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An Evolutionary Algorithm for QoS Routing under Uncertain Parameters

机译:不确定参数下QoS路由的进化算法

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In the actual network the information collected through routing protocols is uncertain with the expansion of network size and complexity. In this paper, the QOS routing problem is investigated in the networks environment with uncertain parameters. The fuzzy set theory is used to define the relationship between two fuzzy numbers, and construct a QOS routing model of multi-objective optimization. A multi-objective evolutionary algorithm (MOEA) is utilized to solve the problem. Simulation shows the MOEA can provide an available approach to QoS routing in networks environment with uncertain parameters.
机译:在实际网络中,通过路由协议收集的信息不确定网络大小扩展和复杂性。本文在具有不确定参数的网络环境中研究了QoS路由问题。模糊集理论用于定义两个模糊数之间的关系,构建多目标优化的QoS路由模型。利用多目标进化算法(MOEA)来解决问题。仿真显示MOEA可以提供具有不确定参数的网络环境中的QoS路由的可用方法。

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