no code implementations • 28 Apr 2023 • Alexandre Quemy, Marc Schoenauer, Johann Dreo
Multi-objective AI planning suffers from a lack of benchmarks exhibiting known Pareto Fronts.
no code implementations • 27 Dec 2022 • Sebastian Lobentanzer, Patrick Aloy, Jan Baumbach, Balazs Bohar, Pornpimol Charoentong, Katharina Danhauser, Tunca Doğan, Johann Dreo, Ian Dunham, Adrià Fernandez-Torras, Benjamin M. Gyori, Michael Hartung, Charles Tapley Hoyt, Christoph Klein, Tamas Korcsmaros, Andreas Maier, Matthias Mann, David Ochoa, Elena Pareja-Lorente, Ferdinand Popp, Martin Preusse, Niklas Probul, Benno Schwikowski, Bünyamin Sen, Maximilian T. Strauss, Denes Turei, Erva Ulusoy, Judith Andrea Heidrun Wodke, Julio Saez-Rodriguez
Standardising the representation of biomedical knowledge among all researchers is an insurmountable task, hindering the effectiveness of many computational methods.
no code implementations • 7 May 2022 • Quentin Renau, Johann Dreo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr
The exact modeling of these instances is complex, as the quality of the configurations depends on a large number of parameters, on internal radar processing, and on the terrains on which the radars need to be placed.
no code implementations • 28 Sep 2021 • Johann Dreo, Manuel López-Ibáñez
IOHexperimenter provides a large set of synthetic problems, a logging system, and a fast implementation.
no code implementations • 2 May 2021 • Johann Dreo, Arnaud Liefooghe, Sébastien Verel, Marc Schoenauer, Juan J. Merelo, Alexandre Quemy, Benjamin Bouvier, Jan Gmys
The success of metaheuristic optimization methods has led to the development of a large variety of algorithm paradigms.
2 code implementations • 12 Feb 2021 • Amine Aziz-Alaoui, Carola Doerr, Johann Dreo
We present a first proof-of-concept use-case that demonstrates the efficiency of interfacing the algorithm framework ParadisEO with the automated algorithm configuration tool irace and the experimental platform IOHprofiler.
no code implementations • 1 Feb 2021 • Quentin Renau, Johann Dreo, Carola Doerr, Benjamin Doerr
We show that the classification accuracy transfers to settings in which several instances are involved in training and testing.
no code implementations • 19 Jun 2020 • Quentin Renau, Carola Doerr, Johann Dreo, Benjamin Doerr
While, not unexpectedly, increasing the number of sample points gives more robust estimates for the feature values, to our surprise we find that the feature value approximations for different sampling strategies do not converge to the same value.