The replacement of the analysis portion of an optimization problem by its equivalent metamodel usually results in a lower computational cost In this paper, a conventional nonapproximative approach is compared against three different metamodels: quadratic-interpolation-based response surfaces, Kriging, and artificial neural networks. The results obtained from the solution of four different case studies based on aircraft design problems reinforces the idea that quadratic Interpolation is only well-suited to very simple problems. At higher dimensionality, the usage of the more complex Kriging and artificial neural networks models may result in considerable performance benefits.
Comparison of surrogate models in a multidisciplinary optimization framework for wing design
Vergleich von Surrogat-Modellen im Rahmen einer multidisziplinären Optimierung für den Tragflügelentwurf
AIAA Journal ; 48 , 5 ; 995-1006
2010
12 Seiten, 21 Bilder, 6 Tabellen, 25 Quellen
Aufsatz (Zeitschrift)
Englisch
Comparison of Surrogate Models in a Multidisciplinary Optimization Framework for Wing Design
Online Contents | 2010
|MULTIDISCIPLINARY DESIGN OPTIMIZATION OF SUPERSONIC TRANSPORT WING USING SURROGATE MODEL
British Library Conference Proceedings | 2010
|Surrogate Based Optimization for Multidisciplinary Design
SAE Technical Papers | 2011
|Multidisciplinary Wing Design Optimization
AIAA | 2010
|