A Multi-Objective Optimization Model for Electric Vehicle Scheduling under Charging Station Constraints

In recent years, with the rapid development of the electric vehicle industry, the optimal scheduling problem for electric vehicles for corporate attendance has become a research focus. This paper establishes a multi-objective optimization vehicle scheduling mathematical model based on the characteristics of electric vehicles, taking the cost minimization and carbon emission minimization as the optimization objectives on the basis of the constraints of charging demand, loading and service time window of electric vehicle travel. In order to solve the model, this paper utilizes a hybrid genetic algorithm to obtain the optimal attendance and charging routes for electric vehicles, and finally verifies the effectiveness of the model and algorithm by combining with the arithmetic examples.