An efficient robust aerodynamic design optimization method based on a multi-level hierarchical Kriging model and multi-fidelity expected improvement-Reference-Cited by-同舟云学术

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An efficient robust aerodynamic design optimization method based on a multi-level hierarchical Kriging model and multi-fidelity expected improvement

Published:2024-09 Issue: Volume:152 Page:109401
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Zhang Yu^ORCID,Han Zhong-hua^ORCID,Song Wen-ping

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference49 articles.

1. Studies in aerodynamic optimization based on genetic algorithms;Antunes;AIAA J.,2014

2. Aerodynamic design via control theory;Jameson;J. Sci. Comput.,1988

3. Surrogate-based analysis and optimization;Queipo;Prog. Aerosp. Sci.,2005

4. Recent advances in surrogate-based optimization;Forrester;Prog. Aerosp. Sci.,2009

5. Uncertainty Analysis For Fluid Mechanics With applications. NASA CR2002211449;Walters,2002

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