53 citations · 56 across the 2 of their papers we have counts for
4 papers
Learning non-stationary and discontinuous functions using clustering, classification and Gaussian process modelling
M. Moustapha, B. Sudret
Surrogate models have shown to be an extremely efficient aid in solving engineering problems that require repeated evaluations of an expensive computational model. They are built b…
A two-level Kriging-based approach with active learning for solving time-variant risk optimization problems
H. M. Kroetz, M. Moustapha, A. T. Beck +1
Several methods have been proposed in the literature to solve reliability-based optimization problems, where failure probabilities are design constraints. However, few methods addr…
Surrogate-assisted reliability-based design optimization: a survey and a new general framework
M. Moustapha, B. Sudret
Reliability-based design optimization (RBDO) is an active field of research with an ever increasing number of contributions. Numerous methods have been proposed for the solution of…
Quantile-based optimization under uncertainties using adaptive Kriging surrogate models
M. Moustapha, B. Sudret, J. -M. Bourinet +1
Uncertainties are inherent to real-world systems. Taking them into account is crucial in industrial design problems and this might be achieved through reliability-based design opti…