This paper describes a parallel genetic algorithm for optimal synthesis of the internal mechanism for a morphing aerofoil. Treating the number of precision points as a design parameter leads to an optimisation problem with a variable number of design parameters and hence variable-length chromosomes in its corresponding genetic algorithm. The objective of the optimisation is to minimise the weight of the mechanism subject to a constraint on the permissible deviation of the morphed aerofoil from its target shape. Decomposition of the optimisation algorithm into two parallel algorithms is realised by dividing the original problem into two problems. In the first optimisation process, using an approximated objective function, suboptimised solutions are produced. These solutions then are passed into the second optimisation process with the original objective function. The proposed genetic algorithm has been compared with a conventional genetic algorithm with respect to its computational efficiency, showing a significant improvement in computational time.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A parallel genetic algorithm for optimal synthesis of a morphing aerofoil


    Additional title:

    Ein genetischer Parallelalgorithmus für die optimale Synthese einer flexiblen Tragfläche


    Contributors:


    Publication date :

    2009


    Size :

    13 Seiten, 8 Bilder, 1 Tabelle, 5 Quellen




    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




    Morphing aerofoil

    WOOD NORMAN | European Patent Office | 2017

    Free access

    Aerodynamic optimisation of a camber morphing aerofoil

    Fincham, J.H.S. / Friswell, M.I. | Elsevier | 2015


    Aerodynamic optimisation of a camber morphing aerofoil

    Fincham, J.H.S | Online Contents | 2015


    Optimal Morphing-Wing Design Using Parallel Nondominated Sorting Genetic Algorithm II

    Bharti, Smita / Frecker, Mary / Lesieutre, George | AIAA | 2009