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An approximation algorithm for discrete minimum cost flows over time problem

机译:时间上离散最小成本流的近似算法

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摘要

Ford and Fulkerson around 50 years ago introduced flows over time by adding time dimension to the traditional network flow model. Road and air traffic control, production systems, communication networks (e.g., the internet) and financial flows are examples of this subject. What distinguishes flows over time from the traditional model is transit time on every arc which specifies the amount of time, flow units need to traverse the arc. In this model, flow rate entering an arc may change over time. One of the problems arising in this issue is the minimum cost flow over time problem which aims to determine an s-t flow over time f that satisfies demand d within given time horizon T at minimum cost. It is already shown that this problem is NP-hard, thus as usual a fair amount of study devoted to finding an efficient approximation algorithm for this issue. In this paper, we introduce an approximation algorithm for the T-length bounded discrete minimum cost flows over time problem.
机译:大约50年前,Ford和Fulkerson通过在传统网络流量模型中增加时间维度来引入随时间变化的流量。道路和空中交通管制,生产系统,通信网络(例如互联网)和资金流是该主题的示例。随时间变化的流量与传统模型的不同之处在于每个弧段上的过渡时间,它指定了流经弧段所需的时间量。在此模型中,进入电弧的流量可能会随时间变化。该问题中出现的问题之一是随时间流逝的最小成本问题,该问题旨在确定随时间f的s-t流,它在给定的时间范围T内以最小成本满足需求d。已经表明该问题是NP难题,因此,与往常一样,大量的研究致力于为该问题寻找有效的近似算法。在本文中,我们针对T长度有界离散最小成本流随时间的问题引入了一种近似算法。

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