Abstract: A parameterized mesh generation is presented for optimal design of electric motors.The advantages of the method are distinct in that the method is remeshing-free,thus it can significantly reduce the numerical simulation time during the finite element analysis process.The refinement procedure is accomplished in an adaptive manner and swapping diagonal technique to concentrate the mesh vertices to regions with large solution variations.A high quality mesh can be obtained and kept by using this method with triangular finite elements.Based on the sample points obtained from FEM with parameterized mesh,the optimal model is reconstructed using the response surface methodology（RSM）.The particle swarm optimization（PSO） method is then used to arrive at the optimal solution swiftly and efficiently.Two examples of optimal design of electric motors are reported to verify the efficiency and effectiveness of the proposed method.