Multidisciplinary design optimization of aircraft wing planform based on evolutionary algorithms

Author

Obayashi, Shigeru

Author_Institution

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

Volume

4

fYear

1998

fDate

11-14 Oct 1998

Firstpage

3148

Abstract

Examines the evolutionary approach for aircraft design optimization. Several niching and elitist models are first applied to multiple-objective genetic algorithms (MOGAs). Numerical results suggest that the combination of the fitness sharing and the best-N selection leads to the best performance. The resulting MOGA is then applied to multidisciplinary design optimization problems of transonic and supersonic wing planform shapes. The results confirm the feasibility of the present approach

Keywords

CAD; aerospace computing; aircraft; genetic algorithms; aircraft design optimization; aircraft wing planform; best-N selection; elitist models; evolutionary algorithms; fitness sharing; multidisciplinary design optimization; multiple-objective genetic algorithms; niching models; supersonic wing planform shapes; transonic wing planform shapes; Aerodynamics; Aircraft propulsion; Computational fluid dynamics; Design optimization; Evolutionary computation; Genetic algorithms; Genetic mutations; Robustness; Shape; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1062-922X

Print_ISBN

0-7803-4778-1

Type

conf

DOI

10.1109/ICSMC.1998.726486

Filename

726486