A novel multi-objective Monte Carlo Tree Search (MO-MCTS) algorithm is developed and implemented for use in architecture design problems. This algorithm is used with two well-known problems with known solutions in order to verify its performance. It is then used in a highly nonlinear Cislunar architecture design problem with no known analytical solutions. The results of this implementation display the ability of MO-MCTS to effectively navigate the state space of mixed integer nonlinear programming problems and emphasize the versatility of MO-MCTS for designing critical Cislunar architecture.


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    Title :

    Optimal Cislunar Architecture Design Using Monte Carlo Tree Search Methods


    Additional title:

    J Astronaut Sci


    Contributors:


    Publication date :

    2023-06-08




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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