Slot allocation is a classical combinatorial optimization problem, which involves complicated constraints such as flight types, arrival and departure times and functional requirements of multiple airlines. The airport parking space allocation system based on genetic algorithm and reinforcement learning can help the airport allocate parking spaces. The system uses genetic algorithm and reinforcement learning algorithm to solve this problem. The goal of this system is to obtain the optimal solution of airport parking space allocation problem by using genetic algorithm and reinforcement learning technology. Using evolutionary computing technology, genetic algorithm is helpful to find the optimal solution of airport parking space allocation problem. Reinforcement learning is helpful to find the optimal solution of airport parking space allocation problem by using the strategy gradient method.


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    Title :

    Airport parking space allocation based on genetic algorithm and reinforcement learning


    Contributors:
    Wei, Li (author)


    Publication date :

    2022-10-01


    Size :

    246677 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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