Abstract: Taking full account of the high speed railway network as the complexity of the multilevel hierarchical control system and requirements for the quality of passenger transport service, this article set up the high-speed train service-demand intention set at railway network according to the specific scenario of the period ( train service-demand intention set at network, abbreviated as t@n-tsdis ), and then took the occupation time of the infrastructures needed to fulfill the set as the criteria to measure the network capacity, proposed the two stage optimization calculation method. On solving the model, the article proposed improved (1+1)-PAES Algorithm flow for multi-objective optimization, and took the interactive-rolling strategy to tackle the integer constraints, the fuzzy-logic penalty function to tackle the real constraints, and the Pareto archived evolution strategy to solving multi-objective optimization problems. The model and the Algorithm were applied to a high speed railway network for case study, the validity of the model and the Algorithm was verified.