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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

Jin Yi, Yichi Shen, Christine A. Shoemaker
2020 Structural And Multidisciplinary Optimization  
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