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The application of multi-objective evolutionary algorithm and surrogate model to aerodynamic robust optimization design

  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

13 引用 (Scopus)

摘要

According to the differences analysis compared with the traditional optimization method, here constructs an aerodynamic robust optimization design model aimed at the uncertainty influence of the flight environment parameter, and also demonstrates how both multi-objective evolutionary algorithm and surrogate model can be used to achieve robust optimal designs. Airfoil robust optimization example using the chosen technique has executed and then obtained the Pareto frontier of the result. The illustrated result shows that the robust optimization gets more stable performance and more advantage in aerodynamic design.

源语言英语
页(从-至)46-51
页数6
期刊Kongqi Donglixue Xuebao/Acta Aerodynamica Sinica
卷30
期1
出版状态已出版 - 2月 2012

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