Abstract. Aiming at the difference of the different optimization target weights in receiving-departure line, the comprehensive optimization model of the optimization target weight was proposed. Firstly, the exponential multiplication of each optimized target value was used as the comprehensive optimization target, by adjusting the target exponent weight to affect the scheduling results. Then, the adaptive pheromone updating method and the adaptive pheromone total method were used to improve the performance of the algorithm based on the hybrid ant colony algorithm. It was verified by the Lanzhou station that the Model and Algorithm can adjust the multi-objective optimization weights in the scheduling results by adjusting the exponential parameters of each optimization target.