40 citations · 112 across the 13 of their papers we have counts for
6 papers · 1 filter
Automated Algorithm Selection for Radar Network Configuration
Quentin Renau, Johann Dreo, Alain Peres +3
The configuration of radar networks is a complex problem that is often performed manually by experts with the help of a simulator. Different numbers and types of radars as well as…
Extensible Logging and Empirical Attainment Function for IOHexperimenter
Johann Dreo, Manuel López-Ibáñez
In order to allow for large-scale, landscape-aware, per-instance algorithm selection, a benchmarking platform software is key. IOHexperimenter provides a large set of synthetic pro…
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics ---22 Years of Paradiseo---
Johann Dreo, Arnaud Liefooghe, Sébastien Verel +5
The success of metaheuristic optimization methods has led to the development of a large variety of algorithm paradigms. However, no algorithm clearly dominates all its competitors…
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks
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…
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions
Quentin Renau, Johann Dreo, Carola Doerr +1
Facilitated by the recent advances of Machine Learning (ML), the automated design of optimization heuristics is currently shaking up evolutionary computation (EC). Where the design…
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy
Quentin Renau, Carola Doerr, Johann Dreo +1
Exploratory landscape analysis (ELA) supports supervised learning approaches for automated algorithm selection and configuration by providing sets of features that quantify the mos…