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        <identifier>oai:drops-oai.dagstuhl.de:20067</identifier>
        <datestamp>2024-05-31T13:11:11Z</datestamp>
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          <dc:title>Optimizing Visibility-Based Search in Polygonal Domains</dc:title>
          <dc:creator>Huynh, Kien C.</dc:creator>
          <dc:creator>Mitchell, Joseph S. B.</dc:creator>
          <dc:creator>Nguyen, Linh</dc:creator>
          <dc:creator>Polishchuk, Valentin</dc:creator>
          <dc:subject>Quota watchman route problem</dc:subject>
          <dc:subject>budgeted watchman route problem</dc:subject>
          <dc:subject>visibility-based search</dc:subject>
          <dc:subject>approximation</dc:subject>
          <dc:description>Given a geometric domain P, visibility-based search problems seek routes for one or more mobile agents ("watchmen") to move within P in order to be able to see a portion (or all) of P, while optimizing objectives, such as the length(s) of the route(s), the size (e.g., area or volume) of the portion seen, the probability of detecting a target distributed within P according to a prior distribution, etc. The classic watchman route problem seeks a shortest route for an observer, with omnidirectional vision, to see all of P. In this paper we study bicriteria optimization problems for a single mobile agent within a polygonal domain P in the plane, with the criteria of route length and area seen. Specifically, we address the problem of computing a minimum length route that sees at least a specified area of P (minimum length, for a given area quota). We also study the problem of computing a length-constrained route that sees as much area as possible. We provide hardness results and approximation algorithms. In particular, for a simple polygon P we provide the first fully polynomial-time approximation scheme for the problem of computing a shortest route seeing an area quota, as well as a (slightly more efficient) polynomial dual approximation. We also consider polygonal domains P (with holes) and the special case of a planar domain consisting of a union of lines. Our results yield the first approximation algorithms for computing a time-optimal search route in P to guarantee some specified probability of detection of a static target within P, randomly distributed in P according to a given prior distribution.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Kien C. Huynh and Joseph S. B. Mitchell and Linh Nguyen and Valentin Polishchuk</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 294, 19th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SWAT.2024.27</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-200671</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SWAT.2024.27</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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