A fast design method for the drive circuit was proposed by combining Genetic Algorithm(GA) with a low frequency model to improve the transient performance of analog drive circuit for a low-power Silicon Resonant Accelerometer(SRA) and to shorten its design cycle. The method decoupled the closed drive circuit model in high and low frequencies to extract a low-frequency model from drive close-loop circuits. Combined the low-frequency model with the GA, an optimization method was proposed to optimize the circuit parameters for meeting the different actual restraints. A simulation model was established in SIMULINK based on one type of micro silicon resonant accelerometer, and the optimal parameters of PI controller with a most start-up speed were obtained under constraint conditions. Finally, a start-up experiment was performed to testify the simulation results. It shows that the start-up time is shorten from previous 0.42 s to 0.19 s and the over-shoot and phase error are less than 50% and 5°, respectively. The difference between the simulation and experiment is less than 5%, which falls within the acceptable range. It proves that the optimization method is correct and effective.