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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
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    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

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