摘要：Abstractin this paper, the problem studied is the sizing of a charging station for electric vehicles, i.e., the choice of the number and type of chargers to be installed in parking located in a smart building. In this context, based on the existing literature, the sizing problem has been formulated as a cost minimization problem considering the quality of service, i.e., minimizing the dissatisfaction rate. The optimization study simultaneously considers the overall investment cost function and the dissatisfaction rate as conflicting objective functions. Then, the proposed optimization model is analyzed and solved using genetic algorithms. These algorithms have provided qualified results that can be presented as solutions for investors in this field.
