IDEAS home Printed from https://ideas.repec.org/h/ito/pchaps/112393.html
   My bibliography  Save this book chapter

Surrogate Modelling with Sequential Design for Expensive Simulation Applications

In: Computer Simulation

Author

Listed:
  • Joachim Van Der Herten
  • Tom Van Steenkiste
  • Ivo Couckuyt
  • Tom Dhaene

Abstract

The computational demands of virtual experiments for modern product development processes can get out of control due to fine resolution and detail incorporation in simulation packages. These demands for appropriate approximation strategies and reliable selection of evaluations to keep the amount of required evaluations were limited, without compromising on quality and requirements specified upfront. Surrogate models provide an appealing data-driven strategy to accomplish these goals for applications including design space exploration, optimization, visualization or sensitivity analysis. Extended with sequential design, satisfactory solutions can be identified quickly, greatly motivating the adoption of this technology into the design process.

Suggested Citation

  • Joachim Van Der Herten & Tom Van Steenkiste & Ivo Couckuyt & Tom Dhaene, 2017. "Surrogate Modelling with Sequential Design for Expensive Simulation Applications," Chapters, in: Dragan Mladen Cvetkovic (ed.), Computer Simulation, IntechOpen.
    • Handle: RePEc:ito:pchaps:112393
    DOI: 10.5772/67739
    as

    Download full text from publisher

    File URL: https://www.intechopen.com/chapters/54528
    Download Restriction: no
    File URL: https://libkey.io/10.5772/67739?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    surrogate modelling; sequential design; optimization; sensitivity analysis; active learning;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ito:pchaps:112393. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Slobodan Momcilovic (email available below). General contact details of provider: http://www.intechopen.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.