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Learning to Solve Vehicle Routing Problems: A Survey

Learning to Solve Vehicle Routing Problems: A Survey

5 May 2022
Aigerim Bogyrbayeva
Meraryslan Meraliyev
Taukekhan Mustakhov
Bissenbay Dauletbayev
ArXivPDFHTML

Papers citing "Learning to Solve Vehicle Routing Problems: A Survey"

20 / 20 papers shown
Title
Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application
Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application
Abdo Abouelrous
Laurens Bliea
A. Gabor
Yaoxin Wu
Yingqian Zhang
26
0
0
11 Apr 2025
A Coalition Game for On-demand Multi-modal 3D Automated Delivery System
A Coalition Game for On-demand Multi-modal 3D Automated Delivery System
Farzan Moosavi
Bilal Farooq
28
0
0
23 Dec 2024
Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization
  Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle
  Fleet
Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle Fleet
Elija Deineko
Carina Kehrt
22
1
0
07 Nov 2024
AlphaRouter: Quantum Circuit Routing with Reinforcement Learning and
  Tree Search
AlphaRouter: Quantum Circuit Routing with Reinforcement Learning and Tree Search
Wei Tang
Yiheng Duan
Yaroslav Kharkov
Rasool Fakoor
Eric Kessler
Yunong Shi
35
2
0
07 Oct 2024
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Federico Berto
Chuanbo Hua
Nayeli Gast Zepeda
André Hottung
N. Wouda
Leon Lan
Kevin Tierney
J. Park
Jinkyoo Park
48
10
0
21 Jun 2024
M^3RS: Multi-robot, Multi-objective, and Multi-mode Routing and
  Scheduling
M^3RS: Multi-robot, Multi-objective, and Multi-mode Routing and Scheduling
Ishaan Mehta
Junseo Kim
Sharareh Taghipour
Sajad Saeedi
16
0
0
24 Mar 2024
Self-Improvement for Neural Combinatorial Optimization: Sample without
  Replacement, but Improvement
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement
Jonathan Pirnay
D. G. Grimm
42
10
0
22 Mar 2024
GLOP: Learning Global Partition and Local Construction for Solving
  Large-scale Routing Problems in Real-time
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Haoran Ye
Jiarui Wang
Helan Liang
Zhiguang Cao
Yong Li
Fanzhang Li
21
31
0
13 Dec 2023
Routing Arena: A Benchmark Suite for Neural Routing Solvers
Routing Arena: A Benchmark Suite for Neural Routing Solvers
Daniela Thyssens
Tim Dernedde
Jonas K. Falkner
Lars Schmidt-Thieme
49
3
0
06 Oct 2023
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Haoran Ye
Jiarui Wang
Zhiguang Cao
Helan Liang
Yong Li
23
46
0
25 Sep 2023
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale
  Travelling Salesman Problem
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem
Zhang-Hua Fu
S. Sun
Jintong Ren
Tianshu Yu
Haoyu Zhang
Yuanyuan Liu
Lingxiao Huang
X. Yan
P. Lu
17
3
0
09 Aug 2023
A Neural Separation Algorithm for the Rounded Capacity Inequalities
A Neural Separation Algorithm for the Rounded Capacity Inequalities
Hyeon-Seob Kim
Jinkyoo Park
C. Kwon
36
6
0
29 Jun 2023
Learning to repeatedly solve routing problems
Learning to repeatedly solve routing problems
Mouad Morabit
G. Desaulniers
Andrea Lodi
15
3
0
15 Dec 2022
A Deep Reinforcement Learning Approach for Solving the Traveling
  Salesman Problem with Drone
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
Aigerim Bogyrbayeva. Taehyun Yoon
Taehyun Yoon
Hanbum Ko
Sungbin Lim
Hyokun Yun
C. Kwon
28
63
0
22 Dec 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 M. Zhang
62
85
0
06 Oct 2021
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated
  Vehicle Routing Problem
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
Jingwen Li
Yining Ma
Ruize Gao
Zhiguang Cao
Andrew Lim
Wen Song
Jie M. Zhang
115
113
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
75
129
0
06 Oct 2021
Deep Reinforcement Learning for Combinatorial Optimization: Covering
  Salesman Problems
Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems
Kaiwen Li
Tao Zhang
Yuheng Wang
Yi Han
BDL
66
64
0
11 Feb 2021
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent
  Reinforcement Learning Approach
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
Kecheng Zhang
Meng Li
Zhengchao Zhang
Xi Lin
Fang He
84
139
0
13 Feb 2020
On Learning Paradigms for the Travelling Salesman Problem
On Learning Paradigms for the Travelling Salesman Problem
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
73
33
0
16 Oct 2019
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