Abstract: Firstly, by establishing a train dynamics model, the multi-population genetic algorithm and the PID tracking strategy are used to study the energy-saving strategy of urban rail transit train operation. Then, the influence of different genetic operators on multi-population genetic algorithm is analyzed. The principle and the optimal range of each genetic operator are determined. Thus a train energy-saving strategy based on multi-population genetic algorithm is presented. Finally, a simulation system based on MATLAB programming is set up and simulate by the actual guideway data to verify the effectiveness of the algorithm.