| HAL-Inria | Publications, software ... of Inria's scientists |
Journal articles
Multifidelity surrogate modeling based on Radial Basis Functions
Abstract : Multiple models of a physical phenomenon are sometimes available with different levels of approximation. The high fidelity model is more computation-ally demanding than the coarse approximation. In this context, including information from the lower fidelity model to build a surrogate model is desirable. Here, the study focuses on the design of a miniaturized photoa-coustic gas sensor which involves two numerical models. First, a multifidelity metamodeling method based on Radial Basis Function, the co-RBF, is proposed. This surrogate model is compared with the classical co-kriging method on two analytical benchmarks and on the photoacoustic gas sensor. Then an extension to the multifidelity framework of an already existing RBF-based optimization algorithm is applied to optimize the sensor efficiency. The co-RBF method brings promising results on a problem in larger dimension and can be considered as an alternative to co-kriging for multifi-delity metamodeling.
Cited literature [31 references]
https://hal.inria.fr/hal-01660796
Contributor : Jean-Antoine Désidéri <>
Submitted on : Monday, December 11, 2017 - 1:45:15 PM
Last modification on : Wednesday, June 2, 2021 - 4:34:02 PM
Contributor : Jean-Antoine Désidéri <>
Submitted on : Monday, December 11, 2017 - 1:45:15 PM
Last modification on : Wednesday, June 2, 2021 - 4:34:02 PM
File
coRBF_durantin_review.pdf
Files produced by the author(s)