activity
20222026
most citedSMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes

125 citations · 195 across the 12 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.AI2025

System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility

Paul Saves, Jasper Bussemaker, Rémi Lafage +4

For developing innovative systems architectures, modeling and optimization techniques have been central to frame the architecting process and define the optimization and modeling p…

cs.LG2025★ 3 cited

Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications

Nathalie Bartoli, Thierry Lefebvre, Rémi Lafage +8

This work aims at developing new methodologies to optimize computational costly complex systems (e.g., aeronautical engineering systems). The proposed surrogate-based method (often…

cs.LG2025★ 7 cited

Surrogate-based optimization of system architectures subject to hidden constraints

Jasper Bussemaker, Paul Saves, Nathalie Bartoli +2

The exploration of novel architectures requires physics-based simulation due to a lack of prior experience to start from, which introduces two specific challenges for optimization…

stat.ME2025★ 9 cited

Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design

Paul Saves, Nathalie Bartoli, Youssef Diouane +5

Multidisciplinary design optimization methods aim at adapting numerical optimization techniques to the design of engineering systems involving multiple disciplines. In this context…

cs.LG2025★ 11 cited

Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design

Robin Grapin, Youssef Diouane, Joseph Morlier +4

Bayesian optimization is an advanced tool to perform ecient global optimization It consists on enriching iteratively surrogate Kriging models of the objective and the constraints b…

math.OC2025★ 11 cited

System Architecture Optimization Strategies: Dealing with Expensive Hierarchical Problems

Jasper H. Bussemaker, Paul Saves, Nathalie Bartoli +2

Choosing the right system architecture for the problem at hand is challenging due to the large design space and high uncertainty in the early stage of the design process. Formulati…