抄録
This paper 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 platform shapes. The results confirm the feasibility of the present approach.
| 本文言語 | English |
|---|---|
| ページ（範囲） | 3148-3153 |
| ページ数 | 6 |
| ジャーナル | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| 巻 | 4 |
| 出版ステータス | Published - 1998 12月 1 |
| イベント | Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - San Diego, CA, USA 継続期間: 1998 10月 11 → 1998 10月 14 |
ASJC Scopus subject areas
- ハードウェアとアーキテクチャ
- 制御およびシステム工学