Real-world design problems need robust and effective system-level optimization tools in as much as they are ruled by several criteria, most often in multidisciplinary environments. In this work a hybrid optimization algorithm has been obtained by adding a gradient-based technique to the set of operators of a multiobjective genetic algorithm. This makes it possible to increase the computational efficiency of the genetic algorithm while preserving its favorable features of robustness, problem independence, and multiobjective optimization capabilities. Aerodynamic shape design problems, including both airfoil and wing designs, are considered.


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    Title :

    Airfoil and wing design through hybrid optimization strategies


    Additional title:

    Hybride Optimierungsstrategie für den Tragflächenentwurf


    Contributors:

    Published in:

    AIAA Journal ; 37 , 5 ; 634-641


    Publication date :

    1999


    Size :

    8 Seiten, 12 Bilder, 2 Tabellen, 16 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Airfoil and Wing Design Through Hybrid Optimization Strategies

    Alessandro Vicini / Domenico Quagliarella | AIAA | 1999


    Airfoil and wing design through hybrid optimization strategies

    Vicini, A. / Quagliarella, D. | AIAA | 1998



    Aerodynamic Optimization Design of Airfoil and Wing

    Zhu, Ziqiang / Wang, Xiaolu / Fu, Hongyan et al. | AIAA | 2004