Improvement of forward swept wing optimization in the compressible flow by using a hybrid method

Vatandas O. E., Altuntas Y., Celebi M.

7th International Conference on Recent Advances in Space Technologies, RAST 2015, İstanbul, Turkey, 16 - 19 June 2015, pp.21-25, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/rast.2015.7208309
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.21-25
  • Keywords: Artificial Neural Network, Aerodynamic wing optimization, Forward swept wing
  • Istanbul Gelisim University Affiliated: No

Abstract

The purpose of this study is to develop an effective hybrid aerodynamic optimization technique in the compressible flow for a forward swept wing (FSW) by using artificial neural network (ANN). ANN is hybridized with a genetic optimization method. This new optimization technique is observed much faster than Genetic Algorithm (GA). By using the method presented in this study, the drag coefficient can be reduced 30 percent faster than the conventional GA.