Aerodynamic design optimization of cascade airfoils based on multiobjective genetic algorithm

A multiobjective genetic algorithm (GA) has been developed by introducing Pareto ranking and fitness-sharing techniques. Performance of the cascade airfoils was evaluated based on the two dimensional Navier-Stokes equations. To demonstrate the feasibility of the algorithm, a multiobjective design optimization of cascade airfoils was performed for minimizing the total pressure loss coefficient and maximizing the high pressure ratio at the same time. The optimization results show that the present method is effective and efficient in multiobjective aerodynamic design optimization.