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An aerodynamic data modeling method based on moving least square method is proposed to solve the nonlinear aerodynamic problem of highly coupled integrated aircraft. Firstly, the factors affecting the accuracy of the model are analyzed. Then, the genetic algorithm is used to obtain the optimal radius of support domain and the optimal influence factor to improve the approximate accuracy and reduce the sample points. The aerodynamic model with strong generalization ability is obtained and compared with the partial least squares method. The experimental results show that the modeling effect of the moving least squares method is better than that of the partial least squares method, and the prediction error is smaller, which proves that it is feasible to apply this method to aerodynamic data modeling.