The Nuclear Electric Vehicle Optimization Toolset (NEVOT) optimizes the design of all major nuclear electric propulsion (NEP) vehicle subsystems for a defined mission within constraints and optimization parameters chosen by a user. The tool uses a genetic algorithm (GA) search technique to combine subsystem designs and evaluate the fitness of the integrated design to fulfill a mission. The fitness of an individual is used within the GA to determine its probability of survival through successive generations in which the designs with low fitness are eliminated and replaced with combinations or mutations of designs with higher fitness. The program can find optimal solutions for different sets of fitness metrics without modification and can create and evaluate vehicle designs that might never be considered through traditional design techniques. It is anticipated that the flexible optimization methodology will expand present knowledge of the design trade-offs inherent in designing nuclear powered space vehicles and lead to improved NEP designs.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Nuclear Electric Vehicle Optimization Toolset (NEVOT)



    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




    Nuclear Electric Vehicle Optimization Toolset (NEVOT)

    Tinker, Michael / Steincamp, James / Stewart, Eric et al. | AIAA | 2004


    Enable the Best Shipbuilding Toolset

    Kannengießer, Rosa | TIBKAT | 2023

    Free access

    A GENERIC MISSION PLANNING TOOLSET

    Dolman, K. | Online Contents | 1993


    Land Rover MOST system development toolset

    White, D. / Harding, G. / Hancock, C. | Tema Archive | 2003


    Integral Simulation Toolset for ADAS Modeling

    Bours, R. / Schulze, T. / Nakano, T. et al. | British Library Conference Proceedings | 2012