High-lift Multi-Element Airfoil Shape and Setting Optimization Using Multiobjective Evolutionary Algorithms

A multi-objective and multipoint optimization problem is presented dealing with a multi-element airfoil used in high-lift devices (including slat, main, and flap components). The purpose is to enhance its aerodynamic performance at both takeoff and landing operations by searching for optimal shape and setting parameters for both slap and flap. The procedure is driven by a multi-objective genetic algorithm coupled with an Euler/boundary-layer flow solver that speeds up the objective function evaluations, while a Navier–Stokes computational fluid dynamics solver is used for final solutions verification. The final Pareto Optimal solutions are presented and the reasons for improved performance are discussed.