The paper discusses strategies for metamodels in optimization problems involving expensive high-fidelity analysis tools. A strategy to assess the accuracy of the metamodels and to increase their completeness and fidelity during the optimization process is suggested and evaluated.


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    Titel :

    Self-Learning Metamodels for Optimization


    Beteiligte:

    Erschienen in:

    Ship Technology Research ; 56 , 3 ; 95-109


    Erscheinungsdatum :

    01.07.2009


    Format / Umfang :

    15 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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