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Reinforcement learning based local search for grouping problems: A case
  study on graph coloring

Reinforcement learning based local search for grouping problems: A case study on graph coloring

1 April 2016
Yangming Zhou
Jin-Kao Hao
B. Duval
ArXiv (abs)PDFHTML

Papers citing "Reinforcement learning based local search for grouping problems: A case study on graph coloring"

12 / 12 papers shown
Title
Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring
Combining Monte Carlo Tree Search and Heuristic Search for Weighted Vertex Coloring
Cyril Grelier
Olivier Goudet
Jin‐Kao Hao
71
0
0
24 Apr 2023
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph
  Neural Networks
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks
George Watkins
Giovanni Montana
Juergen Branke
GNN
57
4
0
08 Apr 2023
Rethinking Graph Neural Networks for the Graph Coloring Problem
Rethinking Graph Neural Networks for the Graph Coloring Problem
Wei Li
Ruxuan Li
Yuzhe Ma
S. Chan
Yao Lai
Bei Yu
47
15
0
15 Aug 2022
A Survey on Machine Learning Solutions for Graph Pattern Extraction
A Survey on Machine Learning Solutions for Graph Pattern Extraction
Kai Siong Yow
Ningyi Liao
Siqiang Luo
Reynold Cheng
Chenhao Ma
Xiaolin Han
101
3
0
03 Apr 2022
A Distribution Evolutionary Algorithm for the Graph Coloring Problem
A Distribution Evolutionary Algorithm for the Graph Coloring Problem
Yongjian Xu
Huabin Cheng
Ning Xu
Yu Chen
Chengwang Xie
24
12
0
29 Mar 2022
A deep learning guided memetic framework for graph coloring problems
A deep learning guided memetic framework for graph coloring problems
Olivier Goudet
Cyril Grelier
Jin‐Kao Hao
GNN
53
26
0
13 Sep 2021
SeaPearl: A Constraint Programming Solver guided by Reinforcement
  Learning
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning
Félix Chalumeau
Ilan Coulon
Quentin Cappart
Louis-Martin Rousseau
92
21
0
18 Feb 2021
High-Performance Parallel Graph Coloring with Strong Guarantees on Work,
  Depth, and Quality
High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality
Maciej Besta
Armon Carigiet
Zur Vonarburg-Shmaria
Kacper Janda
Lukas Gianinazzi
Torsten Hoefler
97
25
0
26 Aug 2020
Probability Learning based Tabu Search for the Budgeted Maximum Coverage
  Problem
Probability Learning based Tabu Search for the Budgeted Maximum Coverage Problem
Liwen Li
Zequn Wei
Jin‐Kao Hao
Kun He
46
12
0
12 Jul 2020
Population-based Gradient Descent Weight Learning for Graph Coloring
  Problems
Population-based Gradient Descent Weight Learning for Graph Coloring Problems
Olivier Goudet
B. Duval
Jin-Kao Hao
37
1
0
05 Sep 2019
Effective reinforcement learning based local search for the maximum
  k-plex problem
Effective reinforcement learning based local search for the maximum k-plex problem
Yanqi Jin
J. Drake
Una Benlic
Kun He
26
3
0
13 Mar 2019
Memetic search for identifying critical nodes in sparse graphs
Memetic search for identifying critical nodes in sparse graphs
Yangming Zhou
Jin-Kao Hao
F. Glover
27
59
0
11 May 2017
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