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Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances
v1v2 (latest)

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

AAAI Conference on Artificial Intelligence (AAAI), 2020
19 December 2020
Zhang-Hua Fu
K. Qiu
H. Zha
    TPM
ArXiv (abs)PDFHTMLGithub (135★)

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

50 / 130 papers shown
Neural Tractability via Structure: Learning-Augmented Algorithms for Graph Combinatorial Optimization
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Weitong Chen
Mingyu Guo
139
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Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
Yuxin Pan
Zhiguang Cao
Chengyang Gu
Liu Liu
Peilin Zhao
Yize Chen
Fangzhen Lin
226
2
0
24 Oct 2025
Empowering Targeted Neighborhood Search via Hyper Tour for Large-Scale TSP
Empowering Targeted Neighborhood Search via Hyper Tour for Large-Scale TSP
Tongkai Lu
Shuai Ma
Chongyang Tao
185
0
0
23 Oct 2025
Multi-Action Self-Improvement for Neural Combinatorial Optimization
Multi-Action Self-Improvement for Neural Combinatorial Optimization
Laurin Luttmann
Lin Xie
237
1
0
14 Oct 2025
One4Many-StablePacker: An Efficient Deep Reinforcement Learning Framework for the 3D Bin Packing Problem
One4Many-StablePacker: An Efficient Deep Reinforcement Learning Framework for the 3D Bin Packing Problem
Lei Gao
Shihong Huang
Shengjie Wang
Hong Ma
Feng Zhang
Hengda Bao
Qichang Chen
Weihua Zhou
OffRL
207
1
0
11 Oct 2025
Enhancing the Cross-Size Generalization for Solving Vehicle Routing Problems via Continual Learning
Enhancing the Cross-Size Generalization for Solving Vehicle Routing Problems via Continual Learning
Jingwen Li
Zhiguang Cao
Yaoxin Wu
Tang Liu
CLL
286
3
0
11 Oct 2025
URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization
URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization
Changliang Zhou
Canhong Yu
Shunyu Yao
Xi Lin
Zhenkun Wang
Yu Zhou
Qingfu Zhang
218
7
0
27 Sep 2025
ViTSP: A Vision Language Models Guided Framework for Solving Large-Scale Traveling Salesman Problems
ViTSP: A Vision Language Models Guided Framework for Solving Large-Scale Traveling Salesman Problems
Zhuoli Yin
Yi Ding
Reem Khir
Hua Cai
VLM
182
0
0
27 Sep 2025
Deterministic Discrete Denoising
Deterministic Discrete Denoising
H. Suzuki
Hiroshi Yamashita
Hiroshi Yamashita
DiffM
410
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25 Sep 2025
Recurrent State Encoders for Efficient Neural Combinatorial Optimization
Recurrent State Encoders for Efficient Neural Combinatorial Optimization
Tim Dernedde
Daniela Thyssens
Lars Schmidt-Thieme
197
0
0
05 Sep 2025
Generative Modeling for Robust Deep Reinforcement Learning on the Traveling Salesman Problem
Generative Modeling for Robust Deep Reinforcement Learning on the Traveling Salesman Problem
Michael Li
Eric Bae
Christopher Haberland
Natasha Jaques
150
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12 Aug 2025
EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Design
EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Design
Fei Liu
Yilu Liu
Qingfu Zhang
Xialiang Tong
Mingxuan Yuan
236
10
0
05 Aug 2025
On Distributional Dependent Performance of Classical and Neural Routing Solvers
On Distributional Dependent Performance of Classical and Neural Routing Solvers
Daniela Thyssens
Tim Dernedde
Wilson Sentanoe
Lars Schmidt-Thieme
222
1
0
04 Aug 2025
Unsupervised Learning for the Elementary Shortest Path Problem
Unsupervised Learning for the Elementary Shortest Path Problem
Jingyi Chen
Xinyuan Zhang
Xinwu Qian
148
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03 Aug 2025
Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs
Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs
Filip Rydin
Attila Lischka
Jiaming Wu
M. Chehreghani
Balázs Kulcsár
411
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0
27 Jun 2025
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
EFormer: An Effective Edge-based Transformer for Vehicle Routing ProblemsInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Dian Meng
Zhiguang Cao
Yaoxin Wu
Yaqing Hou
Hongwei Ge
Qiang Zhang
230
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0
19 Jun 2025
Latent Guided Sampling for Combinatorial Optimization
Latent Guided Sampling for Combinatorial Optimization
Sobihan Surendran
Adeline Fermanian
Sylvain Le Corff
BDLOffRL
268
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
341
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RsGCN: Subgraph-Based Rescaling Enhances Generalization of GCNs for Solving Traveling Salesman Problems
RsGCN: Subgraph-Based Rescaling Enhances Generalization of GCNs for Solving Traveling Salesman Problems
Junquan Huang
Zong-Gan Chen
Yuncheng Jiang
Zhi-hui Zhan
460
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31 May 2025
Learning to Insert for Constructive Neural Vehicle Routing Solver
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Fu Luo
Xi Lin
Mengyuan Zhong
Fei Liu
Zhenkun Wang
Jianyong Sun
Qingfu Zhang
419
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20 May 2025
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
329
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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
795
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DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching
DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching
Wei-Ping Huang
Hanchen Wang
Dong Wen
Wenjie Zhang
Yanzhe Zhang
Xuemin Lin
213
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RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization
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Jiwoo Son
Zhikai Zhao
Federico Berto
Chuanbo Hua
C. Kwon
Minjun Kim
Jinkyoo Park
368
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Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic ProgrammingIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2025
Minori Narita
Ryo Kuroiwa
J. Christopher Beck
373
2
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
Gang Qu
643
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05 Mar 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
Rethinking Light Decoder-based Solvers for Vehicle Routing ProblemsInternational Conference on Learning Representations (ICLR), 2025
Ziwei Huang
Jianan Zhou
Zhiguang Cao
Yixin Xu
342
28
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02 Mar 2025
Destroy and Repair Using Hyper Graphs for Routing
Destroy and Repair Using Hyper Graphs for RoutingAAAI Conference on Artificial Intelligence (AAAI), 2025
Ke Li
Fei Liu
Zhengkun Wang
Gang Qu
333
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22 Feb 2025
LocalEscaper: A Weakly-supervised Framework with Regional Reconstruction for Scalable Neural TSP Solvers
LocalEscaper: A Weakly-supervised Framework with Regional Reconstruction for Scalable Neural TSP Solvers
Junrui Wen
Yifei Li
B. Selman
Kun He
398
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18 Feb 2025
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
Haoyu Lei
Kaiwen Zhou
Yunshui Li
Zhitang Chen
Farzan Farnia
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580
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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 OptimizationNeural Information Processing Systems (NeurIPS), 2025
Yang Li
Jinpei Guo
Runzhong Wang
H. Zha
Junchi Yan
570
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05 Feb 2025
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman ProblemKnowledge Discovery and Data Mining (KDD), 2025
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You Zhou
Zhiguang Cao
Yubin Xiao
Xuan Wu
Wei Pang
Yuan Jiang
Hui Yang
Peng Zhao
Yuanshu Li
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Pareto Set Learning for Multi-Objective Reinforcement Learning
Pareto Set Learning for Multi-Objective Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2025
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Yu-Chang Wu
Xiaobin Huang
Chengrui Gao
Ren-Jian Wang
Ke Xue
Chao Qian
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704
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Neural Deconstruction Search for Vehicle Routing Problems
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Enhancing Large-scale UAV Route Planing with Global and Local Features
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Learning to Handle Complex Constraints for Vehicle Routing Problems
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Collaboration! Towards Robust Neural Methods for Routing Problems
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SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
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A GREAT Architecture for Edge-Based Graph Problems Like TSP
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Filip Rydin
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DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial
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RouteFinder: Towards Foundation Models for Vehicle Routing Problems
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