Fractional factorial design of genetic coding for aerodynamic optimization

Evolutionary Algorithms (EAs) based on structured coding have been proposed for aerodynamic optimization of wing design. Fractional factorial design is used to investigate interactions of the design variables to determine the appropriate coding structure for EAs in advance. To improve efficiency and accuracy of this approach, parameterization techniques of airfoil shapes are first tested through reproduction of a NASA supercritical airfoil. Their performance is also examined by performing aerodynamic design optimization coupled with a two-dimensional Navier-Stokes code. Finally, three-dimensional wing design is optimized based on a potential flow code and the design result is presented.