Shafting dynamic balance multi-target optimization method based on differential search algorithm

The invention discloses a shafting dynamic balance multi-target optimization method based on a differential search algorithm. The method is characterized by utilizing the accuracy, stability and rapidness features of the DS (differential search) algorithm to the multi-target optimization of rotation mechanical shafting balance. The method utilizes three targets of the residual oscillation quadratic sum, the residual oscillation maximum value and the difference of the residual oscillation maximum value and residual oscillation minimum value to weigh the machine residual oscillation state; the multi-target optimization is carried out through the DS algorithm; and the quality of the balance effect is comprehensively evaluated, and the defect that with the influence factor method in the past, only the residual oscillation quadratic sum minimum is served as a single balance target in the dynamic balance is solved.