A multiobjective optimal design solution was studied based on geneticparticle swarm optimization algorithm (GPSOA) for single winding bearingless switched reluctance motor (SWBSRM). Universal rules of radial force and efficiency about main structure variations were given by combining finite element analysis (FEA) with sensitivity analysis. On this basis, the proposed GPSOA was applied to the optimal design of SWBSRM to obtain better optimal variations, with which the radial force was bigger and the efficiency was higher. The multiobjective optimal design based on GPSOA was verified by comparing the performance of final design with initial design by the FEA.