In this paper a version of Genetic Algorithms, the Breeder Genetic Algorithms, suitable for the continuous parameter optimisation, has been applied and compared against a classical discrete Genetic Algorithm on 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.

Breeder genetic algorithms for airfoil design optimisation

De Falco I;Tarantino E
1996

Abstract

In this paper a version of Genetic Algorithms, the Breeder Genetic Algorithms, suitable for the continuous parameter optimisation, has been applied and compared against a classical discrete Genetic Algorithm on 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.
1996
0-7803-2902-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/215083
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