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首页> 外文期刊>The mediterranean journal of electronics and communications >EVALUATION OF DIFFERENT PATH COMPOSITION APPROACHES TO MULTICAST OPTIMIZATION WITH FUZZY SETS
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EVALUATION OF DIFFERENT PATH COMPOSITION APPROACHES TO MULTICAST OPTIMIZATION WITH FUZZY SETS

机译：基于模糊集的多播优化的不同路径组合方法评估

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摘要

Nowadays, the variety of types of traffic transmitted over a single medium increases rapidly. The problem of finding the shortest path and the minimum cost multicast tree for the Internet topology can no longer be easily defined as there is an increasing number of different traffic characteristics. Therefore, in the mathematical models used to solve modern routing problems multiple criteria must be taken into account. One of the interesting classes of the optimization problem is the problem of finding a solution that is minimized against one of the criteria under certain constraints with regard to the others. Such a variety of parameters complicate the research methodology and, accordingly, it seems necessary to find a fast and reliable methods that evaluate routing algorithms. In this article, different algorithms that are based on different interpretations of the path composition are evaluated and compared. A new technique - the Aggregated MLARAC is proposed and described. Two different ways of the algorithm performance evaluation have been utilized in order to present different aspects of the considered algorithms. The article also presents a proposal of a new methodology that would evaluate multiconstrained multicast routing algorithms in packet-switched networks with an application of fuzzy sets theory.
机译：如今，通过单一媒体传输的各种流量类型迅速增加。由于越来越多的不同流量特性，不再容易定义为Internet拓扑找到最短路径和最低成本的多播树的问题。因此，在用于解决现代路由问题的数学模型中，必须考虑多个标准。优化问题中有趣的一类是找到一种解决方案的问题，该解决方案在某些约束条件下相对于其他约束条件中的一个约束条件而被最小化。如此众多的参数使研究方法复杂化，因此，似乎有必要找到一种快速可靠的方法来评估路由算法。在本文中，将评估和比较基于对路径组成的不同解释的不同算法。提出并描述了一种新技术-聚合MLARAC。为了呈现所考虑算法的不同方面，已经利用了两种不同的算法性能评估方式。本文还提出了一种新方法的建议，该方法将应用模糊集理论评估分组交换网络中的多约束多播路由算法。

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