Multiobjective evolutionary computation for supersonic wing-shape optimization

Author

Obayashi, Shigeru ; Sasaki, Daisuke ; Takeguchi, Yukihiro ; Hirose, Naoki

Author_Institution

Dept. of Aeronaut. & Space Eng., Tohoku Univ., Sendai, Japan

Volume

4

Issue

2

fYear

2000

fDate

7/1/2000 12:00:00 AM

Firstpage

182

Lastpage

187

Abstract

This paper discusses the design optimization of a wing for supersonic transport (SST) using a multiple-objective genetic algorithm (MOGA). Three objective functions are used to minimize the drag for supersonic cruise, the drag for transonic cruise, and the bending moment at the wing root for supersonic cruise. The wing shape is defined by 66 design variables. A Euler flow code is used to evaluate supersonic performance, and a potential flow code is used to evaluate transonic performance. To reduce the total computational time, flow calculations are parallelized on an NEC SX-4 computer using 32 processing elements. The detailed analysis of the resulting Pareto front suggests a renewed interest in the arrow wing planform for the supersonic wing

Keywords

CAD; aerospace computing; computational complexity; drag reduction; genetic algorithms; minimisation; parallel processing; CAD; Euler flow code; GA; MOGA; NEC SX-4 computer; Pareto front; arrow wing planform; bending moment minimization; design optimization; drag minimization; multiobjective evolutionary computation; multiple-objective genetic algorithm; objective functions; parallel flow calculations; potential flow code; supersonic cruise; supersonic wing-shape optimization; total computational time reduction; transonic cruise; wing root; Aerodynamics; Aerospace engineering; Air traffic control; Aircraft; Concurrent computing; Design optimization; Evolutionary computation; Genetic algorithms; National electric code; Shape;

fLanguage

English

Journal_Title

Evolutionary Computation, IEEE Transactions on

Publisher

ieee

ISSN

1089-778X

Type

jour

DOI

10.1109/4235.850658

Filename

850658