The present paper describes a genetic algolrithm (GA) based solution strategy for the multidisciplinary design of helicopter rotor blades. A decomposition approach is used to partition the large scale design problems into smaller, more tractable sub-problems. A model based on the parallel implementation of genetic algorithms is shown to be naturally amenable to this approach, providing increased computational efficiency, and a natural approach to account for the coupling between temporarily decoupled sub-problems. The design space for this problem is nonconvex, and the underlying analysis is inherently nonlinear and computationally demanding. The proposed procedure draws upon the use of artificial neural networks (ANN's) to identify a topology for problem decomposition, and for developing function approximations for use in optimization.


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    Title :

    Genetic algorithmus in multidisciplinary rotor blade design


    Additional title:

    Genetische Algorithmen bei der multidisziplinären Konstruktion von Rotorflügeln


    Contributors:
    Hajela, P. (author) / Lee, J. (author)


    Publication date :

    1995


    Size :

    11 Seiten, 7 Bilder, 6 Tabellen, 23 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Genetic Algorithms in Multidisciplinary Rotor Blade Design

    Hajela, P. / Lee, J. / American Institute of Aeronautics and Astronautics| ASME| ASCE | British Library Conference Proceedings | 1995