Turbine disk is one of the main components of aero-engine. Once a critical failure occurs, it will lead to serious consequences. On the basis of fully considering the uncertain factors affecting high-low cycle complex fatigue life of turbine disks, co-simulation platform of reliability optimization with high-low cycle compound fatigue life for turbine disk was designed by MATLAB. The uncertain factors affecting high-low cycle complex fatigue life of turbine disks are full considered in the platform. Based on the common requirements of lifetime function and lifetime reliability analysis limit state function, a strategy of sharing training sample points in adaptive construction of lifetime function Kriging model and lifetime reliability limit state surface Kriging model in the process of optimization iteration was proposed. Meanwhile, a learning function for constructing Kriging model of lifetime function was proposed. The high-low cycle complex fatigue life reliability optimization of turbine disk center and mortise were completed using the co-simulation platform. The results show that the local maximum stress of the optimal result is significantly reduced, the average life-cycle is increased, and the reliability constraints are satisfied.