ON NOVEL USAGE OF A HYBRID METHOD (ANN and GA) FOR FASTER 3-D AERODYNAMIC OPTIMIZATION

ON NOVEL USAGE OF A HYBRID METHOD (ANN and GA) FOR FASTER 3-D AERODYNAMIC OPTIMIZATION

The purpose of this study is to offer a more efficient hybrid aerodynamic optimization method for 3-D wing configurations by using both genetic and artificial neural network. Artificial Neural Network (ANN) is used with a new approach in the aerodynamic optimization of a forward swept wing. The deve...

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Bibliographic Details
Main Author: Ergüven Vatandaş
Format: Article
Language:English
Published: Hezarfen Aeronautics and Space Technologies Institue 2017-07-01
Series:Havacılık ve Uzay Teknolojileri Dergisi
Subjects:
Hybrid optimization techniques
3-D Aerodynamic optimization
Forward swept wings
Online Access:http://www.jast.hho.edu.tr/JAST/index.php/JAST/article/view/2/5
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spelling doaj-16ca640f2cfa4349aff0fd977ea7b5a62020-11-25T02:12:19ZengHezarfen Aeronautics and Space Technologies InstitueHavacılık ve Uzay Teknolojileri Dergisi1304-04481304-04482017-07-0110216ON NOVEL USAGE OF A HYBRID METHOD (ANN and GA) FOR FASTER 3-D AERODYNAMIC OPTIMIZATIONErgüven Vatandaş0İstanbul Gelişim ÜniversityThe purpose of this study is to offer a more efficient hybrid aerodynamic optimization method for 3-D wing configurations by using both genetic and artificial neural network. Artificial Neural Network (ANN) is used with a new approach in the aerodynamic optimization of a forward swept wing. The developed technique has been found much more robust than Genetic Algorithm (GA) only methods. For example, the new hybrid technique acquires the same fitness level as the one that GA only method can reach in 500 calculations, in about half time (about 250 calculations). The drag coefficient reduction is calculated %33 faster in the offered method. The neural network is embedded into the genetic algorithm along with augmented elitism to prevent possible bad members in the generations.http://www.jast.hho.edu.tr/JAST/index.php/JAST/article/view/2/5Hybrid optimization techniques3-D Aerodynamic optimizationForward swept wings
collection DOAJ
language English
format Article
sources DOAJ
author Ergüven Vatandaş
spellingShingle Ergüven Vatandaş
ON NOVEL USAGE OF A HYBRID METHOD (ANN and GA) FOR FASTER 3-D AERODYNAMIC OPTIMIZATION
Havacılık ve Uzay Teknolojileri Dergisi
Hybrid optimization techniques
3-D Aerodynamic optimization
Forward swept wings
author_facet Ergüven Vatandaş
author_sort Ergüven Vatandaş
title ON NOVEL USAGE OF A HYBRID METHOD (ANN and GA) FOR FASTER 3-D AERODYNAMIC OPTIMIZATION
title_short ON NOVEL USAGE OF A HYBRID METHOD (ANN and GA) FOR FASTER 3-D AERODYNAMIC OPTIMIZATION
title_full ON NOVEL USAGE OF A HYBRID METHOD (ANN and GA) FOR FASTER 3-D AERODYNAMIC OPTIMIZATION
title_fullStr ON NOVEL USAGE OF A HYBRID METHOD (ANN and GA) FOR FASTER 3-D AERODYNAMIC OPTIMIZATION
title_full_unstemmed ON NOVEL USAGE OF A HYBRID METHOD (ANN and GA) FOR FASTER 3-D AERODYNAMIC OPTIMIZATION
title_sort on novel usage of a hybrid method (ann and ga) for faster 3-d aerodynamic optimization
publisher Hezarfen Aeronautics and Space Technologies Institue
series Havacılık ve Uzay Teknolojileri Dergisi
issn 1304-0448
1304-0448
publishDate 2017-07-01
description The purpose of this study is to offer a more efficient hybrid aerodynamic optimization method for 3-D wing configurations by using both genetic and artificial neural network. Artificial Neural Network (ANN) is used with a new approach in the aerodynamic optimization of a forward swept wing. The developed technique has been found much more robust than Genetic Algorithm (GA) only methods. For example, the new hybrid technique acquires the same fitness level as the one that GA only method can reach in 500 calculations, in about half time (about 250 calculations). The drag coefficient reduction is calculated %33 faster in the offered method. The neural network is embedded into the genetic algorithm along with augmented elitism to prevent possible bad members in the generations.
topic Hybrid optimization techniques
3-D Aerodynamic optimization
Forward swept wings
url http://www.jast.hho.edu.tr/JAST/index.php/JAST/article/view/2/5
work_keys_str_mv AT erguvenvatandas onnovelusageofahybridmethodannandgaforfaster3daerodynamicoptimization
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