
D. Vigo
109
31
0
28 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Tianyu Wang
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CMLOOD
300
606
0
31 Aug 2021
Incorporating Surprisingly Popular Algorithm and Euclidean
  Distance-based Adaptive Topology into PSO
Incorporating Surprisingly Popular Algorithm and Euclidean Distance-based Adaptive Topology into PSOSwarm and Evolutionary Computation (Swarm Evol. Comput.), 2021
Xuan Wu
Jizong Han
Dian Wang
Pengyue Gao
Quanlong Cui
...
Han Huang
Heow Pueh Lee
Chunyan Miao
You Zhou
Chunguo Wu
159
52
0
25 Aug 2021
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary
  Learning for Multiobjective Optimization
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective OptimizationIEEE International Joint Conference on Neural Network (IJCNN), 2021
Yongxin Zhang
Jiahai Wang
Zizhen Zhang
Yalan Zhou
164
25
0
16 Jul 2021
An Overview and Experimental Study of Learning-based Optimization
  Algorithms for Vehicle Routing Problem
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing ProblemIEEE/CAA Journal of Automatica Sinica (IEEE/CAA J. Autom. Sinica), 2021
Bingjie Li
Guohua Wu
Yongming He
Mingfeng Fan
Witold Pedrycz
158
81
0
15 Jul 2021
Learning to Delegate for Large-scale Vehicle Routing
Learning to Delegate for Large-scale Vehicle RoutingNeural Information Processing Systems (NeurIPS), 2021
Sirui Li
Zhongxia Yan
Cathy Wu
118
139
0
08 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
DiffM
442
1,240
0
07 Jul 2021
Matrix Encoding Networks for Neural Combinatorial Optimization
Matrix Encoding Networks for Neural Combinatorial OptimizationNeural Information Processing Systems (NeurIPS), 2021
Yeong-Dae Kwon
Jinho Choo
Iljoo Yoon
Minah Park
Duwon Park
Youngjune Gwon
173
121
0
21 Jun 2021
Efficient Active Search for Combinatorial Optimization Problems
Efficient Active Search for Combinatorial Optimization ProblemsInternational Conference on Learning Representations (ICLR), 2021
André Hottung
Yeong-Dae Kwon
Kevin Tierney
171
104
0
09 Jun 2021
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery ProblemsIEEE International Conference on Data Engineering (ICDE), 2021
Xijun Li
Weilin Luo
Mingxuan Yuan
Jun Wang
Jiawen Lu
Jie Wang
Jinhu Lu
Jia Zeng
101
44
0
27 May 2021
The Transformer Network for the Traveling Salesman Problem
The Transformer Network for the Traveling Salesman Problem
Xavier Bresson
T. Laurent
140
100
0
04 Mar 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems
Deep Policy Dynamic Programming for Vehicle Routing ProblemsIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2021
W. Kool
H. V. Hoof
J. Gromicho
Max Welling
169
142
0
23 Feb 2021
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