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Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

19 December 2020
Zhang-Hua Fu
K. Qiu
H. Zha
    TPM
ArXivPDFHTML

Papers citing "Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances"

37 / 37 papers shown
Title
Preference Optimization for Combinatorial Optimization Problems
Preference Optimization for Combinatorial Optimization Problems
Mingjun Pan
Guanquan Lin
You-Wei Luo
Bin Zhu
Zhien Dai
Lijun Sun
Chun Yuan
23
0
0
13 May 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
38
1
0
07 Apr 2025
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
Minori Narita
Ryo Kuroiwa
J. Christopher Beck
44
0
0
20 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
99
0
0
05 Mar 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling
Haoyu Lei
Kaiwen Zhou
Y. Li
Zhitang Chen
Farzan Farnia
DiffM
70
1
0
15 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Yang Li
Jinpei Guo
Runzhong Wang
H. Zha
Junchi Yan
63
4
0
05 Feb 2025
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
Yongxing Zhang
Donglin Yang
Renjie Liao
DiffM
152
0
0
03 Oct 2024
GOAL: A Generalist Combinatorial Optimization Agent Learner
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulic
Sofia Michel
J. Andreoli
39
6
0
21 Jun 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
56
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
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
51
6
0
03 May 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
27
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
43
23
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
34
32
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
19
9
0
05 Jun 2023
ASP: Learn a Universal Neural Solver!
ASP: Learn a Universal Neural Solver!
Chenguang Wang
Zhouliang Yu
Stephen Marcus McAleer
Tianshu Yu
Yao-Chun Yang
AAML
32
24
0
01 Mar 2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun
Yiming Yang
DiffM
33
118
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
43
78
0
08 Oct 2022
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep
  Reinforcement Learning
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning
Rongkai Zhang
Cong Zhang
Zhiguang Cao
Wen Song
Puay Siew Tan
Jie Zhang
B. Wen
Justin Dauwels
16
27
0
13 Sep 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
63
0
13 Jul 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
29
24
0
05 May 2022
Approximating Permutations with Neural Network Components for Travelling
  Photographer Problem
Approximating Permutations with Neural Network Components for Travelling Photographer Problem
S. Chong
12
0
0
30 Apr 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive
  Curriculum
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum
Zeyang Zhang
Ziwei Zhang
Xin Wang
Wenwu Zhu
26
42
0
07 Apr 2022
A Survey for Solving Mixed Integer Programming via Machine Learning
A Survey for Solving Mixed Integer Programming via Machine Learning
Jiayi Zhang
Chang-rui Liu
Junchi Yan
Xijun Li
Hui-Ling Zhen
M. Yuan
AI4CE
34
72
0
06 Mar 2022
Combining Reinforcement Learning and Optimal Transport for the Traveling
  Salesman Problem
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
Yong Liang Goh
W. Lee
Xavier Bresson
T. Laurent
Nicholas Lim
OT
26
9
0
02 Mar 2022
A Game-Theoretic Approach for Improving Generalization Ability of TSP
  Solvers
A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers
Chenguang Wang
Yaodong Yang
Oliver Slumbers
Congying Han
Tiande Guo
Haifeng Zhang
Jun Wang
24
17
0
28 Oct 2021
Graph Neural Network Guided Local Search for the Traveling Salesperson
  Problem
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin H. Hudson
Qingbiao Li
Matthew Malencia
Amanda Prorok
27
63
0
11 Oct 2021
Generalization in Deep RL for TSP Problems via Equivariance and Local
  Search
Generalization in Deep RL for TSP Problems via Equivariance and Local Search
Wenbin Ouyang
Yisen Wang
Paul Weng
Shaochen Han
LRM
69
13
0
07 Oct 2021
Improving Generalization of Deep Reinforcement Learning-based TSP
  Solvers
Improving Generalization of Deep Reinforcement Learning-based TSP Solvers
Wenbin Ouyang
Yisen Wang
Shaochen Han
Zhejian Jin
Paul Weng
LRM
24
11
0
06 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
83
129
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
24
3
0
17 Sep 2021
A New Constructive Heuristic driven by Machine Learning for the
  Traveling Salesman Problem
A New Constructive Heuristic driven by Machine Learning for the Traveling Salesman Problem
U. Mele
L. Gambardella
R. Montemanni
11
13
0
17 Aug 2021
Machine Learning Constructives and Local Searches for the Travelling
  Salesman Problem
Machine Learning Constructives and Local Searches for the Travelling Salesman Problem
Tommaso Vitali
U. Mele
L. Gambardella
R. Montemanni
21
4
0
02 Aug 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
64
67
0
15 Jul 2021
Efficient Active Search for Combinatorial Optimization Problems
Efficient Active Search for Combinatorial Optimization Problems
André Hottung
Yeong-Dae Kwon
Kevin Tierney
22
83
0
09 Jun 2021
ScheduleNet: Learn to solve multi-agent scheduling problems with
  reinforcement learning
ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning
Junyoung Park
Sanjar Bakhtiyar
Jinkyoo Park
15
38
0
06 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
42
115
0
23 Feb 2021
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