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

Jiao Zan Li, Zheng Hong Gao

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)46-51
Number of pages6
JournalKongqi Donglixue Xuebao/Acta Aerodynamica Sinica
Volume30
Issue number1
StatePublished - Feb 2012

Keywords

  • Airfoil
  • Multi-objective evolutionary
  • Robust optimization design
  • Surrogate model

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