A competitive strategy for distance-aware online shape allocation

A competitive strategy for distance-aware online shape allocation
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距离感知在线形状分配的竞争策略

DOI:
10.1016/j.tcs.2014.02.050
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发表时间:
2014
期刊:
Theor. Comput. Sci.
影响因子:
--
通讯作者:
N. Schweer
N. Schweer
中科院分区:
--
文献类型:
--
作者:
S.P. Fekete;J.-M. Reinhardt;N. Schweer

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考虑如下在线分配问题:给定一个单位正方形S和一个数列ni ∈[0,1],其中∑ j= 0 i n j <$1;在每一步i,选择一个区域Ci,该区域Ci是S中先前未分配的区域ni.目标是使这些区域在距离感知意义上紧凑:最小化来自同一集合Ci的点之间的最大(归一化)平均曼哈顿距离。相关的选址问题已经得到了相当多的关注;特别是,确定“城市的最佳形状”的问题,即分配一个单一的n i已经研究。我们提出了一个在线策略,基于空间填充曲线的分析,对于连续形状,我们证明了一个因子为1.8092,离散点集为1.7848。
We consider the following online allocation problem: Given a unit square S, and a sequence of numbers n i∈[0, 1] with∑ j= 0 i n j⩽ 1; at each step i, select a region C i of previously unassigned area n i in S. The objective is to make these regions compact in a distance-aware sense: minimize the maximum (normalized) average Manhattan distance between points from the same set C i. Related location problems have received a considerable amount of attention; in particular, the problem of determining the “optimal shape of a city”, ie, allocating a single n i has been studied. We present an online strategy, based on an analysis of space-filling curves; for continuous shapes, we prove a factor of 1.8092, and 1.7848 for discrete point sets.
DOI: 10.1109/icpr.1994.577130
发表时间: 1994-10
期刊: Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 2 - Conference B: Computer Vision & Image Processing. (Cat. No.94CH3440-5)
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