Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
QoS routing based on genetic algorithm
Computer Communications
Quality-of-service routing for supporting multimedia applications
IEEE Journal on Selected Areas in Communications
Evaluation of multicast routing algorithms for real-time communication on high-speed networks
IEEE Journal on Selected Areas in Communications
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The multicast routing problem with quality of service (QoS) constraints is a key requirement of computer networks supporting multimedia applications. In order to resolve Qos multicast routing effectively and efficiently, an improved ant colony optimization (ACO) algorithm is proposed to resolve this problem.The core idea of improved ACO algorithm is mainly realized through pheromone local and global updating rule.Experimental results show that this algorithm can find optimal solution quickly and has a good scalability.