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Introduction to Surrogate Modeling and Surrogate-Based Optimization

In: Simulation-Driven Design by Knowledge-Based Response Correction Techniques

Author

Listed:
  • Slawomir Koziel

    (Reykjavik University, Engineering Optimization & Modeling Center)

  • Leifur Leifsson

    (Iowa State University, Department of Aerospace Engineering)

Abstract

Surrogate-based optimization (SBO) is the main focus of this book. We provide a brief introduction to the subject in this chapter. In particular, we recall the SBO concept and the optimization flow, discuss the principles of surrogate modeling and typical approaches to construct surrogate models. We also discuss the distinction between function approximation (or data-driven) surrogates and physics-based surrogates, as well as outline the algorithm of SBO exploiting the two aforementioned classes of models. More detailed information about the selected types of SBO algorithms (especially those involving response correction techniques) as well as illustration and application examples in various fields of engineering are provided in the remaining part of the book.

Suggested Citation

  • Slawomir Koziel & Leifur Leifsson, 2016. "Introduction to Surrogate Modeling and Surrogate-Based Optimization," Springer Books, in: Simulation-Driven Design by Knowledge-Based Response Correction Techniques, chapter 0, pages 31-61, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-30115-0_4
    DOI: 10.1007/978-3-319-30115-0_4
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