As an important functional component of precision machine tools, improving the performance of static pressure rotary bearings is crucial for the development of high-end CNC machine tools. For the optimization problem of static pressure bearings with multidimensional nonlinear problems, based on multi-oil pad static pressure thrust bearings, with oil film stiffness, maximum tilting torque, and temperature rise as objective functions, and combined with a multi-objective particle swarm optimization parameter improvement optimization algorithm, a multi-objective optimization mathematical model was established to optimize parameter design. Without increasing the temperature, the oil film stiffness and tilting bearing capacity were improved. Finally, by manually dividing high-quality structured grids and establishing a model for flow field simulation analysis, it was found that the optimized design increased the oil film stiffness close to theoretical calculations, verifying the effectiveness of the optimization method. Provide a reference for the multi-objective optimization design of the oil chamber structure of hydrostatic bearings.