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Minsum k-Sink Problem on Dynamic Flow Path Networks

机译:动态流动路径网络上的明尼苏姆k-inr问题

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In emergencies such as earthquakes, nuclear accidents, etc., we need an evacuation plan. We model a street, a building corridor, etc. by a path network, and consider the problem of locating a set of k sinks on a dynamic flow path network with n vertices, where people are located, that minimizes the sum of the evacuation times of all evacuees. Our minsum model is more difficult to deal with than the minmax model, because the cost function is not monotone along the path. We present an O(kn~2 log~2 n) time algorithm for solving this problem, which is the first polynomial time result. If the edge capacities are uniform, we give an O(kn log~3 n) time algorithm.
机译:在地震,核事故等的紧急情况下,我们需要一个疏散计划。我们通过路径网络绘制一条街道,建筑物走廊等,并考虑使用N个顶点的动态流路网络上定位一组K下沉的问题,其中人们所在的N个顶点,这最小化了疏散时间的总和所有的疏口。我们的明白模型比MinMax模型更难以处理,因为成本函数不是沿着路径的单调。我们介绍了解决这个问题的O(KN〜2 log〜2 n)时间算法,这是第一个多项式时间结果。如果边缘容量是均匀的,则提供O(kn log〜3 n)时间算法。

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