Abstract: There is a problem of low productivity efficiency of permanent magnet synchronous wind turbines. Exergy efficiency and output power are two decomposition factors explaining exergy efficiency. Therefore,an optimization method combining response surface methodology（RSM） and archived micro genetic algorithm（AMGA） is proposed in this paper. By improving internal structural parameters and carrying out dual-objective optimization research to improve ameliorate generator productivity and efficiency. Firstly,the equilibrium model of dynamo exergy is established to determine the optimization dual-objective. Secondly,sensitivity analysis is used to determine the combination of stator inner diameter,air gap length,permanent magnet thickness and core length as the design variables.29 groups of sample data are obtained through BBD experimental design. Regression equations of exoergic efficiency and output power are obtained according to RSM,and the reliability of the model is verified by variance analysis. Finally,taking the maximum efficiency and output power as the double objectives of optimization,the optimal structural parameters are obtained by the combination of RSM and AMGA,so as to improve the productivity efficiency of the generator and reduce the power pulsation,which can obviously enhance the power quality.