Title :
Aerodynamic inverse optimization with genetic algorithms
Author :
Obayashi, Shigeru
Author_Institution :
Dept. of Aeronaut. & Space Eng., Tohoku Univ., Sendai, Japan
Abstract :
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
Keywords :
aerodynamics; aircraft; drag; genetic algorithms; inverse problems; transonic flow; Fonseca-Fleming Pareto ranking; aerodynamic inverse design; aircraft; airfoil; genetic algorithm; induced drag; multiobjective optimisation; transonic wing; viscous drag; wing shape; Aerodynamics; Aircraft; Automotive components; Computational fluid dynamics; Drag; Genetic algorithms; Geometry; Inverse problems; Optimization methods; Shape;
Conference_Titel :
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-3104-4
DOI :
10.1109/ICIT.1996.601622
