Title :
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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.726486
