Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 3148-3153 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 4 |
| Publication status | Published - 1998 Dec 1 |
| Event | Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - San Diego, CA, USA Duration: 1998 Oct 11 → 1998 Oct 14 |
ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering