Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization

17 September 2021

Papers citing "Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization"

8 / 8 papers shown

Title
The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting Wrong G. Petelin Gjorgjina Cenikj 31 0 0 12 May 2025
Landscape Features in Single-Objective Continuous Optimization: Have We Hit a Wall in Algorithm Selection Generalization? Gjorgjina Cenikj G. Petelin Moritz Seiler Nikola Cenikj T. Eftimov 39 1 0 29 Jan 2025
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection Quentin Renau Emma Hart 33 1 0 24 Jun 2024
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
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
Towards the Inferrence of Structural Similarity of Combinatorial Landscapes Mingyu Huang Ke Li 31 0 0 05 Dec 2023
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 328 0 20 Sep 2021
Towards Feature-Based Performance Regression Using Trajectory Data Anja Jankovic T. Eftimov Carola Doerr 28 26 0 10 Feb 2021