Aiming at the QoS multicast routing problem with multiple unrelated additive metrics, a QoS multicast routing algorithm based on chaotic control quantity is proposed. By applying a chaotic control quantity to the internal state of neurons, the algorithm can effectively control the energy function of the neural network to increase, decrease or remain unchanged, and avoid falling into the local minimum point. Computer simulation results show that the algorithm can quickly and effectively construct a multicast tree according to the cost and delay requirements of multicast applications. Compared with other heuristic algorithms, it is suitable for large-scale networks with fewer destination nodes. Keywords: chaotic neural network; computer network; multicast routing
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