Reverse engineering was used to develop a Q6 child dummy neck geometric model, and then a detailed and high-quality Q6 child dummy neck finite element (FE) model was developed. The material parameters of the neck FE model which should be optimized were determined after the sensitivity analysis of parameter variables. Based on the calibration test results of a real dummy neck, the Curve Mapping algorithm was applied to the multi-objective optimization of the material parameters of the neck FE model in the performance of head angles and moments in both frontal and lateral calibration tests, and optimized solutions were obtained after several iterations by sequential with domain reduction metamodel-based optimization method. The simulation has shown that the Q6 child dummy neck FE model meets the requirements of calibration quite well.