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An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
15 July 2021
Bingjie Li
Guohua Wu
Yongming He
Mingfeng Fan
Witold Pedrycz
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Papers citing
"An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem"
33 / 33 papers shown
Title
REMS: a unified solution representation, problem modeling and metaheuristic algorithm design for general combinatorial optimization problems
Aijuan Song
Guohua Wu
17
0
0
21 May 2025
Learning to Reduce Search Space for Generalizable Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Qingfu Zhang
222
2
0
05 Mar 2025
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
198
6
0
01 Jun 2024
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
Jingwen Li
Yining Ma
Ruize Gao
Zhiguang Cao
Andrew Lim
Wen Song
Jie Zhang
157
120
0
06 Oct 2021
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
53
357
0
18 Feb 2021
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances
Zhang-Hua Fu
K. Qiu
H. Zha
TPM
66
176
0
19 Dec 2020
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
Liang Xin
Wen Song
Zhiguang Cao
Jie Zhang
72
156
0
19 Dec 2020
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
Bo Lin
Bissan Ghaddar
J. Nathwani
AI4TS
38
96
0
05 Oct 2020
Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention
Jonas K. Falkner
Lars Schmidt-Thieme
39
38
0
16 Jun 2020
A Particle Swarm Optimization hyper-heuristic for the Dynamic Vehicle Routing Problem
M. Okulewicz
Jacek Mańdziuk
28
3
0
15 Jun 2020
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
N. Vesselinova
Rebecca Steinert
Daniel F. Perez-Ramirez
Magnus Boman
GNN
AI4CE
61
145
0
22 May 2020
Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems
Yuan Sun
Andreas T. Ernst
Xiaodong Li
J. Weiner
44
38
0
12 May 2020
Learning Improvement Heuristics for Solving Routing Problems
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
Andrew Lim
72
292
0
12 Dec 2019
Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles
Jose Manuel Vera
Andres G. Abad
37
20
0
06 Dec 2019
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
Qiang Ma
Suwen Ge
Danyang He
D. Thaker
Iddo Drori
60
188
0
12 Nov 2019
On Learning Paradigms for the Travelling Salesman Problem
Chaitanya K. Joshi
T. Laurent
Xavier Bresson
107
33
0
16 Oct 2019
How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem
Antoine François
Quentin Cappart
Louis-Martin Rousseau
24
13
0
28 Sep 2019
A concise guide to existing and emerging vehicle routing problem variants
Thibaut Vidal
G. Laporte
Piotr Matl
32
237
0
16 Jun 2019
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen
Yuandong Tian
NAI
OffRL
106
345
0
30 Sep 2018
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
125
1,874
0
01 Aug 2018
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
106
1,202
0
22 Mar 2018
Learning Generalized Reactive Policies using Deep Neural Networks
E. Groshev
Maxwell Goldstein
Aviv Tamar
Siddharth Srivastava
Pieter Abbeel
41
120
0
24 Aug 2017
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
103
1,460
0
05 Apr 2017
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
143
1,483
0
29 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
356
7,955
0
17 Aug 2015
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
115
3,048
0
09 Jun 2015
A Review of Relational Machine Learning for Knowledge Graphs
Maximilian Nickel
Kevin Patrick Murphy
Volker Tresp
E. Gabrilovich
154
1,572
0
02 Mar 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
316
10,050
0
10 Feb 2015
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
95
5,578
0
07 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
507
27,263
0
01 Sep 2014
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
224
16,336
0
30 Apr 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
106
3,002
0
19 Jul 2012
Machine Learning that Matters
K. Wagstaff
96
312
0
18 Jun 2012
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