Abstract: The scientific arrangement of tracks has important significance to guarantee the work efficiency in metro depot. In this article, genetic multi-objective algorithm was applied to optimize the track arrangement for the metros to be returned. The article analyzed the track layout and the entrance/exit access, described the mathematical model of the problem, taken task completion degree, the total number of shunting times and extra time-consuming as the optimization targets, taken time interval and maintenance capability as the constraints, to set a track arrangement model based on genetic multi-objective optimization. Finally, the performance of the algorithm under the limited condition was tested and the effectiveness of model was validated.