An Improved QoS Multicast Routing Algorithm Based on Chaotic Neural Network

Abstract

In the process of using Chaotic Neural Network to resolve QoS (Quality of Service) multicast routing, this paper adds new constraint items on the basis of the original energy function and presents a new energy function, which solves the problem that the traditional algorithm is easy to fall into local minima and invalid solutions for not strictly restricting "row" and "column" items in the energy function. Simulation results show that, compared with the original energy function, the newly constructed energy function can avoid the chaotic neural network converging to the invalid solution and local optimal solution in a certain extent, and can improve the convergent speed of the network.