Abstract: Standard collaborative optimization, collaborative optimization based on variable relaxed tolerance and collaborative optimization based on two-phase optimization were analyzed and their optimizing properties compared, all from a geometry point of view. In view of that the optimization results of collaborative optimization were vulnerable to the initial points. A new SCO method based on prior constraint is proposed by adding the total consistency constraint. Aiming at the collaborative optimization problem whose design variables have larger magnitudes of discrepancy, the weighted consistency constraint is presented to improve interdisciplinary consistency. Finally, the beam problem is used to verify the efficiency of the proposed method.