With the increasing number of electric vehicles (EVs), the related supporting facilities are also facing great challenges. Unreasonable charging resource allocation will cause overcrowding at some charging stations during the peak charging period and affect the stable operation of power grids. A scheduling model considering multi-objective optimization is proposed. Upon the analysis of the queuing time of different charging options at the charging stations, a dynamic pricing model considering the queuing rate and time-of-use tariff is presented to affect the charging behavior of EV owners. The charging cost is calculated with the dynamic pricing model and the charging demand. Considering the travel time of the total charging path based on the starting and ending points, the optimization objective is to minimize the total cost, which is solved by the DEB-ABC algorithm. The simulations of 1 500 EVs in a certain area indicate that the proposed optimal scheduling model can reduce the waiting time for charging, charging costs, and total driving time and improve the utilization of charging stations in the area.