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Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization

22 May 2025
Robbert Reijnen
Yaoxin Wu
Zaharah Bukhsh
Yingqian Zhang
    AI4CE
ArXivPDFHTML

Papers citing "Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization"

13 / 13 papers shown
Title
Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods
Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods
Robbert Reijnen
Kjell van Straaten
Zaharah Bukhsh
Yingqian Zhang
Zaharah Bukhsh
Yingqian Zhang
36
6
0
24 Aug 2023
Multi-agent Dynamic Algorithm Configuration
Multi-agent Dynamic Algorithm Configuration
Ke Xue
Jiacheng Xu
Lei Yuan
Mingxing Li
Chao Qian
Zongzhang Zhang
Yang Yu
65
32
0
13 Oct 2022
Automated Dynamic Algorithm Configuration
Automated Dynamic Algorithm Configuration
Steven Adriaensen
André Biedenkapp
Gresa Shala
Noor H. Awad
Theresa Eimer
Marius Lindauer
Frank Hutter
74
37
0
27 May 2022
Pareto Set Learning for Neural Multi-objective Combinatorial
  Optimization
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
Xi Lin
Zhiyuan Yang
Qingfu Zhang
48
68
0
29 Mar 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter
  Optimization
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer
Katharina Eggensperger
Matthias Feurer
André Biedenkapp
Difan Deng
C. Benjamins
Tim Ruhopf
René Sass
Frank Hutter
107
334
0
20 Sep 2021
DACBench: A Benchmark Library for Dynamic Algorithm Configuration
DACBench: A Benchmark Library for Dynamic Algorithm Configuration
Theresa Eimer
André Biedenkapp
Maximilian V Reimer
Steven Adriaensen
Frank Hutter
Marius Lindauer
43
29
0
18 May 2021
Learning adaptive differential evolution algorithm from optimization
  experiences by policy gradient
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
Jianyong Sun
Xin Liu
Thomas Bäck
Zongben Xu
56
84
0
06 Feb 2021
Learning Heuristic Selection with Dynamic Algorithm Configuration
Learning Heuristic Selection with Dynamic Algorithm Configuration
David Speck
André Biedenkapp
Frank Hutter
Robert Mattmüller
Marius Lindauer
34
29
0
15 Jun 2020
Deep Reinforcement Learning Based Parameter Control in Differential
  Evolution
Deep Reinforcement Learning Based Parameter Control in Differential Evolution
Mudita Sharma
Alexandros Komninos
Manuel López-Ibánez
D. Kazakov
16
74
0
20 May 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
424
5,457
0
20 Dec 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
185
18,685
0
20 Jul 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning
Value-Decomposition Networks For Cooperative Multi-Agent Learning
P. Sunehag
Guy Lever
A. Gruslys
Wojciech M. Czarnecki
V. Zambaldi
...
Marc Lanctot
Nicolas Sonnerat
Joel Z Leibo
K. Tuyls
T. Graepel
59
993
0
16 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
390
28,795
0
09 Sep 2016
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