The high temperature strain electric measurement technology has been widely used in the stress state measurement of the hot end parts of aeroengines. How to rationally match the structural parameters of the high temperature strain gauge to improve the sensitivity and service life of the strain gauge is of great importance in engineering. Firstly, a simple beam-measurement error model and a cantilever beam-fatigue life model are formulated for two objectives of affecting the measurement error and fatigue life of the high temperature strain gauge. Secondly, the influence rule of each parameter variation on strain gauge measurement error and fatigue life is analyzed by finite element analysis, and the parameters to be optimized are selected. Then, the genetic algorithm combined with response surface method is used to optimize the high temperature strain gauge. Finally, the optimization results are evaluated by experiments. Results show that the single-parameter analysis method can directly reflect the influence of each parameter on the sensitivity and life of strain gauge. Based on the optimization of response surface model and the multi-objective genetic algorithm, the optimal parameter combination of five parameters of high temperature strain gauge including grid wire diameter, grid wire length, grid wire spacing, grid wire bending number and base thickness can be obtained. The optimized measurement error is 0. 255% and the fatigue life is 2. 384 6×10 7 cycles. Experimental results show that the measurement error is reduced by 89. 2% and the fatigue life is increased by 10. 14% after multi-objective optimization.