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BBOB Instance Analysis: Landscape Properties and Algorithm Performance
  across Problem Instances

BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances

29 November 2022
F. Long
Diederick Vermetten
Bas van Stein
Anna V. Kononova
ArXivPDFHTML

Papers citing "BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances"

13 / 13 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
39
0
0
12 May 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
37
0
0
02 Sep 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
33
2
0
20 May 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
28
0
0
12 Feb 2024
Explainable Benchmarking for Iterative Optimization Heuristics
Explainable Benchmarking for Iterative Optimization Heuristics
Niki van Stein
Diederick Vermetten
Anna V. Kononova
Thomas Bäck
37
12
0
31 Jan 2024
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine
  Combinations and Shifts
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts
Diederick Vermetten
Furong Ye
Thomas Bäck
Carola Doerr
21
8
0
18 Dec 2023
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating
  AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
Diederick Vermetten
Furong Ye
Thomas Bäck
Carola Doerr
39
11
0
18 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
33
6
0
24 May 2023
Analysis of modular CMA-ES on strict box-constrained problems in the
  SBOX-COST benchmarking suite
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
Diederick Vermetten
Manuel López-Ibánez
Olaf Mersmann
Richard Allmendinger
Anna V. Kononova
25
5
0
24 May 2023
Modular Differential Evolution
Modular Differential Evolution
Diederick Vermetten
Fabio Caraffini
Anna V. Kononova
Thomas Bäck
28
16
0
19 Apr 2023
Computational and Exploratory Landscape Analysis of the GKLS Generator
Computational and Exploratory Landscape Analysis of the GKLS Generator
J. Kůdela
M. Juricek
29
5
0
18 Apr 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
29
11
0
08 Mar 2023
IOHexperimenter: Benchmarking Platform for Iterative Optimization
  Heuristics
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
Jacob De Nobel
Furong Ye
Diederick Vermetten
Hao Wang
Carola Doerr
Thomas Bäck
40
41
0
07 Nov 2021
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