According to the status quo of Chinas trains to Central Europe， in order to solve vicious competition of different lines， dispersive goods sources and so on， based on the perspective of location selectiontransportation line arrangement， by taking international transportation network node of ChinaEurope as study object， this paper sets up minimum total cost model. Based on discrete particle swarm optimization principle， Matlab development program is used to optimize and solve it. Simulation results show that the global optimal solution derived from this model and algorithm has good convergence and effectiveness， at the same time， it can effectively reduce the total cost of logistic operation of SinoEurope transportation network.