(In this paper, particle swarm optimization algorithm based on swarm intelligence evolution computing technology is used to solve such problems. The algorithm introduces the concepts of exchange, insertion, deletion, increment and other operators and operator sequences. On this basis, the underlying particle swarm optimization algorithm is improved to make it suitable for the solution of QoS multicast routing, and the simulation effect emerges. The algorithm has achieved satisfactory results. It is better than the genetic algorithm in the optimization speed.)