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首页> 外文期刊>LIPIcs : Leibniz International Proceedings in Informatics >An O(n^2 log^2 n) Time Algorithm for Minmax Regret Minsum Sink on Path Networks
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An O(n^2 log^2 n) Time Algorithm for Minmax Regret Minsum Sink on Path Networks

机译:路径网络上最小最大后悔最小接收器的O(n ^ 2 log ^ 2 n)时间算法

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We model evacuation in emergency situations by dynamic flow in a network. We want to minimize the aggregate evacuation time to an evacuation center (called a sink) on a path network with uniform edge capacities. The evacuees are initially located at the vertices, but their precise numbers are unknown, and are given by upper and lower bounds. Under this assumption, we compute a sink location that minimizes the maximum "regret." We present the first sub-cubic time algorithm in n to solve this problem, where n is the number of vertices. Although we cast our problem as evacuation, our result is accurate if the "evacuees" are fluid-like continuous material, but is a good approximation for discrete evacuees.
机译:我们通过网络中的动态流对紧急情况下的疏散进行建模。我们希望最大程度地减少到达边缘容量一致的路径网络上的疏散中心(称为汇)的总疏散时间。撤离人员最初位于顶点,但其确切数字未知,由上限和下限给出。在此假设下,我们计算出使最大“后悔”程度最小的汇点位置。我们提出n中的第一个亚三次时间算法来解决此问题,其中n是顶点数。尽管我们将问题归结为疏散,但如果“撤离者”是流体状的连续材料,我们的结果是准确的,但对于离散撤离者来说,这是一个很好的近似值。

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