Weight Function-based Sequential Maximin Distance Design to Enhance Accuracy and Robustness of Surrogate Model
- Authors
- Jang, Junyong; Cho, Su-gil; Lee, Tae Hee
- Issue Date
- Apr-2015
- Publisher
- KOREAN SOC MECHANICAL ENGINEERS
- Keywords
- Sequential Design of Experiment; Maximin Distance Design; Space Filling Design; Kriging Surrogate Model; Correlation Coefficient
- Citation
- TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, v.39, no.4, pp.369 - 374
- Indexed
- SCOPUS
KCI
- Journal Title
- TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A
- Volume
- 39
- Number
- 4
- Start Page
- 369
- End Page
- 374
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157553
- DOI
- 10.3795/KSME-A.2015.39.4.369
- ISSN
- 1226-4873
- Abstract
- In order to efficiently optimize the problem involving complex computer codes or computationally expensive simulation, surrogate models are widely used. Because their accuracy significantly depends on sample points, many experimental designs have been proposed. One approach is the sequential design of experiments that consider existing information of responses. In earlier research, the correlation coefficients of the kriging surrogate model are introduced as weight parameters to define the scaled distance between sample points. However, if existing information is incorrect or lacking, new sample points can be misleading. Thus, our goal in this paper is to propose a weight function derived from correlation coefficients to generate new points robustly. To verify the performance of the proposed method, several existing sequential design methods are compared for use as mathematical examples.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157553)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.