Fractional factorial design of genetic coding for aerodynamic optimization

Akira Oyama; Shigeru Obayashi; Kazuhiro Nakahashi; Naoki Hirose

Fractional factorial design of genetic coding for aerodynamic optimization

Akira Oyama, Shigeru Obayashi, Kazuhiro Nakahashi, Naoki Hirose

Creative Flow Research Division

Research output: Contribution to conference › Paper › peer-review

4 Citations (Scopus)

Abstract

Evolutionary Algorithms (EAs) based on structured coding have been proposed for aerodynamic optimization of wing design. Fractional factorial design is used to investigate interactions of the design variables to determine the appropriate coding structure for EAs in advance. To improve efficiency and accuracy of this approach, parameterization techniques of airfoil shapes are first tested through reproduction of a NASA supercritical airfoil. Their performance is also examined by performing aerodynamic design optimization coupled with a two-dimensional Navier-Stokes code. Finally, three-dimensional wing design is optimized based on a potential flow code and the design result is presented.

Original language	English
Pages	429-439
Number of pages	11
Publication status	Published - 1999
Event	14th Computational Fluid Dynamics Conference, 1999 - Norfolk, United States Duration: 1999 Nov 1 → 1999 Nov 5

Other

Other	14th Computational Fluid Dynamics Conference, 1999
Country	United States
City	Norfolk
Period	99/11/1 → 99/11/5

ASJC Scopus subject areas

Engineering(all)

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title = "Fractional factorial design of genetic coding for aerodynamic optimization",

abstract = "Evolutionary Algorithms (EAs) based on structured coding have been proposed for aerodynamic optimization of wing design. Fractional factorial design is used to investigate interactions of the design variables to determine the appropriate coding structure for EAs in advance. To improve efficiency and accuracy of this approach, parameterization techniques of airfoil shapes are first tested through reproduction of a NASA supercritical airfoil. Their performance is also examined by performing aerodynamic design optimization coupled with a two-dimensional Navier-Stokes code. Finally, three-dimensional wing design is optimized based on a potential flow code and the design result is presented.",

author = "Akira Oyama and Shigeru Obayashi and Kazuhiro Nakahashi and Naoki Hirose",

note = "Publisher Copyright: {\textcopyright} 1999 American Institute of Aerhnautics and Astronautics, Inc., 1999. AU rights reserved. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 14th Computational Fluid Dynamics Conference, 1999 ; Conference date: 01-11-1999 Through 05-11-1999",

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T1 - Fractional factorial design of genetic coding for aerodynamic optimization

AU - Oyama, Akira

AU - Obayashi, Shigeru

AU - Nakahashi, Kazuhiro

AU - Hirose, Naoki

PY - 1999

Y1 - 1999

N2 - Evolutionary Algorithms (EAs) based on structured coding have been proposed for aerodynamic optimization of wing design. Fractional factorial design is used to investigate interactions of the design variables to determine the appropriate coding structure for EAs in advance. To improve efficiency and accuracy of this approach, parameterization techniques of airfoil shapes are first tested through reproduction of a NASA supercritical airfoil. Their performance is also examined by performing aerodynamic design optimization coupled with a two-dimensional Navier-Stokes code. Finally, three-dimensional wing design is optimized based on a potential flow code and the design result is presented.

AB - Evolutionary Algorithms (EAs) based on structured coding have been proposed for aerodynamic optimization of wing design. Fractional factorial design is used to investigate interactions of the design variables to determine the appropriate coding structure for EAs in advance. To improve efficiency and accuracy of this approach, parameterization techniques of airfoil shapes are first tested through reproduction of a NASA supercritical airfoil. Their performance is also examined by performing aerodynamic design optimization coupled with a two-dimensional Navier-Stokes code. Finally, three-dimensional wing design is optimized based on a potential flow code and the design result is presented.

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