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Learning to Perform Local Rewriting for Combinatorial Optimization

Learning to Perform Local Rewriting for Combinatorial Optimization

30 September 2018
Xinyun Chen
Yuandong Tian
    NAI
    OffRL
ArXivPDFHTML

Papers citing "Learning to Perform Local Rewriting for Combinatorial Optimization"

50 / 163 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
4
0
0
20 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
38
1
0
07 Apr 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
55
0
0
16 Mar 2025
Exploiting Edited Large Language Models as General Scientific Optimizers
Exploiting Edited Large Language Models as General Scientific Optimizers
Qitan Lv
T. Liu
Haoyu Wang
41
0
0
08 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
Qingfu Zhang
120
1
0
05 Mar 2025
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
Ni Zhang
Jingfeng Yang
Zhiguang Cao
Xu Chi
68
2
0
03 Mar 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
Ziwei Huang
Jianan Zhou
Zhiguang Cao
Yixin Xu
39
2
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
57
1
0
22 Feb 2025
Solving Online Resource-Constrained Scheduling for Follow-Up Observation in Astronomy: a Reinforcement Learning Approach
Solving Online Resource-Constrained Scheduling for Follow-Up Observation in Astronomy: a Reinforcement Learning Approach
Yajie Zhang
Ce Yu
Chao Sun
Jizeng Wei
Junhan Ju
Shanjiang Tang
56
0
0
16 Feb 2025
Unrealized Expectations: Comparing AI Methods vs Classical Algorithms for Maximum Independent Set
Unrealized Expectations: Comparing AI Methods vs Classical Algorithms for Maximum Independent Set
Yikai Wu
Haoyu Zhao
Sanjeev Arora
82
0
0
05 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
68
6
0
05 Feb 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu
Yu-Chang Wu
Xiaobin Huang
Chengrui Gao
Ren-Jian Wang
Ke Xue
Chao Qian
OffRL
47
2
0
12 Jan 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
39
7
0
28 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
25
3
0
07 Oct 2024
A Tie-breaking based Local Search Algorithm for Stable Matching Problems
A Tie-breaking based Local Search Algorithm for Stable Matching Problems
Junyuan Qiu
18
0
0
15 Sep 2024
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem
Constantin Waubert de Puiseau
Fabian Wolz
Merlin Montag
Jannik Peters
Hasan Tercan
Tobias Meisen
39
0
0
04 Sep 2024
Robotic warehousing operations: a learn-then-optimize approach to
  large-scale neighborhood search
Robotic warehousing operations: a learn-then-optimize approach to large-scale neighborhood search
Cynthia Barnhart
Alexandre Jacquillat
Alexandria Schmid
29
0
0
29 Aug 2024
A GREAT Architecture for Edge-Based Graph Problems Like TSP
A GREAT Architecture for Edge-Based Graph Problems Like TSP
Attila Lischka
Jiaming Wu
M. Chehreghani
Balázs Kulcsár
26
2
0
29 Aug 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
40
2
0
05 Aug 2024
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial
  Optimization Problems
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems
Kexiong Yu
Hang Zhao
Yuhang Huang
Renjiao Yi
Kai Xu
Chenyang Zhu
51
0
0
28 Jun 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
Learning Solution-Aware Transformers for Efficiently Solving Quadratic
  Assignment Problem
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem
Zhentao Tan
Yadong Mu
25
3
0
14 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
Leader Reward for POMO-Based Neural Combinatorial Optimization
Leader Reward for POMO-Based Neural Combinatorial Optimization
Chaoyang Wang
Pengzhi Cheng
Jingze Li
Weiwei Sun
44
0
0
22 May 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
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
59
19
0
02 May 2024
Learn to Tour: Operator Design For Solution Feasibility Mapping in
  Pickup-and-delivery Traveling Salesman Problem
Learn to Tour: Operator Design For Solution Feasibility Mapping in Pickup-and-delivery Traveling Salesman Problem
Bowen Fang
Xu Chen
Xuan Di
14
0
0
17 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey
  and Unifying Perspective
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
AI4CE
50
6
0
09 Apr 2024
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
Andrew Holliday
A. El-geneidy
Gregory Dudek
32
0
0
08 Apr 2024
Less Is More -- On the Importance of Sparsification for Transformers and
  Graph Neural Networks for TSP
Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP
Attila Lischka
Jiaming Wu
Rafael Basso
M. Chehreghani
Balázs Kulcsár
43
2
0
25 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
56
11
0
22 Mar 2024
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
Andrew Holliday
Gregory Dudek
59
0
0
27 Feb 2024
A Neural Rewriting System to Solve Algorithmic Problems
A Neural Rewriting System to Solve Algorithmic Problems
Flavio Petruzzellis
Alberto Testolin
A. Sperduti
NAI
41
0
0
27 Feb 2024
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot
  Generalization
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
Fei Liu
Xi Lin
Zhenkun Wang
Qingfu Zhang
Xialiang Tong
Mingxuan Yuan
31
20
0
23 Feb 2024
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial
  Optimization
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
André Hottung
Mridul Mahajan
Kevin Tierney
27
10
0
21 Feb 2024
Self-Labeling the Job Shop Scheduling Problem
Self-Labeling the Job Shop Scheduling Problem
Andrea Corsini
Angelo Porrello
Simone Calderara
Mauro DellÁmico
SSL
13
14
0
22 Jan 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
11
0
13 Jan 2024
Swap-based Deep Reinforcement Learning for Facility Location Problems in
  Networks
Swap-based Deep Reinforcement Learning for Facility Location Problems in Networks
Wenxuan Guo
Yanyan Xu
Yaohui Jin
29
1
0
25 Dec 2023
Pointer Networks Trained Better via Evolutionary Algorithms
Pointer Networks Trained Better via Evolutionary Algorithms
Muyao Zhong
Shengcai Liu
Bingdong Li
Haobo Fu
Ke Tang
Peng Yang
28
0
0
02 Dec 2023
Explainable History Distillation by Marked Temporal Point Process
Explainable History Distillation by Marked Temporal Point Process
Sishun Liu
Ke Deng
Yan Wang
Xiuzhen Zhang
35
0
0
13 Nov 2023
Combinatorial Optimization with Policy Adaptation using Latent Space
  Search
Combinatorial Optimization with Policy Adaptation using Latent Space Search
Félix Chalumeau
Shikha Surana
Clément Bonnet
Nathan Grinsztajn
Arnu Pretorius
Alexandre Laterre
Thomas D. Barrett
OffRL
29
20
0
13 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
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial
  Optimization
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization
Jinbiao Chen
Jiahai Wang
Zizhen Zhang
Zhiguang Cao
Te Ye
Siyuan Chen
19
14
0
22 Oct 2023
Neural Multi-Objective Combinatorial Optimization with Diversity
  Enhancement
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement
Jinbiao Chen
Zizhen Zhang
Zhiguang Cao
Yaoxin Wu
Yining Ma
Te Ye
Jiahai Wang
26
10
0
22 Oct 2023
Learning to Optimise Climate Sensor Placement using a Transformer
Learning to Optimise Climate Sensor Placement using a Transformer
Chen Wang
Victoria Huang
Gang Chen
Hui Ma
Bryce Chen
Jochen Schmidt
21
0
0
18 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
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape
  of Policy-Gradient Methods
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods
C. Caramanis
Dimitris Fotakis
Alkis Kalavasis
Vasilis Kontonis
Christos Tzamos
19
5
0
08 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the
  state-of-the-art, and future directions
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi
Todd Charter
Marjan Yaghoubi
Masoud Jalayer
Maryam Ahang
Ardeshir Shojaeinasab
H. Najjaran
35
11
0
04 Oct 2023
Are Graph Neural Networks Optimal Approximation Algorithms?
Are Graph Neural Networks Optimal Approximation Algorithms?
Morris Yau
Eric Lu
Nikolaos Karalias
Jessica Xu
Stefanie Jegelka
26
1
0
01 Oct 2023
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