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Enhancing box-wing design efficiency through machine learning based optimization

Mehedi HASAN Azad KHANDOKER

中国航空学报(英文版)2025,Vol.38Issue(2):46-59,14.
中国航空学报(英文版)2025,Vol.38Issue(2):46-59,14.DOI:10.1016/j.cja.2024.08.047

Enhancing box-wing design efficiency through machine learning based optimization

Enhancing box-wing design efficiency through machine learning based optimization

Mehedi HASAN 1Azad KHANDOKER2

作者信息

  • 1. School of Astronautics,Beihang University,Beijing 100191,China
  • 2. Institute of Mechatronic Design and Production,Johannes Kepler University Linz,Linz 4040,Austria
  • 折叠

摘要

关键词

Box wing optimization/Aerodynamic shape opti-mization/Multi-objective optimiza-tion/Machine learning/Multi-fidelity method

Key words

Box wing optimization/Aerodynamic shape opti-mization/Multi-objective optimiza-tion/Machine learning/Multi-fidelity method

引用本文复制引用

Mehedi HASAN,Azad KHANDOKER..Enhancing box-wing design efficiency through machine learning based optimization[J].中国航空学报(英文版),2025,38(2):46-59,14.

基金项目

The funding for this publication was provided by Johannes Kepler University(JKU),Linz.Special thanks to Prof.Zong-min DENG from Beihang University for his invaluable guid-ance,insightful feedback,and constructive criticism,which greatly enhanced the quality of this manuscript.We extend our heartfelt gratitude to the PARSIFAL team for providing the supporting materials,which inspired this study. (JKU)

中国航空学报(英文版)

1000-9361

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