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Solving QoS Multicast Routing Problem Using ACO Algorithm I

Abstract
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AI

In IP multicasting, efficient delivery of messages from a source to multiple destinations is crucial for meeting Quality of Service (QoS) requirements, especially for multimedia applications. This study proposes an Ant Colony Optimization (ACO) algorithm as an effective solution to the QoS multicast routing problem. By mimicking the behavior of ants in nature, the ACO algorithm seeks optimal paths by simulating pheromone deposition, enabling the identification of the shortest routes for multicast data transmission.