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.


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    Title :

    Comparison of surrogate models in a multidisciplinary optimization framework for wing design


    Additional title:

    Vergleich von Surrogat-Modellen im Rahmen einer multidisziplinären Optimierung für den Tragflügelentwurf


    Contributors:

    Published in:

    AIAA Journal ; 48 , 5 ; 995-1006


    Publication date :

    2010


    Size :

    12 Seiten, 21 Bilder, 6 Tabellen, 25 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





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