This paper presents an optimal control approach for active suspension systems (ASS) to mitigate adverse vibrations induced by the in-wheel motor electric vehicle (IWM-EV), thereby enhancing ride comfort. Firstly, a half-car model incorporating an ASS is developed under class B random road excitation at a constant velocity of 20 m/s. A Proportional–Integral–Derivative (PID) controller is then employed to generate the control force for the ASS. Finally, instead of relying on trial-and-error methods or the Ziegler–Nichols technique, the Genetic Algorithm (GA) is utilised to tune the PID controller parameters optimally. The performance of the proposed controller is evaluated based on the root mean square (RMS) values of the human–seat acceleration (azhs), vehicle body acceleration (azb), and vehicle pitch acceleration (aφb). The results demonstrate that the proposed controller effectively reduces unwanted vibrations and significantly improves ride comfort for the IWM-EV.