Evaluating smart sampling for constructing multidimensional surrogate models

• Main Authors: Garud, Sushant S., Karimi, Iftekhar A., Brownbridge, George P.E., Kraft, Markus
• 其他作者: School of Chemical and Biomedical Engineering
• 格式: Article
• 語言: English
• 出版: 2019
• 主題: Adaptive Sampling; Experimental Design; DRNTU::Engineering::Chemical engineering
• 在線閱讀: https://hdl.handle.net/10356/90099; http://hdl.handle.net/10220/48382
• 機構: Nanyang Technological University

In this article, we extensively evaluate the smart sampling algorithm (SSA) developed by Garud et al. (2017a) for constructing multidimensional surrogate models. Our numerical evaluation shows that SSA outperforms Sobol sampling (QS) for polynomial and kriging surrogates on a diverse test bed of 13...