In this paper, the sliding mode control technique using the Genetic Algorithm (GA) has been proposed for the trajectory tracking of a Car-Like Mobile Robot (CLMR). The advantage of this control approach is that it considers the effects of input disturbances when we have to determine the kinematic error model of CLMR for the trajectory tracking control problem. The proposed control law is designed to enhance the velocity of the system state in reaching the sliding mode surface and reduce the inherent chattering of the CLMR. The stability of the closed-loop system is verified through the Lyapunov criterion. The optimal controller parameters are determined by GA to select so that the tracking error is minimal. To show the effectiveness of the proposed design, simulations are performed by considering un-ideal effects such as external disturbances, the achieved results in positions, velocities are depicted in the paper.