Abstract
Breeder Genetic Algorithms represent a class of random optimisation techniques gleaned from the science of population genetics, which have proved their ability to solve hard optimisation problems with continuous parameters. In this paper we test a parallel version of this technique against a sequential Breeder Genetic Algorithm on a typical inverse design problem in Aerodynamics, the problem of an aerofoil geometry recover starting from a target pressure distribution. Our results show that Parallel Breeder Genetic Algorithms are well suited for applications in Aerodynamics.
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© 1996 Springer-Verlag Berlin Heidelberg
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De Falco, I., Della Cioppa, A., Del Balio, R., Tarantino, E. (1996). Investigating a Parallel Breeder Genetic Algorithm on the inverse Aerodynamic design. In: Voigt, HM., Ebeling, W., Rechenberg, I., Schwefel, HP. (eds) Parallel Problem Solving from Nature — PPSN IV. PPSN 1996. Lecture Notes in Computer Science, vol 1141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61723-X_1061
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DOI: https://doi.org/10.1007/3-540-61723-X_1061
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