most citedSurrogate-based optimization of system architectures subject to hidden constraints

7 citations · 9 across the 7 of their papers we have counts for

collaborators

7 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…

math.OC2026

Transfer Learning in Bayesian Optimization for Aircraft Design

Ali Tfaily, Youssef Diouane, Nathalie Bartoli +1

The use of transfer learning within Bayesian optimization addresses the disadvantages of the so-called \textit{cold start} problem by using source data to aid in the optimization o…

math.OC2026

Multi-fidelity approaches for general constrained Bayesian optimization with application to aircraft design

Oihan Cordelier, Youssef Diouane, Nathalie Bartoli +1

Aircraft design relies heavily on solving challenging and computationally expensive Multidisciplinary Design Optimization problems. In this context, there has been growing interest…

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★ 2 cited

Modeling Hierarchical Spaces: A Review and Unified Framework for Surrogate-Based Architecture Design

Paul Saves, Edward Hallé-Hannan, Jasper Bussemaker +2

Simulation-based problems involving mixed-variable inputs frequently feature domains that are hierarchical, conditional, heterogeneous, or tree-structured. These characteristics po…

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…