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
2004-01-01
Preprint
No indication
English
Preliminary Design of a Manned Nuclear Electric Propulsion Vehicle Using Genetic Algorithms
British Library Conference Proceedings | 2005
|Preliminary Design of a Manned Nuclear Electric Propulsion Vehicle Using Genetic Algorithms
American Institute of Physics | 2005
|Nuclear Electric Power for Manned Space Stations
AIAA | 1966
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