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A spanning tree-based genetic algorithm for bicriteria topological network design

机译:用于双标准拓扑网络设计的基于生成树的遗传算法

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The optimization problems for the communication network have been taken attentions by many related researchers, such as network designers, network analysts, network administrators. And the use of computer communication networks has been rapidly increasing in order to share expensive hardware/software resources and provide access to main system from distant locations. These network problems have many applications in telecommunications, computer networking, and the related domains in electric, gas, and sewer networks. Especially, in the computer networking, LANs are commonly used as the communication infrastructure that meets the demands of the users in local environment. These networks typically consist of several LAN segments connected together via bridges. The use of these transparent bridges requires loop-free paths between LAN segments. Therefore, only spanning tree topologies can be used as active LAN configurations. Recently, genetic algorithms have got a great advancement in related research fields, such as network optimization problem, combinatorial optimization, multiobjective optimization, and so on. Also genetic algorithm have received a great deal of attention about its ability as optimization techniques for many real-world problem. In this paper, we attempt to the topology design problem in LAN with bicriteria which is minimizing the cost and average message delay using spanning tree-based genetic algorithm, because the interconnection between the network service centers must yield spanning tree configurations. Finally, we get some experiments in order to certify the quality of the networks designs obtained by using spanning tree-based genetic algorithm.
机译:许多相关研究人员(例如网络设计师,网络分析师,网络管理员)等待通信网络的优化问题已被注意到。并且,计算机通信网络的使用已经迅速增加,以分享昂贵的硬件/软件资源,并从远处位置提供对主系统的访问。这些网络问题在电信,计算机网络和电气,气体和下水道网络中有许多应用。特别是,在计算机网络中,LAN通常用作满足当地环境中用户需求的通信基础设施。这些网络通常包括通过桥接连接在一起的几个LAN段。这些透明桥梁的使用需要LAN段之间的无环路路径。因此,只有生成树拓扑可以用作有源LAN配置。最近,遗传算法在相关的研究领域拥有巨大的进步,例如网络优化问题,组合优化,多目标优化等。遗传算法还有大量关注其作为许多真实问题的优化技术的能力。在本文中,我们尝试使用Bicritia的LAN中的拓扑设计问题,这最小化了使用生成基于树的遗传算法的成本和平均消息延迟,因为网络服务中心之间的互连必须产生生成树配置。最后,我们获得一些实验,以证明通过使用跨越基于树的遗传算法获得的网络设计的质量。

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