The designer frequently faces problems in which the project depends on many parameters and the final solution must be evaluated according to several optimization objectives. This may be the case for the aeroelastic and aeromechanical design of lifting surfaces. The aim of the present paper is to show how the combined techniques of genetic algorithms (GAs) and fuzzy logic can be useful in these situations. The leading idea is the development of a tool to assist the designer in the preliminary phase of activity by assigning a genetic code to every possible solution and assessing its performance by means of a fuzzy controller in order to handle simultaneously different design criteria. Examples are given for some typical problems in aeronautical design.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multiobjective wing design using genetic algorithms and fuzzy logic


    Beteiligte:
    Saggiani, G M (Autor:in) / Caligiana, G (Autor:in) / Persiani, F (Autor:in)


    Erscheinungsdatum :

    01.02.2004


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    A Multiobjective Approach to Transonic Wing Design by Means of Genetic Algorithms

    Vicini, A. / Quagliarella, D. / North Atlantic Treaty Organization | British Library Conference Proceedings | 2000


    Combinatorial Multiobjective Optimization Using Genetic Algorithms

    Crossley, William A. / Martin. Eric T. | NTRS | 2002



    Multiobjective Genetic Algorithm for Multidisciplinary Design of Transonic Wing Planform

    Shigeru Obayashi / Yoshihiro Yamaguchi / Takashi Nakamura | AIAA | 1997