Abstract: Multiobjective optimization model of aero-engine torque and fuel economy was established in Boost and Matlab environment. The progress of the calibration was elaborated, including building Boost model, design of experiment(DOE)tests, mathematical statistical modeling ,the response surface of variables was explored to the relationship between the objectives and variables, the statistical modeling can control errors. The model-based calibration(MBC) toolbox was applied to optimize the model, the method of normal boundary intersection is economical and applicable to deal with multiobjective optimization of calibration. The map of ignition timing and the amount of injection fuel in each cycle were given, the relationship between the target variables and independent variables was given with response surface map, which are useful to improve the performance of aero-engine.