Sequential Laplacian regularized V-optimal design of experiments for response surface modeling of expensive tests: An application in wind tunnel testing-Reference-Cited by-同舟云学术

Sequential Laplacian regularized V-optimal design of experiments for response surface modeling of expensive tests: An application in wind tunnel testing

Published:2019-02-19 Issue:5 Volume:51 Page:559-576
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Alaeddini Adel¹,Craft Edward²,Meka Rajitha¹,Martinez Stanford¹

Affiliation:

1. Mechanical Engineering, University of Texas at San Antonio, San Antonio, TX, USA;

2. University of Tennessee Space Institute, University of Tennessee, Tullahoma, TN, USA

Funder

Air Force Office of Scientific Research

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2018.1508928

Reference77 articles.

1. An Efficient Adaptive Sequential Methodology for Expensive Response Surface Optimization

2. Adaptive sequential experiment methodology for response surface optimisation

3. An Adaptive Sequential Experimentation Methodology for Expensive Response Surface Optimization - Case Study in Traumatic Brain Injury Modeling

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