Inverse optimization of transonic wing design using multiobjective genetic algorithms
Shinichi Takahashi, Shigeru Obayashi, Kazuhiro Nakahashi · Inverse problems in engineering · 1998
A Multiobjective Genetic Algorithm (MOGA) has been applied to optimize the three-dimensional target pressure distribution for the aerodynamic inverse design of transonic wing shape. The pressure distribution will be optimized to minimize the viscous drag and the induced drag under constraints on lift and other design principles. Pareto optimal solutions are. computed by MOGA based on Pareto ranking and fitness sharing. Corresponding geometry is obtained by Takanashi's inverse method. The present design procedure was successfully applied to transonic wing shape design.