Due to the nonlinearity, time-delay of magneto-rheological (MR) suspension system, application of linear feedback control strategy is limited. Therefore, a human-simulation intelligent control (HSIC) for MR suspension is proposed and studied. To determine the time-delay magnitude of MR damper, an experimental apparatus is founded and the response time is tested for various operating conditions. The results show that the response time of MR damper is about 30 ms that cannot be ignored in real time control. A hybrid Taguchi genetic algorithm (HTGA) is adopted to tune the parameters of the HSIC controller. To verify the feasibility of our approach, road test are carried out. The results show that after some threshold parameters are optimized by HTGA, HSIC can achieve better ride comfort and stability compared to passive suspension.