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On-line Search in Two-Dimensional Environment

机译:在线搜索二维环境

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摘要

We consider the following on-line pursuit-evasion problem. A team of mobile agents called searchers starts at an arbitrary node of an unknown network. Their goal is to execute a search strategy that guarantees capturing a fast and invisible intruder regardless of its movements using as few searchers as possible. As a way of modeling two-dimensional shapes, we restrict our attention to networks that are embedded into partial grids: nodes are placed on the plane at integer coordinates and only nodes at distance one can be adjacent. We give an on-line algorithm for the searchers that allows them to compute a connected and monotone strategy that guarantees searching any unknown partial grid with the use of O({the square root of}n) searchers, where n is the number of nodes in the grid. We prove also a lower bound of Ω({the square root of}n/log n) in terms of achievable competitive ratio of any on-line algorithm.
机译:我们考虑以下在线追求逃避问题。一个名为Searcher的移动代理团队从一个未知网络的任意节点开始。他们的目标是执行一个搜索策略,保证捕获快速和无形的入侵者,无论其少量搜索都可以使用少量的运动。作为建模二维形状的一种方式,我们将我们的注意力限制在嵌入部分网格中的网络:节点放置在整数坐标的平面上,并且仅距离处的节点可以是相邻的。我们为搜索者提供了一个在线算法,允许它们计算连接和单调的策略,以便使用O({n个)搜索者的任何未知部分网格搜索,其中n是节点的数量在网格中。在可实现的任何在线算法的可实现竞争比率方面,我们还证明了ω({n / log n的正方形根部)的下限。

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