Approximate Modelling and Multi Objective Optimisation in Aeronautic Design

Article type: Research Article

Authors: Vankan, W.J. | Maas, R.

Affiliations: ICT Division of the National Aerospace Laboratory – NLR Amsterdam, The Netherlands

Abstract: An investigation of efficient approximation methods for computationally expensive objective functions in aeronautic multi-disciplinary design and multi objective optimisation is presented. Several approximation methods based on curve fitting using polynomials 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 preliminary design and multi objective optimisation study of a blended wing body aircraft.

Keywords: MDO, Pareto front, artificial neural networks, response surface methods, blended-wing-body aircraft, PSE

Keywords: 35Q80, 76T10, 37G15

DOI: 10.3233/JCM-2003-3309

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 3, no. 3, pp. 455-462, 2003