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Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning
24 November 2017
P. Kerschke
Heike Trautmann
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Papers citing
"Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning"
12 / 62 papers shown
Title
Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants
Anja Jankovic
Carola Doerr
58
38
0
17 Jun 2020
Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case
Diederick Vermetten
Hongya Wang
Carola Doerr
Thomas Bäck
56
15
0
11 Jun 2020
Towards Feature-free TSP Solver Selection: A Deep Learning Approach
Kangfei Zhao
Shengcai Liu
Yu Rong
Jianwei Yu
71
2
0
01 Jun 2020
Versatile Black-Box Optimization
Jialin Liu
A. Moreau
Mike Preuss
Baptiste Roziere
Jérémy Rapin
F. Teytaud
O. Teytaud
57
38
0
29 Apr 2020
Initial Design Strategies and their Effects on Sequential Model-Based Optimization
Jakob Bossek
Carola Doerr
P. Kerschke
70
27
0
30 Mar 2020
CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems
A. Fischbach
Jan Strohschein
Andreas Bunte
Jörg Stork
Heide Faeskorn-Woyke
N. Moriz
Thomas Bartz-Beielstein
23
18
0
26 Feb 2020
Black Box Algorithm Selection by Convolutional Neural Network
Yaodong He
S. Y. Yuen
17
5
0
22 Dec 2019
One-Shot Decision-Making with and without Surrogates
Jakob Bossek
P. Kerschke
Aneta Neumann
Frank Neumann
Carola Doerr
127
2
0
19 Dec 2019
Instruction-Level Design of Local Optimisers using Push GP
M. Lones
62
11
0
24 May 2019
Online Selection of CMA-ES Variants
Diederick Vermetten
Sander van Rijn
Thomas Bäck
Carola Doerr
59
26
0
16 Apr 2019
Automated Algorithm Selection: Survey and Perspectives
P. Kerschke
Holger H. Hoos
Frank Neumann
Heike Trautmann
71
384
0
28 Nov 2018
A new Taxonomy of Continuous Global Optimization Algorithms
Jörg Stork
A. E. Eiben
Thomas Bartz-Beielstein
53
33
0
27 Aug 2018
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