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Overview of Gaussian process based multi-fidelity techniques with variable relationship between fidelities
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.
Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes
Gaussian Processes (GPs) are one of the popular approaches to exhibit the correlations between these different fidelity levels.
Bayesian Optimization using Deep Gaussian Processes
To overcome this issue, a new Bayesian Optimization approach is proposed.
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