IMPROVED PARTICLE SWARM OPTIMIZATION METHOD DIRECTED BY INDIRECT SURROGATE MODELING

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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Detalles Bibliográficos
Autores principales: Yasin Volkan Pehlivanoğlu, Serdar Ay, Faruk Gül
Formato: Artículo
Lenguaje:English
Publicado: Turkish Air Force Academy 2015-01-01
Colección:Havacılık ve Uzay Teknolojileri Dergisi
Materias:
PSO
Surrogate Modeling
Inverse Design
Acceso en línea:http://www.jast.hho.edu.tr/JAST/index.php/JAST/article/view/52/45

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