First of all, in order to improve the local search ability of genetic algorithm, a new hybrid genetic algorithm combining genetic algorithm and simplex method is presented; in which both the global convergence of genetic algorithm and local search ability of simplex method are in full use; when the evolution of genetic algorithm is bogged down, the simplex method is involved to lead the direction. Then aiming at optimizing the parameters of HVDC constant current controller, a systematic scheme using the hybrid genetic algorithm is designed. After an expatiation upon the basic flow and main steps of the hybrid genetic algorithm, the implementation of parameters optimization is detailed. The ITAE is selected as objective function in the scheme. By building the HVDC Quasi-Steady-State (QSS) models, a reasonable calculation models are achieved. The DC voltage stability in the process of PSCAD/EMTDC simulation is judged to search the PI parameters boundary. At last the effectiveness of the proposed scheme is demonstrated by PSCAD/EMTDC simulation results on the CIGRE HVDC Benchmark model.