ASTOLFI , Jacques André

This paper investigates the use of constrained surrogate models to solve the multi-design optimization problem of a flexible hydrofoil. The surrogate-based optimization (EGO) substitutes the complex objective function of the problem by an easily evaluable model, constructed from a limited number of computations at carefully selected design...

In this work, we compare the use of Gaussian Process (GP) models for the constraints with a classification approach relying on a Least-Squares Support Vector Machine (LS-SVM). We propose several adaptations of the classification approach in order to improve the efficiency of the EGO procedure, in particular an extension of the binary LS-SVM...