YAPAY SİNİR AĞI İLE GÜÇLENDİRİLMİŞ GENETİK ALGORİTMA VE TERSTEN KANAT PROFİLİ DİZAYNI

Authors

  • Abdurrahman Hacıoğlu

Keywords:

Airfoil, Inverse Design, Neural Network, Genetic Algorithm

Abstract

Augmented Genetic Algorithm with Neural Network and Implementation to Inverse Airfoil
Design
In this study, an augmented genetic algorithm via artificial neural network has been introduced, and its
implementation to the inverse airfoil design problem is demonstrated. Neural network and a real coded genetic
algorithm are hybridized in a new way with the purpose of getting a faster algorithm. In this approximation,
instead of predicting computational fluid dynamics calculations of a candidate airfoil, neural network is used for
predicting candidate itself. This powerful method is tested for an inverse airfoil design problem in transonic flow
cases. The computational efficiency of this implemented algorithm is tremendously high, and due to still being
genetic algorithm based technique, this new method is also as robust as the pure genetic algorithms.

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Published

26-01-2004

How to Cite

[1]
A. Hacıoğlu, “YAPAY SİNİR AĞI İLE GÜÇLENDİRİLMİŞ GENETİK ALGORİTMA VE TERSTEN KANAT PROFİLİ DİZAYNI”, JAST, vol. 1, no. 3, pp. 1–7, Jan. 2004.

Issue

Vol. 1 No. 3 (2004)

Section

Articles

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