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A Novel Hybrid QoS Multicast Routing based on Clonal Selection and Artificial Fish Swarm Algorithm

机译:一种基于克隆选择和人工鱼类群算法的新型混合QoS组播路由

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The paper presents a QoS multicast routing algorithm bassed on Clonal Selection and Artificial Fish Swarm algorithms (CSA-AFSA). The hybrid algorithms reasonably use the superiorities of both algorithms and try to overcome their inherent drawbacks. An improved initialization method is used to make sure each individual in initial population is a reasonable multicast tree without loops. The simulation carried out with different network scale. For performance comparison, Ant Colony Optimization (ACO) algorithm and Genetic Algorithm (GA) also been tested. The results have demonstrated the hybrid algorithm has high speed of convergence and searching capability to solve QoS multicast routing effectively.
机译:本文介绍了克隆选择和人工鱼群算法的QoS组播路由算法(CSA-AFSA)。混合算法合理地利用两种算法的优越性,并尝试克服其固有的缺点。改进的初始化方法用于确保初始群体中的每个单独都是合理的多播树,没有循环。模拟以不同的网络规模进行。为了性能比较,还测试了蚁群优化(ACO)算法和遗传算法(GA)。结果表明,混合算法具有高收敛速度和搜索能力,以有效地解决QoS多播路由。

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