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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

17 June 2020
Anja Jankovic
Carola Doerr
ArXivPDFHTML

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
The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting Wrong
G. Petelin
Gjorgjina Cenikj
31
0
0
12 May 2025
A Survey of Meta-features Used for Automated Selection of Algorithms for
  Black-box Single-objective Continuous Optimization
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
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks
Ana Nikolikj
Ana Kostovska
Gjorgjina Cenikj
Carola Doerr
T. Eftimov
25
2
0
20 May 2024
On Constructing Algorithm Portfolios in Algorithm Selection for
  Computationally Expensive Black-box Optimization in the Fixed-budget Setting
On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting
Takushi Yoshikawa
Ryoji Tanabe
23
0
0
13 May 2024
Assessing the Generalizability of a Performance Predictive Model
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
21
3
0
31 May 2023
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance
  Prediction
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
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
Using Affine Combinations of BBOB Problems for Performance Assessment
Diederick Vermetten
Furong Ye
Carola Doerr
18
11
0
08 Mar 2023
Tools for Landscape Analysis of Optimisation Problems in Procedural
  Content Generation for Games
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games
Vanessa Volz
B. Naujoks
P. Kerschke
Tea Tušar
21
3
0
16 Feb 2023
RF+clust for Leave-One-Problem-Out Performance Prediction
RF+clust for Leave-One-Problem-Out Performance Prediction
Ana Nikolikj
Carola Doerr
T. Eftimov
18
6
0
23 Jan 2023
BBOB Instance Analysis: Landscape Properties and Algorithm Performance
  across Problem Instances
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
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
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
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
22
8
0
15 Apr 2022
Explainable Landscape Analysis in Automated Algorithm Performance
  Prediction
Explainable Landscape Analysis in Automated Algorithm Performance Prediction
R. Trajanov
Stefan Dimeski
Martin Popovski
Peter Korošec
T. Eftimov
25
13
0
22 Mar 2022
Explainable Landscape-Aware Optimization Performance Prediction
Explainable Landscape-Aware Optimization Performance Prediction
R. Trajanov
Stefan Dimeski
Martin Popovski
Peter Korošec
T. Eftimov
13
16
0
22 Oct 2021
Benchmarking Feature-based Algorithm Selection Systems for Black-box
  Numerical Optimization
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization
Ryoji Tanabe
13
15
0
17 Sep 2021
Personalizing Performance Regression Models to Black-Box Optimization
  Problems
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
Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework
Ryoji Tanabe
15
2
0
21 Apr 2021
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance
  Regression and Algorithm Selection
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection
Anja Jankovic
Gorjan Popovski
T. Eftimov
Carola Doerr
12
23
0
19 Apr 2021
Towards Feature-Based Performance Regression Using Trajectory Data
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
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
1