Abstract: Based on experimental dynamic response data, reverse optimization of collision simulation material parameters using finite element method and reverse optimization method is an effective method for obtaining high-precision base material parameters. However, the traditional direct reverse method based on simulation and optimization algorithms has the problem of low efficiency. In order to improve the efficiency of reverse optimization, this paper proposes a hybrid method based on Latin hypercube design, RBF approximation model, and NSGA-II algorithm. Based on the compression test data of the energy absorbing box, the accuracy and efficiency of two reverse optimization methods were compared. The research results indicate that both reverse optimization methods meet the accuracy requirements for engineering applications. Compared to the direct method, the hybrid method requires fewer simulation model samples and is more efficient. The research can provide reference for quickly and accurately obtaining material parameters for collision simulation.