Multidisciplinary design, analysis, and optimization using a genetic algorithm is being developed at the National Aeronautics and Space Administration Dryden Flight Research Center (Edwards, California) to automate analysis and design process by leveraging existing tools to enable true multidisciplinary optimization in the preliminary design stage of subsonic, transonic, supersonic, and hypersonic aircraft. This is a promising technology, but faces many challenges in large-scale, real-world application. This report describes current approaches, recent results, and challenges for multidisciplinary design, analysis, and optimization as demonstrated by experience with the Ikhana fire pod design.


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    Title :

    Multidisciplinary Design, Analysis, and Optimization Tool Development Using a Genetic Algorithm


    Contributors:
    C. Pak (author) / W. Li (author)

    Publication date :

    2009


    Size :

    23 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English






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