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          <dc:title>The PACE 2022 Parameterized Algorithms and Computational Experiments Challenge: Directed Feedback Vertex Set</dc:title>
          <dc:creator>Großmann, Ernestine</dc:creator>
          <dc:creator>Heuer, Tobias</dc:creator>
          <dc:creator>Schulz, Christian</dc:creator>
          <dc:creator>Strash, Darren</dc:creator>
          <dc:subject>Feedback Vertex Set</dc:subject>
          <dc:subject>Algorithm Engineering</dc:subject>
          <dc:subject>FPT</dc:subject>
          <dc:subject>Kernelization</dc:subject>
          <dc:subject>Heuristics</dc:subject>
          <dc:description>The Parameterized Algorithms and Computational Experiments challenge (PACE) 2022 was devoted to engineer algorithms solving the NP-hard Directed Feedback Vertex Set (DFVS) problem. The DFVS problem is to find a minimum subset X ⊆ V in a given directed graph G = (V,E) such that, when all vertices of X and their adjacent edges are deleted from G, the remainder is acyclic.&#13;
Overall, the challenge had 90 participants from 26 teams, 12 countries, and 3 continents that submitted their implementations to this year’s competition. In this report, we briefly describe the setup of the challenge, the selection of benchmark instances, as well as the ranking of the participating teams. We also briefly outline the approaches used in the submitted solvers.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ernestine Großmann and Tobias Heuer and Christian Schulz and Darren Strash</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 249, 17th International Symposium on Parameterized and Exact Computation (IPEC 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.IPEC.2022.26</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-173826</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2022.26</dc:identifier>
          <dc:language>eng</dc:language>
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