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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"

34 / 134 papers shown
Title
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP*
  Neighborhood
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood
Thibaut Vidal
84
184
0
23 Nov 2020
POMO: Policy Optimization with Multiple Optima for Reinforcement
  Learning
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
Yeong-Dae Kwon
Jinho Choo
Byoungjip Kim
Iljoo Yoon
Youngjune Gwon
Seungjai Min
127
347
0
30 Oct 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement
  Learning
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang
Wen Song
Zhiguang Cao
Jie Zhang
Puay Siew Tan
Chi Xu
143
318
0
23 Oct 2020
Learning to Optimise General TSP Instances
Learning to Optimise General TSP Instances
N. Sultana
Jeffrey Chan
•. A. K. Qin
Tabinda Sarwar
98
13
0
23 Oct 2020
Deep Reinforcement Learning for Electric Vehicle Routing Problem with
  Time Windows
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
Bo Lin
Bissan Ghaddar
J. Nathwani
AI4TS
76
98
0
05 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
217
626
0
10 Sep 2020
Learning to Solve Vehicle Routing Problems with Time Windows through
  Joint Attention
Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention
Jonas K. Falkner
Lars Schmidt-Thieme
41
38
0
16 Jun 2020
Learning the Travelling Salesperson Problem Requires Rethinking
  Generalization
Learning the Travelling Salesperson Problem Requires Rethinking Generalization
Chaitanya K. Joshi
Quentin Cappart
Louis-Martin Rousseau
T. Laurent
254
121
0
12 Jun 2020
Learning to Solve Combinatorial Optimization Problems on Real-World
  Graphs in Linear Time
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time
Iddo Drori
Anant Kharkar
William R. Sickinger
Brandon Kates
Qiang Ma
Suwen Ge
Eden Dolev
Brenda L Dietrich
David P. Williamson
Madeleine Udell
74
83
0
06 Jun 2020
Generalization of Machine Learning for Problem Reduction: A Case Study
  on Travelling Salesman Problems
Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems
Yuan Sun
Andreas T. Ernst
Xiaodong Li
J. Weiner
79
38
0
12 May 2020
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep
  Reinforcement Learning
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning
P. Costa
Jason Rhuggenaath
Yingqian Zhang
A. Akçay
97
143
0
03 Apr 2020
Reinforcement Learning for Combinatorial Optimization: A Survey
Reinforcement Learning for Combinatorial Optimization: A Survey
Nina Mazyavkina
S. Sviridov
Sergei Ivanov
Evgeny Burnaev
140
625
0
07 Mar 2020
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
163
149
0
13 Feb 2020
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using
  Decomposition and Attention Model for Multiobjective Optimization
MODRL/D-AM: Multiobjective Deep Reinforcement Learning Algorithm Using Decomposition and Attention Model for Multiobjective Optimization
Hong Wu
Jiahai Wang
Zizhen Zhang
52
23
0
13 Feb 2020
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model
  for Vehicle Routing Problems
A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems
Bo Peng
Jiahai Wang
Zizhen Zhang
61
76
0
09 Feb 2020
Learning Improvement Heuristics for Solving Routing Problems
Learning Improvement Heuristics for Solving Routing Problems
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
Andrew Lim
101
299
0
12 Dec 2019
Neural Large Neighborhood Search for the Capacitated Vehicle Routing
  Problem
Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
André Hottung
Kevin Tierney
93
149
0
21 Nov 2019
Combinatorial Optimization by Graph Pointer Networks and Hierarchical
  Reinforcement Learning
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
Qiang Ma
Suwen Ge
Danyang He
D. Thaker
Iddo Drori
72
190
0
12 Nov 2019
On Learning Paradigms for the Travelling Salesman Problem
On Learning Paradigms for the Travelling Salesman Problem
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
145
33
0
16 Oct 2019
How to Evaluate Machine Learning Approaches for Combinatorial
  Optimization: Application to the Travelling Salesman Problem
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem
Antoine François
Quentin Cappart
Louis-Martin Rousseau
62
13
0
28 Sep 2019
Deep Reinforcement Learning for Multi-objective Optimization
Deep Reinforcement Learning for Multi-objective Optimization
Kaiwen Li
Tao Zhang
Rui Wang
AI4CE
85
273
0
06 Jun 2019
An Efficient Graph Convolutional Network Technique for the Travelling
  Salesman Problem
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
GNN
104
377
0
04 Jun 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
157
1,405
0
15 Nov 2018
Learning to Perform Local Rewriting for Combinatorial Optimization
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen
Yuandong Tian
NAIOffRL
155
352
0
30 Sep 2018
Learning to Solve NP-Complete Problems - A Graph Neural Network for
  Decision TSP
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP
Marcelo O. R. Prates
Pedro H. C. Avelar
Henrique Lemos
Luís C. Lamb
Moshe Y. Vardi
GNN
74
179
0
08 Sep 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
137
1,236
0
22 Mar 2018
Reinforcement Learning for Solving the Vehicle Routing Problem
Reinforcement Learning for Solving the Vehicle Routing Problem
M. Nazari
Afshin Oroojlooy
L. Snyder
Martin Takáč
127
911
0
12 Feb 2018
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
629
2,262
0
25 Jul 2017
The Reversible Residual Network: Backpropagation Without Storing
  Activations
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan Gomez
Mengye Ren
R. Urtasun
Roger C. Grosse
81
553
0
14 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
927
133,201
0
12 Jun 2017
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
137
1,483
0
05 Apr 2017
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
172
1,499
0
29 Nov 2016
Divide and Conquer Networks
Divide and Conquer Networks
Alex W. Nowak
David Folqué
Joan Bruna
161
22
0
08 Nov 2016
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
186
3,068
0
09 Jun 2015
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