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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multiobjective wing design using genetic algorithms and fuzzy logic


    Contributors:
    Saggiani, G M (author) / Caligiana, G (author) / Persiani, F (author)


    Publication date :

    2004-02-01


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    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