This thesis aims to design a high-performance anti-lock braking control system for electric bikes to enhance rider safety and improve the maneuverability of bikes under various road conditions, addressing a significant gap in low-cost active safety solutions for this rapidly growing mode of transportation. A conjugate boundary method is used as the control strategy, which offers the distinct advantage of relying only on wheel acceleration data, thereby eliminating the need for expensive vehicle speed or inertial measurement sensors. A simulation model of the E-bike, integrating both longitudinal and vertical dynamics, was developed in MATLAB/Simulink to represent braking behavior. To overcome the challenge of tuning the CBM's parameters, a Genetic Algorithm (GA) was employed to automatically optimize the controller.