Predictive torque control (PTC) is known as a straightforward approach for induction motor drives for which the control parameters can be directly included in the criterion measure. Nevertheless, choosing the weight factors of the criterion measure is an important challenge. In conventional PTC methods, the criterion measure includes the torque and stator flux control objectives which have different weight factors for each control objective. Tuning weight factors empirically results in a complicated control process. To successfully cope with this issue, this paper suggests the VIKOR method for optimization of the criterion measure. In this research, a new PTC scheme has been proposed using the VIKOR optimization algorithm for the selection of inverter switching vectors connected to an open-end winding induction motor (OEWIM). The purpose of controlling the switching vectors is to reduce the flux and torque ripples. The results are then compared with the conventional PTC and ranking methods. It is demonstrated that, with optimization by the VIKOR method, the flux and torque ripples have been remarkably reduced in comparison with the existing approaches. The proposed VIKOR-based PTC reduces the flux ripple by 78.5% (from 1.4 Wb to 0.3 Wb) and reduces the torque ripple by 58.3% (from 0.012 N·m to 0.005 N·m) compared to the conventional PTC method. Finally, a step-by-step implementation algorithm is presented and simulated using MATLAB which demonstrates favorable results.