The purpose of this paper is to utilize the genetic algorithm (GA) optimization method for structural design of a nuclear propulsion vehicle. Genetic algorithms provide a guided, random search technique that mirrors biological adaptation. To verify the GA capabilities, other traditional optimization methods were used to generate results for comparison to the GA results, first for simple two-dimensional structures, and then for full-scale three-dimensional truss designs.


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    Title :

    Truss Optimization for a Manned Nuclear Electric Space Vehicle using Genetic Algorithms


    Contributors:

    Conference:

    10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference ; 2004 ; Albany, NY, United States


    Publication date :

    2004-01-01


    Type of media :

    Preprint


    Type of material :

    No indication


    Language :

    English





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