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Comprehensive Feature-Based Landscape Analysis of Continuous and
  Constrained Optimization Problems Using the R-Package flacco

Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco

17 August 2017
P. Kerschke
ArXiv (abs)PDFHTML

Papers citing "Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco"

43 / 43 papers shown
Title
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems
Lennart Schäpermeier
98
0
0
15 Apr 2025
Landscape-Aware Automated Algorithm Configuration using Multi-output
  Mixed Regression and Classification
Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification
Fu Xing Long
M. Frenzel
Peter Krause
M. Gitterle
Thomas Bäck
Niki van Stein
52
0
0
02 Sep 2024
Hilbert curves for efficient exploratory landscape analysis
  neighbourhood sampling
Hilbert curves for efficient exploratory landscape analysis neighbourhood sampling
Jakob Träuble
Anna Sergeevna Bosman
Gabriele Kaminski Schierle
60
0
0
01 Aug 2024
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in
  Mixed-variable Black-box Optimization
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization
Konstantin Dietrich
Raphael Patrick Prager
Carola Doerr
Heike Trautmann
58
0
0
10 Jul 2024
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
77
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
51
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
44
0
0
13 May 2024
Impact of Training Instance Selection on Automated Algorithm Selection
  Models for Numerical Black-box Optimization
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization
Konstantin Dietrich
Diederick Vermetten
Carola Doerr
P. Kerschke
82
2
0
11 Apr 2024
Characterising harmful data sources when constructing multi-fidelity
  surrogate models
Characterising harmful data sources when constructing multi-fidelity surrogate models
Nicolau Andrés-Thió
Mario Andrés Muñoz
Kate Smith-Miles
28
1
0
12 Mar 2024
Exploratory Landscape Analysis for Mixed-Variable Problems
Exploratory Landscape Analysis for Mixed-Variable Problems
Raphael Patrick Prager
Heike Trautmann
54
3
0
26 Feb 2024
Impact of spatial transformations on landscape features of CEC2022 basic
  benchmark problems
Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems
Haoran Yin
Diederick Vermetten
Furong Ye
Thomas H. W. Bäck
Anna V. Kononova
78
1
0
12 Feb 2024
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised
  Pretrained Transformers for Single- and Multi-Objective Continuous
  Optimization Problems
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems
M. Seiler
P. Kerschke
Heike Trautmann
60
7
0
02 Jan 2024
GNBG: A Generalized and Configurable Benchmark Generator for Continuous
  Numerical Optimization
GNBG: A Generalized and Configurable Benchmark Generator for Continuous Numerical Optimization
D. Yazdani
M. Omidvar
Delaram Yazdani
Kalyanmoy Deb
Amir H. Gandomi
40
3
0
12 Dec 2023
Towards the Inferrence of Structural Similarity of Combinatorial
  Landscapes
Towards the Inferrence of Structural Similarity of Combinatorial Landscapes
Mingyu Huang
Ke Li
60
0
0
05 Dec 2023
DynamoRep: Trajectory-Based Population Dynamics for Classification of
  Black-box Optimization Problems
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems
Gjorgjina Cenikj
G. Petelin
Carola Doerr
Peter Korošec
T. Eftimov
84
11
0
08 Jun 2023
Algorithm Instance Footprint: Separating Easily Solvable and Challenging
  Problem Instances
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances
Ana Nikolikj
Savso Dvzeroski
Mario Andrés Muñoz
Carola Doerr
Peter Korovsec
T. Eftimov
64
6
0
01 Jun 2023
Challenges of ELA-guided Function Evolution using Genetic Programming
Challenges of ELA-guided Function Evolution using Genetic Programming
Fu Xing Long
Diederick Vermetten
Anna V. Kononova
Roman Kalkreuth
Kaifeng Yang
Thomas Bäck
Niki van Stein
49
6
0
24 May 2023
Computational and Exploratory Landscape Analysis of the GKLS Generator
Computational and Exploratory Landscape Analysis of the GKLS Generator
J. Kůdela
M. Juricek
68
6
0
18 Apr 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
44
19
0
31 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
50
4
0
16 Feb 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
72
21
0
29 Nov 2022
OPTION: OPTImization Algorithm Benchmarking ONtology
OPTION: OPTImization Algorithm Benchmarking ONtology
Ana Kostovska
Diederick Vermetten
Carola Doerr
Jannis Brugger
P. Panov
T. Eftimov
81
11
0
21 Nov 2022
Towards Automated Design of Bayesian Optimization via Exploratory
  Landscape Analysis
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis
C. Benjamins
Anja Jankovic
Elena Raponi
K. Blom
Marius Lindauer
Carola Doerr
60
5
0
17 Nov 2022
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means
  of Exploratory Landscape Analysis
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
Lennart Schneider
Lennart Schäpermeier
Raphael Patrick Prager
B. Bischl
Heike Trautmann
P. Kerschke
49
11
0
30 Jul 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
44
4
0
07 May 2022
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible
  Statistical Comparison
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison
Gjorgjina Cenikj
Ryan Dieter Lang
A. Engelbrecht
Carola Doerr
Peter Korošec
T. Eftimov
43
23
0
25 Apr 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
82
37
0
20 Apr 2022
Trajectory-based Algorithm Selection with Warm-starting
Trajectory-based Algorithm Selection with Warm-starting
Anja Jankovic
Diederick Vermetten
Ana Kostovska
Jacob De Nobel
T. Eftimov
Carola Doerr
80
10
0
13 Apr 2022
A Collection of Deep Learning-based Feature-Free Approaches for
  Characterizing Single-Objective Continuous Fitness Landscapes
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes
M. Seiler
Raphael Patrick Prager
P. Kerschke
Heike Trautmann
58
21
0
12 Apr 2022
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box
  Context
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context
Z. Pitra
J. Koza
Jirí Tumpach
M. Holeňa
104
2
0
11 Feb 2022
Explainable Landscape-Aware Optimization Performance Prediction
Explainable Landscape-Aware Optimization Performance Prediction
R. Trajanov
Stefan Dimeski
Martin Popovski
Peter Korošec
T. Eftimov
65
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
43
15
0
17 Sep 2021
Characterization of Constrained Continuous Multiobjective Optimization
  Problems: A Feature Space Perspective
Characterization of Constrained Continuous Multiobjective Optimization Problems: A Feature Space Perspective
Aljoša Vodopija
Tea Tušar
B. Filipič
75
18
0
09 Sep 2021
Emergence of Structural Bias in Differential Evolution
Emergence of Structural Bias in Differential Evolution
Bas van Stein
Fabio Caraffini
Anna V. Kononova
40
8
0
10 May 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
41
2
0
21 Apr 2021
Explorative Data Analysis of Time Series based AlgorithmFeatures of
  CMA-ES Variants
Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants
Jacob De Nobel
Hao Wang
Thomas Bäck
AI4TS
43
9
0
16 Apr 2021
Towards Feature-Based Performance Regression Using Trajectory Data
Towards Feature-Based Performance Regression Using Trajectory Data
Anja Jankovic
T. Eftimov
Carola Doerr
82
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
54
33
0
01 Feb 2021
Neural Network Design: Learning from Neural Architecture Search
Neural Network Design: Learning from Neural Architecture Search
Bas van Stein
Hongya Wang
Thomas Bäck
31
10
0
01 Nov 2020
Linear Matrix Factorization Embeddings for Single-objective Optimization
  Landscapes
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes
T. Eftimov
Gorjan Popovski
Quentin Renau
Peter Korošec
Carola Doerr
45
12
0
30 Sep 2020
Benchmarking in Optimization: Best Practice and Open Issues
Benchmarking in Optimization: Best Practice and Open Issues
Thomas Bartz-Beielstein
Carola Doerr
Daan van den Berg
Jakob Bossek
Sowmya Chandrasekaran
...
B. Naujoks
Patryk Orzechowski
Vanessa Volz
Markus Wagner
T. Weise
133
112
0
07 Jul 2020
One-Shot Decision-Making with and without Surrogates
One-Shot Decision-Making with and without Surrogates
Jakob Bossek
P. Kerschke
Aneta Neumann
Frank Neumann
Carola Doerr
122
2
0
19 Dec 2019
Automated Algorithm Selection: Survey and Perspectives
Automated Algorithm Selection: Survey and Perspectives
P. Kerschke
Holger H. Hoos
Frank Neumann
Heike Trautmann
68
384
0
28 Nov 2018
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