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        <identifier>oai:drops-oai.dagstuhl.de:22258</identifier>
        <datestamp>2024-12-05T15:32:41Z</datestamp>
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          <dc:title>PACE Solver Description: Martin_J_Geiger</dc:title>
          <dc:creator>Geiger, Martin Josef</dc:creator>
          <dc:subject>PACE 2024</dc:subject>
          <dc:subject>one-sided crossing minimization</dc:subject>
          <dc:subject>Variable Neighborhood Search</dc:subject>
          <dc:subject>Iterated Local Search</dc:subject>
          <dc:description>This extended abstract outlines our contribution to the Parameterized Algorithms and Computational Experiments Challenge (PACE), which invited to work on the one-sided crossing minimization problem. Our ideas are primarily based on the principles of Iterated Local Search and Variable Neighborhood Search. For obvious reasons, the initial alternative stems from the barycenter heuristic. This first sequence (permutation) of nodes is then quickly altered/ improved by a set of operators, keeping the elite configuration while allowing for worsening moves and hence, escaping local optima.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Martin Josef Geiger</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 321, 19th International Symposium on Parameterized and Exact Computation (IPEC 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.IPEC.2024.32</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-222587</dc:identifier>
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          <dc:language>eng</dc:language>
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