A novel usage of neural network in optimization and implementation to the internal flow systems
Aircraft Engineering and Aerospace Technology
ISSN: 0002-2667
Article publication date: 1 October 2005
Abstract
Purpose
To propose a robust and more effective algorithm for aerodynamic design optimization problem by using neural network.
Design/methodology/approach
Neural network and genetic algorithm (GA) are hybridized in a new way, and quasi one‐dimensional Euler equations are solved for internal flow in the nozzle.
Findings
The results indicate that the nozzle design can be performed successfully and quickly by using the implemented algorithm. It is observed that using the method decreased CFD solver calls about 21 and 46 per cent for transonic and supersonic flow, respectively.
Originality/value
It is the first time that the neural network is used for the candidate solution in the GA.
Keywords
Citation
Hacioğlu, A. (2005), "A novel usage of neural network in optimization and implementation to the internal flow systems", Aircraft Engineering and Aerospace Technology, Vol. 77 No. 5, pp. 369-375. https://doi.org/10.1108/00022660510617095
Publisher
:Emerald Group Publishing Limited
Copyright © 2005, Emerald Group Publishing Limited