The characteristics of aerodynamic optimization are discussed through a simplified airfoil design problem. It is demonstrated that distribution of the objective function can be extremely rough even in a simplified problem. In such a situation, Genetic Algorithm is expected to be effective, while a simple hill-climbing strategy is expected to have a difficulty. Three optimization algorithms, the gradient-based method, Simulated Annealing and Genetic Algorithm, are applied to the airfoil shape design using the approximation concept to compare their performance. Although Genetic Algorithm is time-consuming, its result is superior to those of the others. The result suggests that Genetic Algorithm is the best for the aerodynamic optimization.
|Number of pages
|IEE Conference Publication
|Published - 1996
|Proceedings of the 1996 UKACC International Conference on Control. Part 1 (of 2) - Exeter, UK
Duration: 1996 Sept 2 → 1996 Sept 5