Torque ripple of switched reluctance motor (SRM) was inevitable due to its special doubly salient motor structure. Although the conventional torque sharing function (TSF) control method of SRM could largely suppress the torque ripple, the torque ripple suppression was still limited by the physical conditions such as the switching frequency and the power supply voltage. A TSF control method was proposed based on genetic algorithm. The torque ripple was used as the optimization target to find the optimal switching angle using the optimization ability of the genetic algorithm. The experimental system based on genetic algorithm using TMS320F28335 was established. The experimental results on designed controller for a 8/6 prototype SRM validated the effectiveness of torque ripple minimization.