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        <identifier>oai:drops-oai.dagstuhl.de:13862</identifier>
        <datestamp>2024-03-06T10:52:54Z</datestamp>
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          <dc:title>Shadoks Approach to Low-Makespan Coordinated Motion Planning (CG Challenge)</dc:title>
          <dc:creator>Crombez, Loïc</dc:creator>
          <dc:creator>da Fonseca, Guilherme D.</dc:creator>
          <dc:creator>Gerard, Yan</dc:creator>
          <dc:creator>Gonzalez-Lorenzo, Aldo</dc:creator>
          <dc:creator>Lafourcade, Pascal</dc:creator>
          <dc:creator>Libralesso, Luc</dc:creator>
          <dc:subject>heuristics</dc:subject>
          <dc:subject>motion planning</dc:subject>
          <dc:subject>digital geometry</dc:subject>
          <dc:subject>shortest path</dc:subject>
          <dc:description>This paper describes the heuristics used by the Shadoks team for the CG:SHOP 2021 challenge on motion planning. Using the heuristics outlined in this paper, our team won first place with the best solution to 202 out of 203 instances and optimal solutions to at least 105 of them.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Loïc Crombez and Guilherme D. da Fonseca and Yan Gerard and Aldo Gonzalez-Lorenzo and Pascal Lafourcade and Luc Libralesso</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 189, 37th International Symposium on Computational Geometry (SoCG 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SoCG.2021.63</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-138622</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2021.63</dc:identifier>
          <dc:language>eng</dc:language>
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