首页> 外文会议>2007 international conference on intelligent systems and knowledge engineering (ISKE 2007) >An Evolutionary Algorithm for QoS Routing under Uncertain Parameters
【24h】

An Evolutionary Algorithm for QoS Routing under Uncertain Parameters

机译:不确定参数下的QoS路由进化算法

获取原文

摘要

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:在实际的网络中,随着网络规模和复杂性的扩展,通过路由协议收集的信息是不确定的。本文研究了网络环境中参数不确定的QOS路由问题。模糊集理论用于定义两个模糊数之间的关系,并构建多目标优化的QOS路由模型。多目标进化算法(MOEA)被用来解决这个问题。仿真表明,MOEA可以为参数不确定的网络环境中的QoS路由提供一种可用的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号