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2310.07985
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Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
12 October 2023
Fu Luo
Xi Lin
Fei Liu
Qingfu Zhang
Zhenkun Wang
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Papers citing
"Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization"
43 / 43 papers shown
Title
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Anja Surina
Amin Mansouri
Lars Quaedvlieg
Amal Seddas
Maryna Viazovska
Emmanuel Abbe
Çağlar Gülçehre
31
0
0
07 Apr 2025
Multi-Dimensional AGV Path Planning in 3D Warehouses Using Ant Colony Optimization and Advanced Neural Networks
Bo Zhang
Xiubo Liang
Wei Song
Y. Chen
31
0
0
30 Mar 2025
Neural Combinatorial Optimization for Real-World Routing
Jiwoo Son
Zhikai Zhao
Federico Berto
Chuanbo Hua
C. Kwon
J. Park
51
1
0
20 Mar 2025
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems
Arthur Corrêa
Cristóvão Silva
Liming Xu
Alexandra Brintrup
Samuel Moniz
53
0
0
16 Mar 2025
L2R: Learning to Reduce Search Space for Generalizable Neural Routing Solver
Changliang Zhou
Xi Victoria Lin
Zhenkun Wang
Qingfu Zhang
67
0
0
05 Mar 2025
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
Ni Zhang
Jingfeng Yang
Zhiguang Cao
Xu Chi
60
1
0
03 Mar 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
Ziwei Huang
Jianan Zhou
Zhiguang Cao
Yixin Xu
31
1
0
02 Mar 2025
Destroy and Repair Using Hyper Graphs for Routing
Ke Li
Fei Liu
Zhengkun Wang
Qingfu Zhang
39
1
0
22 Feb 2025
ARS: Automatic Routing Solver with Large Language Models
Kai Li
Fei Liu
Zhenkun Wang
Xialiang Tong
Xiongwei Han
Mingxuan Yuan
34
0
0
21 Feb 2025
LocalEscaper: A Weakly-supervised Framework with Regional Reconstruction for Scalable Neural TSP Solvers
Junrui Wen
Yifei Li
B. Selman
Kun He
38
0
0
18 Feb 2025
Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization
Chaoxu Mu
Xufeng Zhang
Hui Wang
38
0
0
17 Feb 2025
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
50
4
0
05 Feb 2025
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
Qi Li
Zhiguang Cao
Yining Ma
Yaoxin Wu
Yue-jiao Gong
48
0
0
03 Jan 2025
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
Federico Julian Camerota Verdù
Lorenzo Castelli
Luca Bortolussi
OffRL
64
3
0
13 Dec 2024
Learning to Handle Complex Constraints for Vehicle Routing Problems
Jieyi Bi
Yining Ma
Jianan Zhou
Wen Song
Zhiguang Cao
Yaoxin Wu
Jie Zhang
29
6
0
28 Oct 2024
Neural Solver Selection for Combinatorial Optimization
Chengrui Gao
Haopu Shang
Ke Xue
Chao Qian
23
0
0
13 Oct 2024
Collaboration! Towards Robust Neural Methods for Routing Problems
Jianan Zhou
Yaoxin Wu
Zhiguang Cao
Wen Song
Jie Zhang
Zhiqi Shen
AAML
23
3
0
07 Oct 2024
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization
Federico Berto
Chuanbo Hua
Laurin Luttmann
Jiwoo Son
Junyoung Park
Kyuree Ahn
Changhyun Kwon
Lin Xie
Jinkyoo Park
33
1
0
05 Sep 2024
MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization
Andoni I. Garmendia
Quentin Cappart
Josu Ceberio
A. Mendiburu
26
2
0
05 Aug 2024
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization
Jonathan Pirnay
D. G. Grimm
BDL
48
3
0
24 Jul 2024
Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optimization
Félix Chalumeau
Refiloe Shabe
Noah de Nicola
Arnu Pretorius
Thomas D. Barrett
Nathan Grinsztajn
58
2
0
24 Jun 2024
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
48
10
0
21 Jun 2024
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
60
4
0
01 Jun 2024
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
Fanchen Bu
Hyeonsoo Jo
Soo Yong Lee
Sungsoo Ahn
Kijung Shin
22
3
0
14 May 2024
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization
Changliang Zhou
Xi Lin
Zhenkun Wang
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
46
6
0
03 May 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
Jianan Zhou
Zhiguang Cao
Yaoxin Wu
Wen Song
Yining Ma
Jie Zhang
Chi Xu
49
17
0
02 May 2024
Cross-Problem Learning for Solving Vehicle Routing Problems
Zhuoyi Lin
Yaoxin Wu
Bangjian Zhou
Zhiguang Cao
Wen Song
Yingqian Zhang
Senthilnath Jayavelu
30
10
0
17 Apr 2024
Self-Improved Learning for Scalable Neural Combinatorial Optimization
Fu Luo
Xi Lin
Zhenkun Wang
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
40
16
0
28 Mar 2024
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement
Jonathan Pirnay
D. G. Grimm
39
10
0
22 Mar 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
41
23
0
11 Mar 2024
Moco: A Learnable Meta Optimizer for Combinatorial Optimization
Tim Dernedde
Daniela Thyssens
Soren Dittrich
Maximilan Stubbemann
Lars Schmidt-Thieme
49
5
0
07 Feb 2024
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
Han Fang
Zhihao Song
Paul Weng
Yutong Ban
24
8
0
04 Feb 2024
Large Language Models as Hyper-Heuristics for Combinatorial Optimization
Haoran Ye
Jiarui Wang
Zhiguang Cao
Federico Berto
Chuanbo Hua
Haeyeon Kim
Jinkyoo Park
Guojie Song
40
44
0
02 Feb 2024
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
36
9
0
13 Jan 2024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Fei Liu
Xialiang Tong
Mingxuan Yuan
Xi Lin
Fu Luo
Zhenkun Wang
Zhichao Lu
Qingfu Zhang
VLM
35
54
0
04 Jan 2024
Algorithm Evolution Using Large Language Model
Fei Liu
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
22
39
0
26 Nov 2023
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
Shiqing Liu
Xueming Yan
Yaochu Jin
37
8
0
10 Oct 2023
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
Chengrui Gao
Haopu Shang
Ke Xue
Dong Li
Chao Qian
13
22
0
27 Aug 2023
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks
Yaobo Song
Laurens Bliek
Yingqian Zhang
10
1
0
08 Feb 2023
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim
Junyoung Park
Jinkyoo Park
68
78
0
26 May 2022
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
75
129
0
06 Oct 2021
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
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
69
1,447
0
29 Nov 2016
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