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QoS multicast routing algorithm based on GA 认领 引用 被引量：10
1
作者 李腊元 李春林 《Journal of Systems Engineering and Electronics》 2004年第1期90-97,共8页
The multicast routing problem with multiple QoS constraints in networks with uncertain parameters is discussed, and a network model that is suitable to research such QoS multicast routing problem is described. The QMR... The multicast routing problem with multiple QoS constraints in networks with uncertain parameters is discussed, and a network model that is suitable to research such QoS multicast routing problem is described. The QMRGA, a multicast routing policy for Internet, mobile network or other highperformance networks is mainly presented, which is based on the genetic algorithm(GA), and can provide QoSsensitive paths in a scalable and flexible way in the network environment with uncertain parameters. The QMRGA can also optimize the network resources such as bandwidth and delay, and can converge to the optimal or nearoptimal solution within few iterations, even for the network environment with uncertain parameters. The incremental rate of computational cost can be close to a polynomial and is less than exponential rate. The performance measures of the QMRGA are evaluated by using simulations. The results show that QMRGA provides an available approach to QoS multicast routing in network environment with uncertain parameters. 展开更多
关键词 multicast routing QoS genetic algorithm network with uncertain parameters
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Optimizing on multiple constrained QoS multicast routing algorithms based on GA 认领 引用 被引量：8
2
作者 SunBaolin LiLayuan 《Journal of Systems Engineering and Electronics》 2004年第4期677-683,共7页
With the rapid development of Intemet, mobile networks and high-performance networking technology, multiple constrained QoS multicast routing optimization in networks with uncertain parameters has become a very import... With the rapid development of Intemet, mobile networks and high-performance networking technology, multiple constrained QoS multicast routing optimization in networks with uncertain parameters has become a very important research issue in the areas of networks and distributed systems. It is also a challenging and hard problem to the next generation Intemet and high-performance networks, and has attracted the interests of many people. This paper discusses the multiple constrained QoS multicast routing problem, which may deal with the delay, delay jitter, bandwidth and packet loss metrics, and describes a network model for researching the routing problem. The paper mainly presents multiple constrained QoS multicast routing algorithm (MCQMRA), a QoS multicast routing policy for Intemet, mobile network or other high-performance networks, which is based on the genetic algorithm (GA) and can provide QoS-sensitive paths in a scalable and flexible wayin the network environment with uncertain parameters. The MCQMRA can also optimize the network resources such as bandwidth, delay, packet loss metrics and can converge to the optimal or near-optimal solution within few iterations, even for the network environment with uncertain parameters. Simulation results show that MCQMRA is an available approach to QoS multicast routing decision. 展开更多
关键词 GA 服务质量 多址通信路径选择 遗传算法 不确定参数 移动通信
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