A Kriging-based adaptive parallel sampling approach with threshold value-Reference-Cited by-同舟云学术

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A Kriging-based adaptive parallel sampling approach with threshold value

Published:2022-08 Issue:8 Volume:65 Page:
ISSN:1615-147X
Container-title:Structural and Multidisciplinary Optimization
language:en
Short-container-title:Struct Multidisc Optim

Author:

Zhao Dongfang,Ma Minghao,You Xue-yi

Funder

National Key R&D Program of China

China Railway Construction Group Co. Ltd.

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s00158-022-03310-0.pdf

Reference52 articles.

1. Akbari H, Kazerooni A (2020) KASRA: A kriging-based adaptive space reduction algorithm for global optimization of computationally expensive black-box constrained problems. Appl Soft Comput J 90:106154. https://doi.org/10.1016/j.asoc.2020.106154

2. Aute V, Saleh K, Abdelaziz O, Azarm S, Radermacher R (2013) Cross-validation based single response adaptive design of experiments for Kriging metamodeling of deterministic computer simulations. Struct Multidisc Optim 48:581–605. https://doi.org/10.1007/s00158-013-0918-5

3. Chan L, Chen J (2017) Probabilistic uncertainty based simultaneous process design and control with iterative expected improvement model. Comput Chem Eng 106:609–620. https://doi.org/10.1016/j.compchemeng.2017.07.011

4. Chang JS, Liu WL, Tang JK, Lin WC, Chiou YJ (2014) Expected improvement in efficient experimental design supported by a global optimizer. J Taiwan Inst Chem Eng 45(4):1369–1388. https://doi.org/10.1016/j.jtice.2014.02.005

5. Chen LM, Qiu HB, Gao L, Jiang C, Yang Z (2019) A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems. Appl Math Model 69:15–31. https://doi.org/10.1016/j.apm.2018.11.048

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