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An Ant Algorithm for Solving QoS Multicast Routing Problem
Ahmed Younes Hamed
Pages - 156 - 167     |    Revised - 31-03-2011     |    Published - 04-04-2011
Volume - 5   Issue - 1    |    Publication Date - March / April 2011  Table of Contents
Multimedia Communication, Multicast Routing, Multicast Tree, Ant Colony Algorithms, Bandwidth, Delay and Cost.
Abstract: Many applications require send information from a source to multiple destinations through a communication network. To support these applications, it is necessary to determine a multicast tree of minimal cost to connect the source node to the destination nodes subject to delay constraints. Based on the Ant System algorithm, we present an ant algorithm to find the multicast tree that minimizes the total cost. In the proposed algorithm, the k shortest paths from the source node to the destination nodes are used for genotype representation. The expermintal results show that the algorithm can find optimal solution quickly and has a good scalability.
CITED BY (3)  
1 Peng, B., & Li, L. (2014). Combination of Genetic Algorithm and Ant Colony Optimization for QoS Multicast Routing. In Soft Computing in Artificial Intelligence (pp. 49-56). Springer International Publishing.
2 Peng, B., & Li, L. (2013). QoS Multicast Routing Algorithm Based on Genetic Algorithm and Ant Colony Optimization. International Information Institute (Tokyo). Information, 16(10), 7717.
3 Chen, H., & Zhou, P. (2013, July). An ant algorithm for solving the four-coloring map problem. In Natural Computation (ICNC), 2013 Ninth International Conference on (pp. 491-495). IEEE.
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Associate Professor Ahmed Younes Hamed
Dammam university, Soudia Arabia - Saudi Arabia