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.
Truss Optimization for a Manned Nuclear Electric Space Vehicle using Genetic Algorithms
10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference ; 2004 ; Albany, NY, United States
01.01.2004
Preprint
Keine Angabe
Englisch
Preliminary Design of a Manned Nuclear Electric Propulsion Vehicle Using Genetic Algorithms
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