An adaptive PCE-HDMR metamodeling approach for high-dimensional problems

Metamodel-based high-dimensional model representation (HDMR) has recently been developed as a promising tool for approximating high-dimensional and computationally expensive problems in engineering design and optimization. However, current stand-alone Cut-HDMRs usually come across the problem of pre...

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Veröffentlicht in:	Structural and multidisciplinary optimization Jg. 64; H. 1; S. 141 - 162
Hauptverfasser:	Yue, Xinxin, Zhang, Jian, Gong, Weijie, Luo, Min, Duan, Libin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2021 Springer Nature B.V
Schlagworte:	Algorithms Approximation Computational Mathematics and Numerical Analysis Design engineering Design optimization Dimensional analysis Engineering Engineering Design Functions (mathematics) Mathematical analysis Mathematical functions Metamodels Polynomials Rectangles Research Paper Robustness (mathematics) Sampling methods Structural hierarchy Theoretical and Applied Mechanics Polynomial chaos expansion (PCE) Adaptive sampling High-dimensional model representation (HDMR) Metamodeling Design optimization
ISSN:	1615-147X, 1615-1488
Online-Zugang:	Volltext
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