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Personalizing Performance Regression Models to Black-Box Optimization
  Problems

Personalizing Performance Regression Models to Black-Box Optimization Problems

22 April 2021
T. Eftimov
Anja Jankovic
Gorjan Popovski
Carola Doerr
Peter Korošec
ArXivPDFHTML

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
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
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
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
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
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
CMA-ES with Two-Point Step-Size Adaptation
Nikolaus Hansen
111
575
0
02 May 2008
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