In order to improve the dynamic and static performance of the horizontal machining center bed and reduce the bed mass, a comprehensive optimization of the ribbed structure of the bed is carried out. Firstly, the dynamic and static characteristics of the machine bed are analyzed to find out the weak points of the bed, secondly, the topology of the machining center bed is optimized based on the variable density method using Topology Optimization function, and the new bed shape is obtained by re-modeling the bed based on the topology results. A leaf vein-like structure and an arched structure are redesigned for the bottom and the inner plate rib of the bed, respectively. Finally, the main dimensions of the plate reinforcement structure are selected, and the dimensional optimization is performed by combining BP neural network and NSGA-II. The optimization results are compared with the orthogonal test optimization method to verify the superiority of BP-GA algorithm. After the simulation analysis, the bed was optimized to reduce the mass by 10.4% while the total deformation was reduced by 74.9% and the first-order natural frequency was increased by 24.9%.