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2006.09855
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Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants
17 June 2020
Anja Jankovic
Carola Doerr
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Papers citing
"Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants"
22 / 22 papers shown
Title
The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting Wrong
G. Petelin
Gjorgjina Cenikj
29
0
0
12 May 2025
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization
Gjorgjina Cenikj
Ana Nikolikj
Gašper Petelin
Niki van Stein
Carola Doerr
T. Eftimov
54
1
0
08 Jun 2024
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks
Ana Nikolikj
Ana Kostovska
Gjorgjina Cenikj
Carola Doerr
T. Eftimov
23
2
0
20 May 2024
On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting
Takushi Yoshikawa
Ryoji Tanabe
21
0
0
13 May 2024
Assessing the Generalizability of a Performance Predictive Model
Ana Nikolikj
Gjorgjina Cenikj
Gordana Ispirova
Diederick Vermetten
Ryan Dieter Lang
A. Engelbrecht
Carola Doerr
Peter Korošec
T. Eftimov
19
3
0
31 May 2023
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction
Ana Nikolikj
Michal Pluhacek
Carola Doerr
Peter Korošec
T. Eftimov
22
2
0
30 May 2023
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
Bas van Stein
Fu Xing Long
M. Frenzel
Peter Krause
M. Gitterle
T.H.W. Bäck
9
19
0
31 Mar 2023
Using Affine Combinations of BBOB Problems for Performance Assessment
Diederick Vermetten
Furong Ye
Carola Doerr
16
11
0
08 Mar 2023
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games
Vanessa Volz
B. Naujoks
P. Kerschke
Tea Tušar
19
3
0
16 Feb 2023
RF+clust for Leave-One-Problem-Out Performance Prediction
Ana Nikolikj
Carola Doerr
T. Eftimov
16
6
0
23 Jan 2023
BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances
F. Long
Diederick Vermetten
Bas van Stein
Anna V. Kononova
16
19
0
29 Nov 2022
Automated Algorithm Selection for Radar Network Configuration
Quentin Renau
Johann Dréo
A. Peres
Y. Semet
Carola Doerr
Benjamin Doerr
21
4
0
07 May 2022
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Ana Kostovska
Anja Jankovic
Diederick Vermetten
Jacob De Nobel
Hao Wang
T. Eftimov
Carola Doerr
22
37
0
20 Apr 2022
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants
Ana Kostovska
Diederick Vermetten
S. Džeroski
Carola Doerr
Peter Korošec
T. Eftimov
14
8
0
15 Apr 2022
Explainable Landscape Analysis in Automated Algorithm Performance Prediction
R. Trajanov
Stefan Dimeski
Martin Popovski
Peter Korošec
T. Eftimov
23
13
0
22 Mar 2022
Explainable Landscape-Aware Optimization Performance Prediction
R. Trajanov
Stefan Dimeski
Martin Popovski
Peter Korošec
T. Eftimov
11
16
0
22 Oct 2021
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization
Ryoji Tanabe
11
15
0
17 Sep 2021
Personalizing Performance Regression Models to Black-Box Optimization Problems
T. Eftimov
Anja Jankovic
Gorjan Popovski
Carola Doerr
Peter Korošec
16
6
0
22 Apr 2021
Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework
Ryoji Tanabe
13
2
0
21 Apr 2021
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection
Anja Jankovic
Gorjan Popovski
T. Eftimov
Carola Doerr
10
23
0
19 Apr 2021
Towards Feature-Based Performance Regression Using Trajectory Data
Anja Jankovic
T. Eftimov
Carola Doerr
28
26
0
10 Feb 2021
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions
Quentin Renau
Johann Dréo
Carola Doerr
Benjamin Doerr
6
31
0
01 Feb 2021
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