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Learning Collaborative Policies to Solve NP-hard Routing Problems

Learning Collaborative Policies to Solve NP-hard Routing Problems

26 October 2021
Minsu Kim
Jinkyoo Park
Joungho Kim
ArXivPDFHTML

Papers citing "Learning Collaborative Policies to Solve NP-hard Routing Problems"

21 / 21 papers shown
Title
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
60
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
135
1
0
05 Mar 2025
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Hyeon-Seob Kim
Minsu Kim
Sanghyeok Choi
Jinkyoo Park
56
3
0
31 Dec 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
61
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
70
6
0
01 Jun 2024
Tackling Prevalent Conditions in Unsupervised Combinatorial
  Optimization: Cardinality, Minimum, Covering, and More
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
Fanchen Bu
Hyeonsoo Jo
Soo Yong Lee
Sungsoo Ahn
Kijung Shin
27
3
0
14 May 2024
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
63
0
0
03 May 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
53
6
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
32
0
0
08 Apr 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
48
24
0
11 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
39
34
0
13 Dec 2023
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as
  Sequential Generation with Equity Context
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context
Jiwoo Son
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jinkyoo Park
21
9
0
05 Jun 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
38
121
0
16 Feb 2023
DIMES: A Differentiable Meta Solver for Combinatorial Optimization
  Problems
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu
Zhiqing Sun
Yiming Yang
47
80
0
08 Oct 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
30
65
0
13 Jul 2022
Unsupervised Learning for Combinatorial Optimization with Principled
  Objective Relaxation
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Haoyu Wang
Nan Wu
Hang Yang
Cong Hao
Pan Li
39
30
0
13 Jul 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
29
2
0
06 Jun 2022
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim
Junyoung Park
Jinkyoo Park
78
80
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
31
24
0
05 May 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
38
65
0
22 Dec 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
42
115
0
23 Feb 2021
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