OPTION: OPTImization Algorithm Benchmarking ONtology

21 November 2022

Papers citing "OPTION: OPTImization Algorithm Benchmarking ONtology"

7 / 7 papers shown

Title
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems Ryan Zhou Jaume Bacardit Alexander Brownlee Stefano Cagnoni Martin Fyvie Giovanni Iacca John Mccall Niki van Stein David Walker Ting-Kuei Hu 39 0 0 12 Jun 2024
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization Ana Kostovska Gjorgjina Cenikj Diederick Vermetten Anja Jankovic Ana Nikolikj Urban Škvorc Peter Korošec Carola Doerr T. Eftimov 30 1 0 14 Oct 2023
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 37 11 0 18 Jun 2023
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms Ana Kostovska Diederick Vermetten S. Džeroski P. Panov T. Eftimov Carola Doerr 12 8 0 24 Jan 2023
Explainable Model-specific Algorithm Selection for Multi-Label Classification Ana Kostovska Carola Doerr S. Džeroski D. Kocev P. Panov T. Eftimov 19 1 0 21 Nov 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 31 8 0 15 Apr 2022
Towards Feature-Based Performance Regression Using Trajectory Data Anja Jankovic T. Eftimov Carola Doerr 28 26 0 10 Feb 2021