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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"

50 / 91 papers shown
Title
Latent Guided Sampling for Combinatorial Optimization
Latent Guided Sampling for Combinatorial Optimization
Sobihan Surendran
Adeline Fermanian
Sylvain Le Corff
BDLOffRL
76
0
0
04 Jun 2025
Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
Yuanyao Chen
Rongsheng Chen
Fu Luo
Zhenkun Wang
65
0
0
03 Jun 2025
Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization
Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization
Yiding Shi
Jianan Zhou
Wen Song
Jieyi Bi
Yaoxin Wu
Jie Zhang
76
0
0
27 May 2025
Learning to Insert for Constructive Neural Vehicle Routing Solver
Learning to Insert for Constructive Neural Vehicle Routing Solver
Fu Luo
Xi Lin
Mengyuan Zhong
Fei Liu
Zhenkun Wang
Jianyong Sun
Qingfu Zhang
80
0
0
20 May 2025
USPR: Learning a Unified Solver for Profiled Routing
USPR: Learning a Unified Solver for Profiled Routing
Chuanbo Hua
Federico Berto
Zhikai Zhao
Jiwoo Son
Changhyun Kwon
Jinkyoo Park
97
0
0
08 May 2025
The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration
The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration
Jae Hyeok Lee
Minjun Kim
J. Park
Changhyun Kwon
67
0
0
21 Apr 2025
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Anja Surina
Amin Mansouri
Lars Quaedvlieg
Amal Seddas
Maryna Viazovska
Emmanuel Abbe
Çağlar Gülçehre
104
3
0
07 Apr 2025
Neural Combinatorial Optimization for Real-World Routing
Neural Combinatorial Optimization for Real-World Routing
Jiwoo Son
Zhikai Zhao
Federico Berto
Chuanbo Hua
C. Kwon
J. Park
84
1
0
20 Mar 2025
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems
Arthur Corrêa
Cristóvão Silva
Liming Xu
Alexandra Brintrup
Samuel Moniz
169
0
0
16 Mar 2025
Learning to Reduce Search Space for Generalizable Neural Routing Solver
Learning to Reduce Search Space for Generalizable Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Qingfu Zhang
282
2
0
05 Mar 2025
Neural Deconstruction Search for Vehicle Routing Problems
Neural Deconstruction Search for Vehicle Routing Problems
André Hottung
Paula Wong-Chung
Kevin Tierney
83
1
0
08 Jan 2025
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
52
2
0
07 Nov 2024
Learning to Handle Complex Constraints for Vehicle Routing Problems
Learning to Handle Complex Constraints for Vehicle Routing Problems
Jieyi Bi
Yining Ma
Jianan Zhou
Wen Song
Zhiguang Cao
Yaoxin Wu
Jie Zhang
112
13
0
28 Oct 2024
Robotic warehousing operations: a learn-then-optimize approach to
  large-scale neighborhood search
Robotic warehousing operations: a learn-then-optimize approach to large-scale neighborhood search
Cynthia Barnhart
Alexandre Jacquillat
Alexandria Schmid
58
0
0
29 Aug 2024
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural
  Combinatorial Optimization
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization
Jonathan Pirnay
D. G. Grimm
BDL
116
3
0
24 Jul 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
166
16
0
21 Jun 2024
GOAL: A Generalist Combinatorial Optimization Agent Learner
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulic
Sofia Michel
J. Andreoli
117
10
0
21 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
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
260
7
0
01 Jun 2024
Prompt Learning for Generalized Vehicle Routing
Prompt Learning for Generalized Vehicle Routing
Fei Liu
Xi Lin
Weiduo Liao
Zhenkun Wang
Qingfu Zhang
Xialiang Tong
Mingxuan Yuan
VLM
83
3
0
20 May 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Jianan Zhou
Zhiguang Cao
Yaoxin Wu
Wen Song
Yining Ma
Jie Zhang
Chi Xu
151
27
0
02 May 2024
Cross-Problem Learning for Solving Vehicle Routing Problems
Cross-Problem Learning for Solving Vehicle Routing Problems
Zhuoyi Lin
Yaoxin Wu
Bangjian Zhou
Zhiguang Cao
Wen Song
Yingqian Zhang
Senthilnath Jayavelu
141
14
0
17 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey
  and Unifying Perspective
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
AI4CE
121
8
0
09 Apr 2024
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
Andrew Holliday
A. El-geneidy
Gregory Dudek
145
0
0
08 Apr 2024
Self-Improved Learning for Scalable Neural Combinatorial Optimization
Self-Improved Learning for Scalable Neural Combinatorial Optimization
Fu Luo
Xi Lin
Zhenkun Wang
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
122
20
0
28 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
95
12
0
22 Mar 2024
Learning-Enhanced Neighborhood Selection for the Vehicle Routing Problem
  with Time Windows
Learning-Enhanced Neighborhood Selection for the Vehicle Routing Problem with Time Windows
Willem Feijen
Guido Schäfer
Koen Dekker
Seppo Pieterse
29
1
0
13 Mar 2024
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Huijie Tang
Federico Berto
Jinkyoo Park
97
4
0
12 Mar 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
136
32
0
11 Mar 2024
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
Andrew Holliday
Gregory Dudek
86
0
0
27 Feb 2024
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot
  Generalization
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
Fei Liu
Xi Lin
Zhenkun Wang
Qingfu Zhang
Xialiang Tong
Mingxuan Yuan
96
24
0
23 Feb 2024
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial
  Optimization
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
André Hottung
Mridul Mahajan
Kevin Tierney
85
14
0
21 Feb 2024
Moco: A Learnable Meta Optimizer for Combinatorial Optimization
Moco: A Learnable Meta Optimizer for Combinatorial Optimization
Tim Dernedde
Daniela Thyssens
Soren Dittrich
Maximilan Stubbemann
Lars Schmidt-Thieme
89
6
0
07 Feb 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
91
42
0
13 Dec 2023
Algorithm Evolution Using Large Language Model
Algorithm Evolution Using Large Language Model
Fei Liu
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
79
46
0
26 Nov 2023
Combinatorial Optimization with Policy Adaptation using Latent Space
  Search
Combinatorial Optimization with Policy Adaptation using Latent Space Search
Félix Chalumeau
Shikha Surana
Clément Bonnet
Nathan Grinsztajn
Arnu Pretorius
Alexandre Laterre
Thomas D. Barrett
OffRL
125
23
0
13 Nov 2023
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial
  Optimization
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization
Jinbiao Chen
Jiahai Wang
Zizhen Zhang
Zhiguang Cao
Te Ye
Siyuan Chen
99
18
0
22 Oct 2023
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale
  Generalization
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
Fu Luo
Xi Lin
Fei Liu
Qingfu Zhang
Zhenkun Wang
108
79
0
12 Oct 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
87
3
0
06 Oct 2023
Too Big, so Fail? -- Enabling Neural Construction Methods to Solve
  Large-Scale Routing Problems
Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems
Hao Li
Lars Schmidt-Thieme
81
3
0
29 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
Pinyan Lu
54
5
0
09 Aug 2023
Continuation Path Learning for Homotopy Optimization
Continuation Path Learning for Homotopy Optimization
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
96
9
0
24 Jul 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
74
6
0
29 Jun 2023
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Federico Berto
Chuanbo Hua
J. Park
Laurin Luttmann
Yining Ma
...
Guojie Song
Changhyun Kwon
Kevin Tierney
Lin Xie
Jinkyoo Park
OffRL
114
29
0
29 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 Optimization
Jiwoo Son
Minsu Kim
Hyeon-Seob Kim
Jinkyoo Park
103
22
0
05 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep
  Reinforcement Learning for Combinatorial Optimization
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
Hyeon-Seob Kim
Minsu Kim
SungSoo Ahn
Jinkyoo Park
OffRL
115
7
0
02 Jun 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Jianan Zhou
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
122
52
0
31 May 2023
Graph Reinforcement Learning for Operator Selection in the ALNS
  Metaheuristic
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic
Syu-Ning Johnn
Victor-Alexandru Darvariu
J. Handl
Joerg Kalcsics
41
2
0
28 Feb 2023
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground
  Handling
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling
Jianan Zhou
Yaoxin Wu
Zhiguang Cao
Wen Song
Jie Zhang
Zhenghua Chen
AI4TS
132
26
0
27 Feb 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
98
133
0
16 Feb 2023
Optimization of Topology-Aware Job Allocation on a High-Performance
  Computing Cluster by Neural Simulated Annealing
Optimization of Topology-Aware Job Allocation on a High-Performance Computing Cluster by Neural Simulated Annealing
Zekang Lan
Yan Xu
Ying-Min Huang
Dianxun Huang
Sheng-zhong Feng
29
1
0
06 Feb 2023
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