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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    Titel :

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


    Beteiligte:

    Kongress:

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


    Erscheinungsdatum :

    01.01.2004


    Medientyp :

    Preprint


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :



    Preliminary Design of a Manned Nuclear Electric Propulsion Vehicle Using Genetic Algorithms

    Irwin, Ryan W. / Tinker, Michael L. | American Institute of Physics | 2005


    Preliminary Design of a Manned Nuclear Electric Propulsion Vehicle Using Genetic Algorithms

    Irwin, R. W. / Tinker, M. L. | British Library Conference Proceedings | 2005



    Nuclear Electric Power for Manned Space Stations

    Taylor, J. Edward / Szego, George C. | AIAA | 1966