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H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman
  Problem

H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem

19 April 2023
Xuanhao Pan
Yan Jin
Yuandong Ding
Ming Feng
Li Zhao
Lei Song
Jiang Bian
ArXivPDFHTML

Papers citing "H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem"

20 / 20 papers shown
Title
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
17
0
0
20 May 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
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
51
0
0
18 Feb 2025
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
42
7
0
28 Oct 2024
GOAL: A Generalist Combinatorial Optimization Agent Learner
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulic
Sofia Michel
J. Andreoli
39
7
0
21 Jun 2024
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving
  Large-Scale Traveling Salesman Problems
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
Yifan Xia
Xianliang Yang
Zichuan Liu
Zhihao Liu
Lei Song
Jiang Bian
LRM
45
10
0
02 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
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
42
3
0
20 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
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
53
17
0
28 Mar 2024
Solving a Real-World Package Delivery Routing Problem Using Quantum
  Annealers
Solving a Real-World Package Delivery Routing Problem Using Quantum Annealers
E. Osaba
Esther Villar-Rodriguez
Antón Asla
22
6
0
22 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
48
24
0
11 Mar 2024
INViT: A Generalizable Routing Problem Solver with Invariant Nested View
  Transformer
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
Han Fang
Zhihao Song
Paul Weng
Yutong Ban
39
10
0
04 Feb 2024
Distance-aware Attention Reshaping: Enhance Generalization of Neural
  Solver for Large-scale Vehicle Routing Problems
Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems
Yang Wang
Ya-Hui Jia
Wei-neng Chen
Yi Mei
38
11
0
13 Jan 2024
Algorithm Evolution Using Large Language Model
Algorithm Evolution Using Large Language Model
Fei Liu
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
30
39
0
26 Nov 2023
Learning to Search Feasible and Infeasible Regions of Routing Problems
  with Flexible Neural k-Opt
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt
Yining Ma
Zhiguang Cao
Yeow Meng Chee
29
38
0
27 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
35
61
0
12 Oct 2023
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Haoran Ye
Jiarui Wang
Zhiguang Cao
Helan Liang
Yong Li
36
46
0
25 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
P. Lu
30
4
0
09 Aug 2023
A Lightweight CNN-Transformer Model for Learning Traveling Salesman
  Problems
A Lightweight CNN-Transformer Model for Learning Traveling Salesman Problems
Minseop Jung
Jaeseung Lee
Jibum Kim
ViT
19
11
0
03 May 2023
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