Abstract: In order to improve the effectiveness and efficiency of the multi-objective particle swarm optimization (pso) algorithm, by using niche technology to solve the fitness, this paper puts forward a new kind of multi-objective particle swarm optimization (PSO) algorithm with a niche technology and elite set strategy. the fitness was solved with niche technology and the roulette method was utilized to select global best position with the fitness of each particle of elite set.The adjustment in the process of algorithm running was made in this paper and the small probability variation method was also used. Finally, the test function was adopted to verify the effectiveness of the algorithm. The results show that the algorithm running time is 2.113 s, multi-objective optimization ratio on particle swarm algorithm(4.147s) was reduced by neraly half, and that the operation efficiency of the algorithm is greatly improved. The simulation results also show that the algorithm has better convergence and the solution has better uniformity.