简单多边形中双守望者路线的近似算法

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Algorithmica Pub Date : 2024-06-19 DOI:10.1007/s00453-024-01245-0
Bengt J. Nilsson, Eli Packer
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引用次数: 0

摘要

双守望者路线问题是指在一个环境中计算一对封闭的巡回路线,使这两条巡回路线一起看到整个环境,并使这两条巡回路线上的某个长度度量最小。两种标准度量方法是:最小最大度量,即我们希望最长的两条路线的长度最小;最小总和度量,即我们希望两条路线的长度总和最小。众所周知,对于简单的直角多边形以及简单的多边形来说,计算一条最小双守望者路线是 NP 难的。此外,任何最小双守望者路线的 c 近似算法都自动是最小双守望者路线的 2c 近似算法。我们展示了在简单多边形中计算 minmax 双守望者路线的两种常数因子近似算法,其近似因子分别为 5.969 和 11.939,运行时间分别为 (O(n^8)\)和 (O(n^4)\),其中 n 是多边形的顶点数。我们还使用同样的技术得到了固定双守望者路线问题的 6.922 个近似值,运行时间为 \(O(n^2)\),也就是说,当两个游程的两个起点作为输入时,运行时间为 \(O(n^2)\)。
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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Approximation Algorithms for the Two-Watchman Route in a Simple Polygon

The two-watchman route problem is that of computing a pair of closed tours in an environment so that the two tours together see the whole environment and some length measure on the two tours is minimized. Two standard measures are: the minmax measure, where we want the tours where the longest of them has smallest length, and the minsum measure, where we want the tours for which the sum of their lengths is the smallest. It is known that computing a minmax two-watchman route is NP-hard for simple rectilinear polygons and thus also for simple polygons. Also, any c-approximation algorithm for the minmax two-watchman route is automatically a 2c-approximation algorithm for the minsum two-watchman route. We exhibit two constant factor approximation algorithms for computing minmax two-watchman routes in simple polygons with approximation factors 5.969 and 11.939, having running times \(O(n^8)\) and \(O(n^4)\) respectively, where n is the number of vertices of the polygon. We also use the same techniques to obtain a 6.922-approximation for the fixed two-watchman route problem running in \(O(n^2)\) time, i.e., when two starting points of the two tours are given as input.

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来源期刊
Algorithmica
Algorithmica 工程技术-计算机:软件工程
CiteScore
2.80
自引率
9.10%
发文量
158
审稿时长
12 months
期刊介绍: Algorithmica is an international journal which publishes theoretical papers on algorithms that address problems arising in practical areas, and experimental papers of general appeal for practical importance or techniques. The development of algorithms is an integral part of computer science. The increasing complexity and scope of computer applications makes the design of efficient algorithms essential. Algorithmica covers algorithms in applied areas such as: VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools, as well as algorithms in fundamental areas such as sorting, searching, data structures, computational geometry, and linear programming. In addition, the journal features two special sections: Application Experience, presenting findings obtained from applications of theoretical results to practical situations, and Problems, offering short papers presenting problems on selected topics of computer science.
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