A genetic algorithm optimization method for a morphing wing tip demonstrator validated using infra red experimental data

In the present paper an \u2018in-house\u2019 genetic algorithm is described and applied to an optimization problem of improving the aerodynamic performances of an airfoil through upper surface morphing. The results of the optimization of the flow behavior for the airfoil morphing upper-surface problem are validated with experimental transition results obtained with Infra-red Thermography for the CRIAQ MDO 505 wing tip demonstrator, proving that the 2D numerical optimization using the \u2018in-house\u2019 genetic algorithm is an important tool in improving various aspects of a wing\u2019s performancesPeer reviewed: YesNRC publication: Ye