Sink location problems in dynamic flow grid networks

IF 0.9 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Yuya Higashikawa, Ayano Nishii, Junichi Teruyama, Yuki Tokuni
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引用次数: 0

Abstract

A dynamic flow network consists of a directed graph, where nodes called sources represent locations of evacuees, and nodes called sinks represent locations of evacuation facilities. Each source and each sink are given supply representing the number of evacuees and demand representing the maximum number of acceptable evacuees, respectively. Each edge is given capacity and transit time. Here, the capacity of an edge bounds the rate at which evacuees can enter the edge per unit time, and the transit time represents the time which evacuees take to travel across the edge. The evacuation completion time is the minimum time at which each evacuee can arrive at one of the evacuation facilities. Given a dynamic flow network without sinks, once sinks are located on some nodes or edges, the evacuation completion time for this sink location is determined. We then consider the problem of locating sinks to minimize the evacuation completion time, called the sink location problem. The problems have been given polynomial-time algorithms only for limited networks such as paths [1], [2], [3], cycles [1], and trees [4], [5], [6], but no polynomial-time algorithms are known for more complex network classes. In this paper, we prove that the 1-sink location problem can be solved in polynomial-time when an input network is a grid with uniform edge capacity and transit time.

动态流网格网络中的下沉点定位问题
动态人流网络由一个有向图组成,其中称为 "源 "的节点代表疏散人员的位置,称为 "汇 "的节点代表疏散设施的位置。每个源和每个汇分别有代表疏散人数的供应量和代表可接受疏散人数上限的需求量。每条边都有容量和传输时间。在这里,边缘的容量是指疏散人员在单位时间内进入边缘的速度,而过境时间是指疏散人员穿越边缘所需的时间。疏散完成时间是每个疏散人员到达其中一个疏散设施的最短时间。给定一个没有汇集点的动态流网络,一旦在某些节点或边缘找到汇集点,就能确定该汇集点的疏散完成时间。我们接下来要考虑的问题是,如何确定水槽的位置,使疏散完成时间最小化,这就是水槽位置问题。对于有限的网络,如路径 [1]、[2]、[3]、循环 [1] 和树 [4]、[5]、[6],这些问题只给出了多项式时间算法,但对于更复杂的网络类别,还没有已知的多项式时间算法。在本文中,我们证明了当输入网络是具有均匀边容量和传输时间的网格时,1-汇定位问题可以在多项式时间内求解。
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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来源期刊
Theoretical Computer Science
Theoretical Computer Science 工程技术-计算机:理论方法
CiteScore
2.60
自引率
18.20%
发文量
471
审稿时长
12.6 months
期刊介绍: Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.
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