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Improving Computing Performance for Algorithm Finding Maximal Flows on Extended Mixed Networks

机译:改进计算性能,以在扩展的混合网络上找到最大流量的算法

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Graph is a powerful mathematical tool applied in many fields as transportation, communication, informatics, economy, ... In ordinary graph the weights of edges and vertexes are considered independently where the length of a path is the sum of weights of the edges and the vertexes on this path. However, in many practical problems, weights at a vertex are not the same for all paths passing this vertex, but depend on coming and leaving edges. The paper develops a model of extended network that can be applied to modelling many practical problems more exactly and effectively. The main contribution of this paper is a source-sink alternative algorithm, then improving computing performance for algorithm finding maximal flows on extended mixed networks.
机译:图是一种功能强大的数学工具,广泛应用于交通,通讯,信息学,经济...等领域。在普通图中,边和顶点的权重被独立考虑,其中路径的长度是边和顶点的权重之和。此路径上的顶点。但是,在许多实际问题中,顶点上的权重对于通过该顶点的所有路径都不相同,但取决于出入边。本文开发了一个扩展网络模型,该模型可用于更准确,更有效地建模许多实际问题。本文的主要贡献是一种源库替代算法,然后提高了计算性能,以寻找扩展混合网络上的最大流量的算法。

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