2 papers
math.OC2026
Efficient multidisciplinary design via Bayesian optimization
Nathalie Bartoli, Thierry Lefebvre, Rémi Lafage +3
This study introduces SEGOMOE, a Bayesian optimization tool for optimizing complex, computationally expensive systems, especially in aeronautics. It efficiently handles mixed desig…
cs.LG2025
Modèles de Substitution pour les Modèles à base d'Agents : Enjeux, Méthodes et Applications
Paul Saves, Nicolas Verstaevel, Benoît Gaudou
Multi-agent simulations enables the modeling and analyses of the dynamic behaviors and interactions of autonomous entities evolving in complex environments. Agent-based models (ABM…