Summary
In this paper the use of Genetic Algorithms for multi objective optimisation in aerodynamic optimisation is outlined. After a review of existing GA methodologies the operators considered at present the most promising one are described. A simple mathematical test is used for preliminary algorithmic perfomance while in more applicative cases the pressure reconstruction problem of two conflicting aerodynamic profiles is used as benchmark. A full potential transonic solver is at first used showing the performances of the optimisation algorithm employed while final results are obtained using a commercial Navier-Stokes solver with k-e turbulence modelling to reconstruct the geometry of two airfoils working at Mach=0.2 Re=5E6 and Mach=0.77 Re=19.6E6.
Even thogh the test case presented might not have a practical application, it shows that direct multi objective optimisation with Navier Stokes solver can be faced with GA.
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© 1999 Friedr. Vieweg & Sohn Verlagsgesellschaft mbH, Braunschweig/Wiesbaden
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Poloni, C. (1999). Multi Objective Aerodynamic Optimisation by Means of Robust and Efficient Genetic Algorithm. In: Fujii, K., Dulikravich, G.S. (eds) Recent Development of Aerodynamic Design Methodologies. Notes on Numerical Fluid Mechanics (NNFM), vol 65. Vieweg+Teubner Verlag. https://doi.org/10.1007/978-3-322-89952-1_1
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DOI: https://doi.org/10.1007/978-3-322-89952-1_1
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