Journal of computational fluids engineering (한국전산유체공학회지)

Korean Society of Computational Fluids Engineering (한국전산유체공학회)
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A NOVEL METHOD FOR REFINING A META-MODEL BY PARETO FRONTIER

파레토 프론티어를 이용한 메타모델 정예화 기법 개발

  • 조성종 (부산대학교 대학원 항공우주공학과) ;
  • 채상현 (부산대학교 대학원 항공우주공학과) ;
  • 이관중 (부산대학교)
  • Published : 2009.12.31
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Abstract

Although optimization by sequentially refining metamodels is known to be computationally very efficient, the metamodel that can be used for this purpose is limited to Kriging method due to the difficulties related with sample points selections. The present study suggests a novel method for sequentially refining metamodels using Pareto Frontiers, which can be used independent of the type of metamodels. It is shown from the examples that the present method yields more accurate metamodels compared with full-factorial optimization and also guarantees global optimum irrespective of the initial conditions. Finally, in order to prove the generality of the present method, it is applied to a 2D transonic airfoil optimization problem, and the successful design results are obtained.

Keywords

References

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