Smart Sampling Algorithm for Surrogate Model Development

•Novel sampling technique for surrogate modelling of arbitrary functions.•Sample points are placed adaptively based on spatial and quality considerations.•Optimal sample placement is formulated as an NLP using surrogate models.•Our technique outperforms uniform, random, and Sobol sampling on 1-varia...

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Bibliographic Details

Published in:	Computers & chemical engineering Vol. 96; pp. 103 - 114
Main Authors:	Garud, Sushant Suhas, Karimi, I.A., Kraft, Markus
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 04.01.2017
Subjects:	Accuracy Adaptive surrogate modelling Algorithms Chemical engineering Computational efficiency Mathematical analysis Mathematical models Nonlinear programming Point placement Sampling Smart sampling Smart sampling Point placement Adaptive surrogate modelling
ISSN:	0098-1354, 1873-4375
Online Access:	Get full text
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