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...
| Главные авторы: | , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Turkish Air Force Academy
2015-01-01
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| Серии: | Havacılık ve Uzay Teknolojileri Dergisi |
| Предметы: | |
| Online-ссылка: | http://www.jast.hho.edu.tr/JAST/index.php/JAST/article/view/52/45 |