The paper proposes an optimization procedure for the design of a three-phase Interior Permanent Magnet synchronous motor. The multi-objective function maximizes the average torque, and the constraints are the efficiency and torque ripple. Various metamodels were generated for each of the multi-objective functions and constraints, and the metamodels with the best prediction performance were selected. By applying a multi-objective genetic algorithm, several optimal solutions were compared to those of the initial model. The proposed multi-objective optimization method can guide the design of IPMs for electric vehicles with high reliability and strong demagnetization characteristics.. This program allows estimating the back emf, flux density, electromagnetic torque, and ripple torque by analytical MATLAB program coupling to finite element magnetic method (FEMM) and GA optimization. Finally, rotor lamination was stamped and assembled in the motor for the back EMF test and no load-test. The design optimization is based on a new algorithm belonging to the class of Controlled Random Search algorithms. This optimization technique has been able to find a very efficient design pointing out its effectiveness besides its versatility and robustness.