Approximate Modelling and Multi Objective Optimisation in Aeronautic Design

Abstract

An investigation of efficient approximation methods for computationally expen- sive objective functions in aeronautic multi-disciplinary design and multi objective optimi- sation is presented. Several approximation methods based on curve fitting using polyno- mials and artificial neural networks are considered. A comparison of these approximation methods in terms of the achieved quality and accuracy and the required computational cost will be presented. The approximation models have been successfully applied in a pre- liminary design and multi objective optimisation study of a blended wing body aircraft.