IMPROVED PARTICLE SWARM OPTIMIZATION METHOD DIRECTED BY INDIRECT SURROGATE MODELING

An improved particle swarm optimization algorithm is proposed and tested for two different test cases: surface fitting of a wing shape and an inverse design of an airfoil in subsonic flow. The new algorithm emphasizes the use of an indirect design prediction based on a local surrogate modeling as a...

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Bibliographic Details
Main Authors: Yasin Volkan Pehlivanoğlu, Serdar Ay, Faruk Gül
Format: Article
Language:English
Published: Hezarfen Aeronautics and Space Technologies Institue 2015-01-01
Series:Havacılık ve Uzay Teknolojileri Dergisi
Subjects:
PSO
Online Access:http://www.jast.hho.edu.tr/JAST/index.php/JAST/article/view/52/45