AbstractA new optimization algorithm called multi-frequency vibrational genetic algorithm (mVGA) is significantly improved and tested for two different test cases: an inverse design of an airfoil in subsonic flow and a direct shape optimization of an airfoil in transonic flow. The algorithm emphasizes a new mutation application strategy and diversity variety, such as, the global random diversity and the local controlled diversity. The local controlled diversity is based on either a fuzzy logic controller or an artificial neural network depending on the problem type. For both of the demonstration problems considered, remarkable reductions in the computational times have been accomplished.


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    Titel :

    Vibrational genetic algorithm enhanced with fuzzy logic and neural networks


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2009-11-04


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch