Abstract: In this paper, the beam vacuum pump station of the horizontal test platform of superconducting acceleration cryomodule is taken as the research object, structural simulation analysis and multi-objective optimization design are conducted to meet its requirements for safety and lightweight. Firstly, based on statics simulation and sub-model technology, the strength and stiffness of the vacuum pump station are analyzed and an optimization scheme is proposed. Subsequently, the test sample space is obtained through the central composite design (CCD) method and parametric simulation, and the response surface analysis is conducted through the Kriging surrogate model. Finally, the multi-objective genetic algorithm (MOGA) is adopted to obtain the Pareto optimal solution, and the preferred scheme is simulated and verified. The results show that the maximum equivalent stress of the optimized vacuum pump station is 76.116 MPa, the maximum deformation is 0.47151 mm, and the mass of the pump station only increased by 0.25% compared with that before optimization. The optimization results meet the design requirements of multi-objective optimization, which proves the feasibility of the said multi-objective optimization method. This research can provide references for the design and optimization of vacuum chambers in the field of accelerators.