Approaches for optimizing surrogate models considering uncertain parameters

نویسندگان

چکیده

Surrogate models are a common tool to perform expensive optimization or uncertainty analysis in cost-effective way. The structure and the application of surrogate is well known, but there still potential for improvement. model can be divided into three parts, which considered separately. sampling plan, black box selection itself. plan presented on basis two case studies. In plans, example FOSS method used show how points found an optimized with low number points. It taken account that result space not uniformly relevant consideration fuzzy parameters. If problem from mechanics, known information modeling. For Finite-Element-Method (FEM) box, it makes sense consider maximum possible accuracy FEM-black regard As study shows, reduction FEM calculation, by using lower mesh density, lead increasing model.

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ژورنال

عنوان ژورنال: Proceedings in applied mathematics & mechanics

سال: 2023

ISSN: ['1617-7061']

DOI: https://doi.org/10.1002/pamm.202200036