In order to increase the performance of PEMFCs, the control of a DC/DC converter was performed in this article utilizing the suggested methods of conventional PID, DACO (Dynamic Ant Colony Optimization)-based PID, DACO-based FOPID, PSO-based PID, PSO-based FOPID, BEE Colony based PID and BEE-Colony based FOPID controllers. A Simulink models was created of a PEMFC with controllers and dual inputs: oxygen air flow and hydrogen flow. The suggested methods were subsequently compared with the system generated results along with a conventional PID controller. DACO, BEE Colony and PSO are the optimization algorithms used here with the fitness function IAE, ISTE and ITAE. The factors that were used to compare the performance of the approaches were rising time (TS), maximum overshoot (MP%) and fitness function value. The suggested techniques were used to optimize the PID and FOPID parameters, and outcomes were analysed with conventional PID, where the optimal values were identified by an empirical method. According to this research the presented methods were found to be more effective in comparison with the normal PID method. The approach apparently found that the DACO-FOPID approach is superior to the others. From the simulation results, it is observed that the control performance is acceptable for a PEMFC model with traditional PID and FOPID controllers, which use DACO, BEE Colony and PSO to adjust controller parameters.