DocumentCode
3267712
Title
Aerodynamic inverse optimization with genetic algorithms
Author
Obayashi, Shigeru
Author_Institution
Dept. of Aeronaut. & Space Eng., Tohoku Univ., Sendai, Japan
fYear
1996
fDate
2-6 Dec 1996
Firstpage
421
Lastpage
425
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7803-3104-4
Type
conf
DOI
10.1109/ICIT.1996.601622
Filename
601622
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