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Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale
  Generalization

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

12 October 2023
Fu Luo
Xi Lin
Fei Liu
Qingfu Zhang
Zhenkun Wang
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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