The design of a Fractional-Order fuzzy-based PID (FO-F-PID) control structure is presented for Buck converter in the presence of harmful disturbances. A fractional-order proportional-integral-derivative (FO-PID) control scheme is utilized initially to damp the oscillations and remove the steady-state error. To increase the tendency rate of the error to zero, the FO-PID method is applied to a fuzzy-logic-based compensatory stage. At the same time, the fuzzy part gathers the data based on the error and error derivative. The FO-PID control scheme has the capability to enhance the robustness of the control technique against disturbances and parametric variations. Furthermore, to optimize the control parameters, an efficient algorithm so-called Antlion Optimization (ALO) algorithm, is used. Utilizing the ALO algorithm for tuning the FO-PID gains depicts more accurate responses in solving constrained problems with diverse search spaces. Considering numerous disturbances on DC-DC converters, an FO-F-PID controller can be an appropriate alternative since it is more robust against load variations and noise. Moreover, PSO-PID and FO-PSO-PID controllers are designed to drive a comparison between them. Finally, the merits of the presented controller are validated for various scenarios. It can be seen that the FO-F-ALO-PID method provides much better results with faster dynamics. Matlab-Simulink environment is used for the simulations, and the experimental results are tested by the micro-processor to validate the superiority of the proposed method.