Efficiency Analysis in Communication Networks Topology Design

E. Szlachcic, J. Mlynek
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引用次数: 7

Abstract

Increasing attention is being recently devoted to various problems in the topological design of communication networks. In the paper we propose to solve a bi-criteria network topology design problem for considering a message delay and global cost as an objective functions vector under the connectivity constraint. An approach based on the bi-criteria genetic algorithm VEGA is developed for the network topology design problem. We present some experiments in order to certify the influence of genetic algorithm parameters for the quality of optimal design variable space and of an objective functions space. Finally a global network efficiency measure is proposed as an indicator for the designer to determine an efficient network communication topology from the Pareto-optimal set of solutions. Numerical results provide to illustrate that the proposed methodology can search effectively one communication network topology
通信网络拓扑设计中的效率分析
近年来,通信网拓扑设计中的各种问题越来越受到人们的关注。在连通性约束下,考虑消息延迟和全局代价作为目标函数向量,提出了一种双准则网络拓扑设计问题。提出了一种基于双准则遗传算法VEGA的网络拓扑设计方法。为了证明遗传算法参数对最优设计变量空间和目标函数空间质量的影响,我们给出了一些实验。最后,提出了一个全局网络效率度量,作为设计者从帕累托最优解集中确定有效网络通信拓扑的指标。数值结果表明,该方法可以有效地搜索到单一的通信网络拓扑结构
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