Abstract: To improve the comprehensive performance and adaptability of hydrostatic rotary tables in diverse machining conditions, this study proposes an operating parameters matching optimization method based on response surface methodology and the NSGA-II. A fluid-structure-thermal coupled simulation model of the hydrostatic rotary table was established. With the objectives of maximizing the table's load capacity and minimizing the worktable surface deformation, a four-factor, three-level Box-Behnken experimental design was employed. Response surface proxy models for both the load capacity and deformation were constructed. The accuracy and reliability of these proxy models were verified using analysis of variance (ANOVA) and residual diagnosis methods. Parameter sensitivity analysis and response surface analysis revealed that the load capacity is primarily governed by the linear and interactive effects of oil supply pressure and oil film thickness, exhibiting significant non-linear characteristics. The worktable surface deformation was found to be not only dominated by the table's rotational speed and oil film thickness but also significantly influenced by the interactive effects of multiple parameters. The NSGA-II algorithm was applied to perform multi-objective optimization on the proxy models. The technique for order of preference by similarity to ideal solution (TOPSIS) method was then used to make decisions from the obtained Pareto optimal solution set. This process yielded 10 optimal parameter combinations that balance high load capacity with low deformation. This study provides a new method for optimizing the performance of hydrostatic rotary tables, and it has certain reference and guiding significance for engineering applications.