Abstract: Reverse logistics network design is a strategic decision for company. This paper addresses the analysis of reverse logistic networks for post-sale service. A multi-objective integer programming which optimizes the cost and service level simultaneous is developed to determine the numbers and locations and capacity levels of service centers and the assignment of customer areas to service centers. A hybrid multi-objective evolutionary algorithm is proposed to solve the model. Through analysis of the example, some conclusions about the network design are obtained. Finally, we compared the hybrid multi-objective evolutionary algorithm with the -constraints. The results show our algorithm is very efficient for median-larger scale problem.