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Personalizing Performance Regression Models to Black-Box Optimization Problems
22 April 2021
T. Eftimov
Anja Jankovic
Gorjan Popovski
Carola Doerr
Peter Korošec
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Papers citing
"Personalizing Performance Regression Models to Black-Box Optimization Problems"
6 / 6 papers shown
Title
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy
Quentin Renau
Carola Doerr
Johann Dréo
Benjamin Doerr
90
59
0
19 Jun 2020
Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants
Anja Jankovic
Carola Doerr
34
38
0
17 Jun 2020
Automated Algorithm Selection: Survey and Perspectives
P. Kerschke
Holger H. Hoos
Frank Neumann
Heike Trautmann
45
381
0
28 Nov 2018
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning
P. Kerschke
Heike Trautmann
67
151
0
24 Nov 2017
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
N. Hansen
A. Auger
Raymond Ros
Olaf Mersmann
Tea Tušar
D. Brockhoff
55
424
0
29 Mar 2016
CMA-ES with Two-Point Step-Size Adaptation
Nikolaus Hansen
108
575
0
02 May 2008
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