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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    Titel :

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


    Weitere Titelangaben:

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


    Beteiligte:

    Erschienen in:

    AIAA Journal ; 48 , 5 ; 995-1006


    Erscheinungsdatum :

    2010


    Format / Umfang :

    12 Seiten, 21 Bilder, 6 Tabellen, 25 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch





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    MULTIDISCIPLINARY DESIGN OPTIMIZATION OF SUPERSONIC TRANSPORT WING USING SURROGATE MODEL

    Seto, N. / International Council of the Aeronautical Sciences; Optimage Ltd | British Library Conference Proceedings | 2010


    Surrogate Based Optimization for Multidisciplinary Design

    Boussouf, Loïc | SAE Technical Papers | 2011


    Multidisciplinary Wing Design Optimization

    Guenov, Marin D. / Kesseler, Ernst | AIAA | 2010