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A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems
2020
Structural And Multidisciplinary Optimization
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This paper presents a multi-fidelity RBF (radial basis function) surrogate-based optimization framework (MRSO) for computationally expensive multi-modal optimization problems when multi-fidelity (high-fidelity ...
The performance of MRSO is compared with 6 other surrogate-based optimization methods (4 are using a single-fidelity surrogate and the rest 2 are using multi-fidelity surrogates). ...
The computational work for this article was partially performed at the National Supercomputing Centre, Singapore.
Compliance with ethical standards ...
doi:10.1007/s00158-020-02575-7
fatcat:bisttgm2tngj3myqttkbwijv7q