Breeder genetic algorithms for airfoil design optimisation
I De Falco, R Del Balio, A Della Cioppa… - Proceedings of IEEE …, 1996 - ieeexplore.ieee.org
Proceedings of IEEE International Conference on Evolutionary …, 1996•ieeexplore.ieee.org
In this paper a version of genetic algorithms, the breeder genetic algorithms, suitable for
continuous parameter optimisation, has been applied and compared to a classical discrete
genetic algorithm. The application concerns a typical optimisation problem in aerodynamics,
the problem of determining the coordinates of an airfoil given a surface pressure distribution.
Our results have shown that the breeder genetic algorithms work better than classical
discrete-coded genetic algorithms in this field.
continuous parameter optimisation, has been applied and compared to a classical discrete
genetic algorithm. The application concerns a typical optimisation problem in aerodynamics,
the problem of determining the coordinates of an airfoil given a surface pressure distribution.
Our results have shown that the breeder genetic algorithms work better than classical
discrete-coded genetic algorithms in this field.
In this paper a version of genetic algorithms, the breeder genetic algorithms, suitable for continuous parameter optimisation, has been applied and compared to a classical discrete genetic algorithm. The application concerns a typical optimisation problem in aerodynamics, the problem of determining the coordinates of an airfoil given a surface pressure distribution. Our results have shown that the breeder genetic algorithms work better than classical discrete-coded genetic algorithms in this field.
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