Multifidelity surrogates are essential in cases where it is not affordable to have more than a few high-fidelity samples, but it is affordable to have as many low-fidelity samples as needed. In these cases, given a good correlation between the models, the performance of multifidelity models can be outstanding. The first objective of this paper is to discuss progress in creating accurate multifidelity surrogates when they are essential. A more ambiguous situation exists when it may be possible to afford enough high-fidelity samples to construct an accurate surrogate model. In that case, the question is whether a multifidelity surrogate will afford a substantial cost reduction for comparable accuracy. Our the second objective is to see if there are any indications under what circumstances this substantial cost reduction is realized. From the literature, it appears that it is hard to get an idea, in terms of cost savings, of when it is useful to invest the additional effort of creating and using multifidelity surrogates. It is observed that in some cases the inclusion of low-fidelity samples along with the high-fidelity samples in building multifidelity surrogates led to less accurate surrogates than just using the available high-fidelity samples.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Issues in Deciding Whether to Use Multifidelity Surrogates



    Published in:

    AIAA Journal ; 57 , 5 ; 2039-2054


    Publication date :

    2019-03-20


    Size :

    16 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






    RELIABLE MULTIDISCIPLINARY DESIGN OF A SUPERSONIC NOZZLE USING MULTIFIDELITY SURROGATES (AIAA 2017-3826)

    Fenrich, Richard W. / Alonso, Juan J. | British Library Conference Proceedings | 2017


    Multifidelity Uncertainty Quantification at NASA

    Geoff Bomarito / Jim Warner / Patrick Leser et al. | NTRS


    Multifidelity Optimization for High-Lift Airfoils

    Demange, Jean / Savill, A Mark / Kipouros, T. | AIAA | 2016