Representation method effects on vibrational genetic algorithm in 2-D airfoil design

Bu makalede iki boyutlu kanat tasarımı dahilinde kanat profil geometrisi temsil yönteminin optimizasyon sürecine etkileri test edilmiştir. Temsil yöntemleri olarak Parsec formülasyonu ve Bezier parametrik eğri yaklaşımı, optimizasyon yöntemi olarak ise reel kodlu titreşimli genetic algoritma dikkate alınmıştır. Yapılan çalışma sonucu Parsec yönteminin ses altı akış şartlarında tersten tasarım probleminde daha kısa sürede optimizasyona imkan sağladığı,buna karşılık Bezier parametrik eğri yönteminin ise ses civarı akış şartlarında daha çabuk yakınsamaya olanak verdiği gözlemlenmiştir.

İki boyutlu kanat profili tasarımında geometri temsil yönteminin titreşimli genetik algoritma üzerine etkileri

In this article, two different curve representation methods; Parsec and Bezier representation methods are tested via vibrational genetic algorithm [VGA] to show the effect of representation method on search type optimization process in 2-D airfoil design. From the results obtained, it is concluded that Parsec method has a better performance in subsonic flow conditions within the inverse design problem. On the other hand, it is also concluded that Bezier representation method is more efficient than Parsec in transonic flow regime.

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