In order to achieve the optimal two-sided matching according to the supply and demand information of domestic service staff and employers, and to improve the efficiency of matching and reduce the cost of matching, the two-sided matching between domestic service staff and employers was studied. Firstly, the two-sided matching issue between domestic service staff and employers is described. Secondly, the satisfaction degree of domestic service staff and employers is calculated based on the supply and demand information provided by domestic service staff and employers, respectively. Furthermore, a multi-objective optimization model maximizing the staff and employers satisfaction degrees is constructed. A solution model is constructed to determine the corresponding optimal matching alternatives. Finally, a numerical example is given to illustrate the feasibility and effectiveness of the proposed method. © 2015, Northeastern University. All right reserved.