One problem of using multi-objective particle swarm optimization algorithm(MOPSO) is how to find a recommendable solution within the non-inferior solution set for decision-makers. Therefore, the technique for order preference by similarity to ideal solution(TOPSIS) strategy is introduced into the MOPSO algorithm. In order to improve the accuracy and uniformity of solutions, two other strategies are also proposed: the mutation operator according to Pbest, and the modified method to calculate ?? neighbor distance. The results show that the solution uniformity of the algorithm which chooses Gbest using the TOPSIS method only is not satisfied, while the algorithm that uses all improvement strategies has better performance. An ideal solution can be found for decision-makers according to the TOPSIS strategy.