DeepGPLAEN aims to investigate the applicability of Deep Gaussian Process (DGP) as a surrogate model for stochastic design optimisation in aerospace engineering. In addition, DGP performance is going to be compared with traditional Gaussian Process (GP) performance when leading with non-stationary optimisation problems. The expected output of the project will be a optimisation open source toolbox for surrogate based aerodynamic design problems under uncertainty
