Method for adding mass to scaling model based on intelligent algorithm

The invention discloses a method for adding mass to a scaling model based on an intelligent algorithm, which comprises the following steps: S1, initializing a mass point, and recovering an initial file; s2, randomly generating the position, displacement or offset of a mass point for changing the mass; s3, performing modal analysis to obtain inherent frequency and a key vibration mode; s4, judging whether the current optimal value is the current optimal value or not according to the fitness function, and when the current optimal value is judged to be optimal, storing the current optimal value as the optimal value or replacing an old optimal value; if the optimal value is not the optimal value, the next step is carried out; s5, judging whether the number of iterations is reached or not, and if the number of iterations is not reached, reproducing parameters and returning to the step S3; and otherwise, outputting the optimal parameter. According to the method, the modal similarity of the scale model is improved,