کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1718797 | 1013870 | 2010 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Vibrational genetic algorithm enhanced with fuzzy logic and neural networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی هوافضا
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
A new optimization algorithm called multi-frequency vibrational genetic algorithm (mVGA) is significantly improved and tested for two different test cases: an inverse design of an airfoil in subsonic flow and a direct shape optimization of an airfoil in transonic flow. The algorithm emphasizes a new mutation application strategy and diversity variety, such as, the global random diversity and the local controlled diversity. The local controlled diversity is based on either a fuzzy logic controller or an artificial neural network depending on the problem type. For both of the demonstration problems considered, remarkable reductions in the computational times have been accomplished.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Aerospace Science and Technology - Volume 14, Issue 1, January–February 2010, Pages 56–64
Journal: Aerospace Science and Technology - Volume 14, Issue 1, January–February 2010, Pages 56–64
نویسندگان
Y. Volkan Pehlivanoglu, Oktay Baysal,