Aerodynamic inverse optimization with genetic algorithms

A multiobjective genetic algorithm based on Fonseca-Fleming's Pareto ranking method has been applied to optimize the three-dimensional target pressures for the aerodynamic inverse design of wing shape. The optimization problem was formulated to minimize the induced drag for wings as well as to minimize the viscous drag for airfoil sections. Performances of both the simple genetic algorithm and vector evaluated genetic algorithm were found unsatisfactory to the present optimization problem. The present design procedure was successfully applied to transonic wing design.