Genetic algorithms are known to be appropriate for optimization in nonsmooth domains. A variable-complexity algorithm has been developed for use in topological design problems. The system starts with simple descriptions and adds degrees of freedom to allow development of more complex designs as optimization proceeds. The algorithm is applied in two different domains: design of low-speed nonplanar wings to minimize induced drag or total drag and design of structural trusses to minimize weight. In each domain, special constraint-handling schemes are introduced to improve performance. Calculus-based optimizaton in smooth subspaces is also employed to improve efficiency. These successful applications demonstrate that the variable-complexity algorithm is an important new tool for topological design.


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    Title :

    Variable-complexity genetic algorithm for topological design


    Additional title:

    Genetische Algorithmen mit veränderlichen Designvorgaben für eine optimale Geometrie von Tragflügeln und Fachwerkträgern


    Contributors:
    Gage, P.J. (author) / Kroo, I.M. (author) / Sobieski, I.P. (author)

    Published in:

    AIAA Journal ; 33 , 11 ; 2212-2217


    Publication date :

    1995


    Size :

    6 Seiten, 14 Bilder, 20 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





    Variable-complexity genetic algorithm for topological design

    Gage, P. J. / Kroo, I. M. / Sobieski, I. P. | AIAA | 1995


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