Abstract

Computing the Multicast QoS routing is an NP-complete problem. Generally, it was solved by heuristic algorithms, which include tabu search, simulated annealing, genetic algorithms (GA), neural networks (NN), etc. In this paper, a hybrid neural network and genetic algorithm approach is described to compute the multicast QoS routing tree. The integration of neural network and genetic algorithm can overcome the premature and increase the convergence speed. The simulation results show that the proposed approach outperforms the traditional GA and NN algorithm in terms of both solution accuracy and convergence speed.

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