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    Improved Particle Swarm Optimization Algorithm to Solve the Problem of Layout Optimization of Electric Vehicle Charging Stations

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    JHTRCQ.0000631.pdf (515.3Kb)
    Date
    2018
    Author
    Qi Lin;Yao Jian;Wang Xin-yue
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    Abstract
    In charging station services, user charging requirements limit the layout optimization of charging stations to realize total cost minimization. By combining the k-center algorithm and cloud model particle swarm algorithm, this study puts forward a method to improve the global search ability of the adaptive parameter adjustment strategy. A simulation is performed accordingly. Results show that when solving the layout optimization problem for charging stations, the improved adaptive hybrid algorithm that combines the k-center and cloud model particle swarm algorithm outperforms the original cloud model particle swarm algorithm and the basic particle swarm optimization algorithm. The improved algorithm is thus effective.
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4248296
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    • Journal of Highway and Transportation Research and Development (English Edition)

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