A new approach to the optimized automatic design of a stator of the squirrel cage induction motor is presented. The objective is to develop an algorithm to design in Gmsh software automatically through the differential evolution algorithm, reducing the cost and volume of the stator materials. The stator is a part of the motor and its main function is to generate a magnetic field, thus, an interesting research theme, since it is related to the production cost of the electric motor. To solve this case study is used the MODE algorithm (VIultiobjective Optimization Differential Evolution) and the outcome is compared to the NSGA II algorithm (Non-dominated Sorting Genetic Algorithm II). A discussion on the limitations and advantage of the proposed design approach concludes the paper.