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NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun
  Heuristic for Solving the Traveling Salesman Problem

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem

15 October 2021
Liang Xin
Wen Song
Zhiguang Cao
Jie Zhang
ArXivPDFHTML

Papers citing "NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem"

12 / 12 papers shown
Title
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Yue Yang
Xiao Lin
Zhipeng Zhao
SSL
118
10
0
28 Jan 2025
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems
Ryo Yonetani
54
1
0
05 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
144
6
0
01 Jun 2024
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle
  Routing Problems
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
Liang Xin
Wen Song
Zhiguang Cao
Jie Zhang
61
150
0
19 Dec 2020
POMO: Policy Optimization with Multiple Optima for Reinforcement
  Learning
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
Yeong-Dae Kwon
Jinho Choo
Byoungjip Kim
Iljoo Yoon
Youngjune Gwon
Seungjai Min
61
325
0
30 Oct 2020
Learning to Solve Vehicle Routing Problems with Time Windows through
  Joint Attention
Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention
Jonas K. Falkner
Lars Schmidt-Thieme
34
38
0
16 Jun 2020
Learning the Travelling Salesperson Problem Requires Rethinking
  Generalization
Learning the Travelling Salesperson Problem Requires Rethinking Generalization
Chaitanya K. Joshi
Quentin Cappart
Louis-Martin Rousseau
T. Laurent
105
114
0
12 Jun 2020
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
136
1,367
0
15 Nov 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
83
1,193
0
22 Mar 2018
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
88
1,453
0
05 Apr 2017
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
120
1,472
0
29 Nov 2016
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
94
3,036
0
09 Jun 2015
1