A Genetic Algorithm (GA) has been applied to optimize target pressure distributions for aerodynamic inverse design methods. Since GAs do not require any derivative information, the resulting aerodynamic optimization algorithm is robust. Once target pressure distributions are obtained, corresponding airfoil geometries can be computed by an inverse design code using a Navier-Stokes solver. Design samples indicate that supercritical airfoil shapes are reproduced by the simulated evolution of a GA.
|Number of pages||6|
|Journal||IEE Conference Publication|
|Publication status||Published - 1995 Jan 1|
|Event||Proceedings of the 1st IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications GALESIA '95 - Sheffield, Engl|
Duration: 1995 Sep 12 → 1995 Sep 14
ASJC Scopus subject areas
- Electrical and Electronic Engineering