This paper proposes a novel surrogate assisted multiobjective evolutionary algorithm based on decomposition (sMOEA/D) for the design of electric motors. The idea is to improve the surrogate gradually during the optimization. Simulation results show that the proposed method can outperform a regular multi-objective optimization algorithm with only a small portion of the computational cost.