Multi Objective Aerodynamic Optimisation by Means of Robust and Efficient Genetic Algorithm

  • Carlo Poloni
Part of the Notes on Numerical Fluid Mechanics (NNFM) book series (NONUFM, volume 65)


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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Copyright information

© Friedr. Vieweg & Sohn Verlagsgesellschaft mbH, Braunschweig/Wiesbaden 1999

Authors and Affiliations

  • Carlo Poloni
    • 1
  1. 1.Dipartimento di EnergeticaUniversità degli Studi di TriesteTriesteItaly

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