3 papers
cs.LG2026
Hierarchical Bayesian optimization of an aircraft-based multi-agent system-of-systems
Paul Saves, Thierry Lefebvre, Nathalie Bartoli +4
Developing innovative system architectures increasingly relies on advanced modeling and optimization techniques to frame the architecting process and define the corresponding compu…
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…