51 citations · 88 across the 7 of their papers we have counts for
10 papers
A Methodology for Integrating Life Cycle Assessment into a Multidisciplinary Design Analysis and Optimization Framework for Sustainable Launcher Development
Alice De Oliveira, Mathieu Balesdent, Loïc Brevault +1
The increasing number of orbital and sub-orbital launches makes it necessary to investigate the environmental impacts of launch vehicles and incorporate eco-design considerations i…
Active learning strategy for excursion-set confidence regions of functional simulator outputs
Lucas Brunel, Mathieu Balesdent, Loïc Brevault +2
Estimating excursion set confidence regions seeks to identify regions where a function may exceed some threshold with a given confidence level. This paper focuses on estimating suc…
A survey on multi-fidelity surrogates for simulators with functional outputs: unified framework and benchmark
Lucas Brunel, Mathieu Balesdent, Loïc Brevault +2
Multi-fidelity surrogate models combining dimensionality reduction and an intermediate surrogate in the reduced space allow a cost-effective emulation of simulators with functional…
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables
Loic Brevault, Mathieu Balesdent
Complex system design problems, such as those involved in aerospace engineering, require the use of numerically costly simulation codes in order to predict the performance of the s…
Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities
Loïc Brevault, Mathieu Balesdent, Ali Hebbal
The design process of complex systems such as new configurations of aircraft or launch vehicles is usually decomposed in different phases which are characterized for instance by th…
Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes
Ali Hebbal, Loic Brevault, Mathieu Balesdent +2
Multi-fidelity approaches combine different models built on a scarce but accurate data-set (high-fidelity data-set), and a large but approximate one (low-fidelity data-set) in orde…