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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© 2004 Springer-Verlag Berlin Heidelberg
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Pan, D., Du, M., Wang, Y., Yuan, Y. (2004). A Hybrid Neural Network and Genetic Algorithm Approach for Multicast QoS Routing. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_42
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DOI: https://doi.org/10.1007/978-3-540-28648-6_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
Online ISBN: 978-3-540-28648-6
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