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A Bacteria Foraging-Particle Swarm Optimization Algorithm for QoS Multicast Routing

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8297))

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Abstract

In this paper, we propose a modified Bacteria Foraging-Particles Swarm Optimization(BF-PSO) algorithm for QoS multicast routing. This meta-heuristic optimization algorithm generates a least cost multicast tree under multiple constraints. The algorithm uses random parameters of Particle swarm optimization algorithm to minimize the delay in reaching the global solution. The Simulation results show that the proposed algorithm is more effecient than the existing meta-heuristic algorithms such as Genetic Algorithm, Quantum behaved Particle Swarm Optimization.

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Pradhan, R., Kabat, M.R., Sahoo, S.P. (2013). A Bacteria Foraging-Particle Swarm Optimization Algorithm for QoS Multicast Routing. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_53

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  • DOI: https://doi.org/10.1007/978-3-319-03753-0_53

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03752-3

  • Online ISBN: 978-3-319-03753-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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