A multiobjective genetic algorithm based on Pareto ranking is applied to the multidisciplinary optimization of a transonic wing planform. The method is implemented at the numerical wind tunnel using the master-slave concept. Planform shapes with minimum drag, minimum weight, and maximum fuel weight, under constraints of lift and structural strength are determined by using the analysis model FLO22 that consisted of potential flow, algebraic weight, and wing-box structure equations. A wide variety of Pareto solutions are obtained, including a good compromised solution.
ASJC Scopus subject areas
- Aerospace Engineering