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QPSO-Based QoS Multicast Routing Algorithm

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Simulated Evolution and Learning (SEAL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4247))

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Abstract

QoS multicast routing in networks is a very important research issues in the areas of networks and distributed systems. Because of its NP-completeness, many heuristics such as Genetic Algorithms (GAs) are employ solve the QoS routing problem. Base on the previously proposed Quantum-behaved Particle Swarm Optimization (QPSO), this paper proposes a QPSO-based QoS multicast routing algorithm. The proposed method converts the QoS multicast routing problem into an integer programming problem and then solve the problem by QPSO. We test QPSO-base routing algorithm on a network model. For performance comparison, we also test Particle Swarm Optimization (PSO) algorithm and GA. The experiment results show the availability and efficiency of QPSO on the problem and its superiority to PSO and GA.

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© 2006 Springer-Verlag Berlin Heidelberg

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Sun, J., Liu, J., Xu, W. (2006). QPSO-Based QoS Multicast Routing Algorithm. In: Wang, TD., et al. Simulated Evolution and Learning. SEAL 2006. Lecture Notes in Computer Science, vol 4247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11903697_34

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  • DOI: https://doi.org/10.1007/11903697_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47331-2

  • Online ISBN: 978-3-540-47332-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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