Geometric feature knowledge-driven surrogate-based optimization via aerodynamic supervised autoencoder

•An aerodynamic supervised autoencoder is proposed to learn geometric feature correlated with aerodynamic responses with limited aerodynamic data.•The correlation between geometric features and aerodynamic responses is utilized to guide the initial sampling toward regions near the optimum.•The Eucli...

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Veröffentlicht in:	Aerospace science and technology Jg. 168; S. 111028
Hauptverfasser:	Ma, Long, Wu, Xiaojing, Zuo, Zijun, Zhang, Weiwei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Masson SAS 01.01.2026
Schlagworte:	Aerodynamic shape optimization Autoencoder Feature learning Geometric knowledge Intelligent sampling Feature learning Aerodynamic shape optimization Autoencoder Intelligent sampling Geometric knowledge
ISSN:	1270-9638
Online-Zugang:	Volltext
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