Some of the advantages and drawbacks of genetic algorithms applications to aerodynamic design are demonstrated. A numerical procedure for the aerodynamic design of transonic airfoil by means of genetic algorithms, with single-point, multipoint, and multiobjective optimization capabilities, is presented. In the first part, an investigation on the relative efficiency of different genetic operators combinations is carried out on an aerodynamic inverse design problem. It is shown how an appropriate tuning of the algorithm can provide improved performances, better adaption to design space size and topology, and variables cross correlation. In the second part, the multiobjective approach to design is introduced. The problem of the optimization of the drag rise characteristics of a transonic airfoil is addressed and dealt with using a single point, a multipoint, and a multiobjective approach. A comparison between the results obtained using the three different strategies is finally established, showing the advantages of multiobjective optimization.


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    Title :

    Inverse and direct airfoil design using a multiobjective genetic algorithm


    Additional title:

    Tragflügelentwurf mit einem genetischen Algorithmus unter Vorgabe eines Systems mehrerer Zielfunktionen


    Contributors:

    Published in:

    AIAA Journal ; 35 , 9 ; 1499-1505


    Publication date :

    1997


    Size :

    7 Seiten, 14 Bilder, 1 Tabelle, 27 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Inverse and Direct Airfoil Design Using a Multiobjective Genetic Algorithm

    Alessandro Vicini / Domenico Quagliarella | AIAA | 1997




    Multipoint Transonic Airfoil Design by Means of a Multiobjective Genetic Algorithm

    Vicini, A. / Quagliarella, D. / AIAA | British Library Conference Proceedings | 1997


    Airfoil Design Using a Genetic Algorithm and an Inverse Method

    Gardner, Ben / Selig, Michael | AIAA | 2003