In this chapter, the surrogate-based optimization (SBO) paradigm is formulated. We discuss SBO on a generic level, including the optimization flow, fundamental properties of the SBO process, and typical ways of constructing the surrogate. We emphasize a distinction between function approximation and physics-based surrogates as well as discuss the issues of exploration and exploitation of the design space in the context of SBO.
CITATION STYLE
Koziel, S., & Ogurtsov, S. (2014). Surrogate-Based Optimization (pp. 13–24). https://doi.org/10.1007/978-3-319-04367-8_3
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