“…The existing research indicated that the GA (genetic algorithm) has good and stable performance in multi-objective optimization. 1,14,27–29 Thus, this research applies GA to search the optimum values of n = [ K r , l , C r , l , l x,y , K 1,2,3 , C 1,2,3 , K s , K n , C s ] T based on their boundary conditions to reach the minimum RMS azs . Based on the analyzed result of HPI, VPI, and NSI’s dynamic parameters, the boundary conditions of HPI, VPI, and NSI are defined via the ratios of α , α 1 , β , and λ as follows:…”