Aiming at the problems of large computation amount,slow convergence speed and failure of dy-namic relaxation factor of multi-disciplinary collaborative optimization algorithm,a dynamic relaxation fac-tor based on the improvement of violation degree of system-level design variables is proposed,so that the system-level search range factor in the relaxation factor is no longer fixed but dynamically changes,and the original objective function of each subdiscipline is dynamically weighted to a decreasing function.By weighting them uniformly into the objective function of subdisciplines,the possibility of relaxation factor failure is reduced,and the independence between subdisciplines is deepened.Examples are given to verify the improved algorithm,and the results show that the improved algorithm converges quickly and the accura-cy of the results is obviously improved,Finally,the improved algorithm is applied to the tire forming drum.
关键词
多学科协同优化算法/收敛速度/动态松弛因子/违反程度/成型鼓
Key words
multidisciplinary collaborative optimization algorithm/rate of convergence/dynamic relaxation factor/violation degree/forming drum
维普
万方数据