Search Results for author: Mathieu Balesdent

Found 4 papers, 0 papers with code

Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities

no code implementations30 Jun 2020 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 the depth of the analyses in terms of number of design variables and fidelity of the physical models.

Gaussian Processes

Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes

no code implementations29 Jun 2020 Ali Hebbal, Loic Brevault, Mathieu Balesdent, El-Ghazali Talbi, Nouredine Melab

Gaussian Processes (GPs) are one of the popular approaches to exhibit the correlations between these different fidelity levels.

Gaussian Processes

Bayesian optimization of variable-size design space problems

no code implementations6 Mar 2020 Julien Pelamatti, Loic Brevault, Mathieu Balesdent, El-Ghazali Talbi, Yannick Guerin

This results in an optimization problem for which the search space varies dynamically (with respect to both number and type of variables) along the optimization process as a function of the values of specific discrete decision variables.

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