Flows in strongly regular periodic dynamic resource networks

Pub Date : 2021-09-01 DOI:10.35634/vm210308
V. Skorokhodov, D.O. Sviridkin
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Abstract

This paper is devoted to studying the processes of resource allocation in dynamic resource networks. In such networks, the capacities of the arcs depend on time. Resource allocation in the network occurs in discrete time. The resource of each vertex is distributed only between adjacent vertices according to some rules. The study of the processes of resource redistribution in such networks is carried out. The main goal is to develop methods for finding the limit state (distribution) of a resource in a dynamic resource network. It is shown that the approach based on the construction of an auxiliary network is also applicable to reduce the problem of resource allocation in a dynamic network to a similar problem in an auxiliary network. Theorems on the existence of a limit state on an auxiliary graph are proved for strongly regular periodic dynamical networks. To find the limit states, one can use the approaches which are developed for the shortest path problem in dynamic networks.
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在强规则周期性动态资源网络中流动
本文主要研究动态资源网络中的资源配置过程。在这种网络中,弧线的容量取决于时间。网络中的资源分配发生在离散时间。每个顶点的资源按照一定的规则只分布在相邻的顶点之间。对这种网络中的资源再分配过程进行了研究。主要目标是开发在动态资源网络中寻找资源的极限状态(分布)的方法。结果表明,基于辅助网络构造的方法同样适用于将动态网络中的资源分配问题简化为辅助网络中的类似问题。证明了强正则周期动态网络辅助图上极限状态的存在性定理。为了找到极限状态,可以使用动态网络中最短路径问题的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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