In this paper multi-objective optimization techniques are applied to the design of magnetic gears in order to maximize the performances and to obtain a competitive device. A parallelized stochastic algorithm is implemented and an analytical tool based on magnetic fields computation and losses estimation is used to compute the multi-objective function. This FEM-free computational model can be used in the initial stages of product development.