Airfoil and wing design through hybrid optimization strategies

摘要

A hybrid optimization algorithm is obtained by adding a gradient-based technique among the set of operators of a multiobjective genetic algorithm. ^In this way it is possible to increase the computational efficiency of the genetic algorithm while preserving its favorable features of robustness, problem independence, and multiobjective optimization capabilities. ^The results can be applied to aerodynamic shape design problems, including both airfoil and wing design. ^(Author)