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Neural Large Neighborhood Search for the Capacitated Vehicle Routing
  Problem
v1v2 (latest)

Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem

21 November 2019
André Hottung
Kevin Tierney
ArXiv (abs)PDFHTML

Papers citing "Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem"

41 / 91 papers shown
Title
Searching Large Neighborhoods for Integer Linear Programs with
  Contrastive Learning
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
Taoan Huang
Aaron Ferber
Yuandong Tian
B. Dilkina
Benoit Steiner
89
29
0
03 Feb 2023
Digital Twin Applications in Urban Logistics: An Overview
Digital Twin Applications in Urban Logistics: An Overview
Abdo Abouelrous
Laurens Bliek
Yingqian Zhang
AI4CE
61
16
0
01 Feb 2023
Local Branching Relaxation Heuristics for Integer Linear Programs
Local Branching Relaxation Heuristics for Integer Linear Programs
Taoan Huang
Aaron Ferber
Yuandong Tian
B. Dilkina
Benoit Steiner
64
5
0
15 Dec 2022
Online Control of Adaptive Large Neighborhood Search using Deep
  Reinforcement Learning
Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement Learning
Robbert Reijnen
Yingqian Zhang
H. Lau
Zaharah Bukhsh
44
2
0
01 Nov 2022
Learning Generalizable Models for Vehicle Routing Problems via Knowledge
  Distillation
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
Jieyi Bi
Yining Ma
Jiahai Wang
Zhiguang Cao
Jinbiao Chen
Yuan Sun
Yeow Meng Chee
107
60
0
14 Oct 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization
  Problems
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu
Zhiqing Sun
Yiming Yang
113
90
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 Optimization
Nathan Grinsztajn
Daniel Furelos-Blanco
Shikha Surana
Clément Bonnet
Thomas D. Barrett
124
34
0
07 Oct 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 Problem
Shengcai Liu
Yu Zhang
K. Tang
Xin Yao
171
42
0
22 Sep 2022
A Deep Reinforcement Learning-based Adaptive Charging Policy for WRSNs
A Deep Reinforcement Learning-based Adaptive Charging Policy for WRSNs
Ngoc H. Bui
Phi Le Nguyen
Viet Anh Nguyen
Phan-Thuan Do
22
6
0
16 Aug 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization
Simulation-guided Beam Search for Neural Combinatorial Optimization
Jinho Choo
Yeong-Dae Kwon
Jihoon Kim
Jeongwoo Jae
André Hottung
Kevin Tierney
Youngjune Gwon
93
72
0
13 Jul 2022
Learning to Control Local Search for Combinatorial Optimization
Learning to Control Local Search for Combinatorial Optimization
Jonas K. Falkner
Daniela Thyssens
Ahmad Bdeir
Lars Schmidt-Thieme
82
18
0
27 Jun 2022
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic
  vehicle routing problems
Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems
Minjun Kim
Junyoung Park
Jinkyoo Park
76
2
0
06 Jun 2022
Neural Improvement Heuristics for Graph Combinatorial Optimization
  Problems
Neural Improvement Heuristics for Graph Combinatorial Optimization Problems
Andoni I. Garmendia
Josu Ceberio
A. Mendiburu
113
4
0
01 Jun 2022
Sample-Efficient, Exploration-Based Policy Optimisation for Routing
  Problems
Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems
N. Sultana
Jeffrey Chan
Tabinda Sarwar
•. A. K. Qin
50
1
0
31 May 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim
Junyoung Park
Jinkyoo Park
149
90
0
26 May 2022
Learning to Solve Vehicle Routing Problems: A Survey
Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva
Meraryslan Meraliyev
Taukekhan Mustakhov
Bissenbay Dauletbayev
83
25
0
05 May 2022
Large Neighborhood Search based on Neural Construction Heuristics
Large Neighborhood Search based on Neural Construction Heuristics
Jonas K. Falkner
Daniela Thyssens
Lars Schmidt-Thieme
AI4TS
39
3
0
02 May 2022
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Efficient Neural Neighborhood Search for Pickup and Delivery Problems
Yining Ma
Jingwen Li
Zhiguang Cao
Wen Song
Hongliang Guo
Yuejiao Gong
Yeow Meng Chee
96
41
0
25 Apr 2022
Path Planning Algorithms for Robotic Aquaculture Monitoring
Path Planning Algorithms for Robotic Aquaculture Monitoring
Anthony Davis
Srijita Mukherjee
P. Wills
B. Ouyang
46
2
0
20 Apr 2022
Learning to Schedule Heuristics for the Simultaneous Stochastic
  Optimization of Mining Complexes
Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes
Yassine Yaakoubi
R. Dimitrakopoulos
68
10
0
25 Feb 2022
Learning to Solve Routing Problems via Distributionally Robust
  Optimization
Learning to Solve Routing Problems via Distributionally Robust Optimization
Yuan Jiang
Yaoxin Wu
Zhiguang Cao
Jie Zhang
OOD
73
41
0
15 Feb 2022
The First AI4TSP Competition: Learning to Solve Stochastic Routing
  Problems
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems
Laurens Bliek
P. Costa
Reza Refaei Afshar
Yingqian Zhang
Tom Catshoek
...
Ricardo Gama
Hugo L. Fernandes
Martin Zaefferer
Manuel López-Ibánez
Ekhine Irurozki
65
7
0
25 Jan 2022
Supervised Permutation Invariant Networks for Solving the CVRP with
  Bounded Fleet Size
Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size
Daniela Thyssens
Jonas K. Falkner
Lars Schmidt-Thieme
SSL
39
2
0
05 Jan 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
82
70
0
22 Dec 2021
Revisiting local branching with a machine learning lens
Revisiting local branching with a machine learning lens
De-You Liu
M. Fischetti
Andrea Lodi
67
1
0
03 Dec 2021
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey
  of Techniques and Trends
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends
Lingying Huang
Xiaomeng Chen
Wei Huo
Jiazheng Wang
Fan Zhang
Bo Bai
Ling Shi
57
24
0
05 Nov 2021
Learning Large Neighborhood Search Policy for Integer Programming
Learning Large Neighborhood Search Policy for Integer Programming
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
86
44
0
01 Nov 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
74
115
0
26 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
52
113
0
15 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
168
140
0
06 Oct 2021
Learning Enhanced Optimisation for Routing Problems
Learning Enhanced Optimisation for Routing Problems
N. Sultana
Jeffrey Chan
Tabinda Sarwar
B. Abbasi
•. A. K. Qin
34
3
0
17 Sep 2021
Learning a Large Neighborhood Search Algorithm for Mixed Integer
  Programs
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs
Nicolas Sonnerat
Pengming Wang
Ira Ktena
Sergey Bartunov
Vinod Nair
97
48
0
21 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 Problem
Bingjie Li
Guohua Wu
Yongming He
Mingfeng Fan
Witold Pedrycz
114
70
0
15 Jul 2021
Learning to Delegate for Large-scale Vehicle Routing
Learning to Delegate for Large-scale Vehicle Routing
Sirui Li
Zhongxia Yan
Cathy Wu
77
117
0
08 Jul 2021
Matrix Encoding Networks for Neural Combinatorial Optimization
Matrix Encoding Networks for Neural Combinatorial Optimization
Yeong-Dae Kwon
Jinho Choo
Iljoo Yoon
Minah Park
Duwon Park
Youngjune Gwon
108
97
0
21 Jun 2021
Efficient Active Search for Combinatorial Optimization Problems
Efficient Active Search for Combinatorial Optimization Problems
André Hottung
Yeong-Dae Kwon
Kevin Tierney
88
97
0
09 Jun 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems
Deep Policy Dynamic Programming for Vehicle Routing Problems
W. Kool
H. V. Hoof
J. Gromicho
Max Welling
115
124
0
23 Feb 2021
Analytics and Machine Learning in Vehicle Routing Research
Analytics and Machine Learning in Vehicle Routing Research
Ruibin Bai
Xinan Chen
Zhi-Long Chen
Tianxiang Cui
Shuhui Gong
...
Zhengyong Lu
Jianfeng Ren
Paul Weng
Ning Xue
Huayan Zhang
107
81
0
19 Feb 2021
Solving Mixed Integer Programs Using Neural Networks
Solving Mixed Integer Programs Using Neural Networks
Vinod Nair
Sergey Bartunov
Felix Gimeno
Ingrid von Glehn
Pawel Lichocki
...
Pushmeet Kohli
Ira Ktena
Yujia Li
Oriol Vinyals
Yori Zwols
216
251
0
23 Dec 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
A General Large Neighborhood Search Framework for Solving Integer Linear
  Programs
A General Large Neighborhood Search Framework for Solving Integer Linear Programs
Jialin Song
Ravi Lanka
Yisong Yue
B. Dilkina
118
22
0
29 Mar 2020
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