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        <identifier>oai:drops-oai.dagstuhl.de:24947</identifier>
        <datestamp>2026-02-09T08:02:27Z</datestamp>
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          <dc:title>Reachability of Independent Sets and Vertex Covers Under Extended Reconfiguration Rules</dc:title>
          <dc:creator>Hirahara, Shuichi</dc:creator>
          <dc:creator>Ohsaka, Naoto</dc:creator>
          <dc:creator>Suga, Tatsuhiro</dc:creator>
          <dc:creator>Suzuki, Akira</dc:creator>
          <dc:creator>Tamura, Yuma</dc:creator>
          <dc:creator>Zhou, Xiao</dc:creator>
          <dc:subject>combinatorial reconfiguration</dc:subject>
          <dc:subject>extended reconfiguration rule</dc:subject>
          <dc:subject>independent set reconfiguration</dc:subject>
          <dc:subject>vertex cover reconfiguration</dc:subject>
          <dc:subject>PSPACE-completeness</dc:subject>
          <dc:subject>NP-completeness</dc:subject>
          <dc:description>In reconfiguration problems, we are given two feasible solutions to a graph problem and asked whether one can be transformed into the other via a sequence of feasible intermediate solutions under a given reconfiguration rule. While earlier work focused on modifying a single element at a time, recent studies have started examining how different rules impact computational complexity.&#13;
Motivated by recent progress, we study Independent Set Reconfiguration (ISR) and Vertex Cover Reconfiguration (VCR) under the k-Token Jumping (k-TJ) and k-Token Sliding (k-TS) models. In k-TJ, up to k vertices may be replaced, while k-TS additionally requires a perfect matching between removed and added vertices. It is known that the complexity of ISR crucially depends on k, ranging from PSPACE-complete and NP-complete to polynomial-time solvable.&#13;
In this paper, we further explore the gradient of computational complexity of the problems. We first show that ISR under k-TJ with k = |I| - μ remains NP-hard when μ is any fixed positive integer and the input graph is restricted to graphs of maximum degree 3 or planar graphs of maximum degree 4, where |I| is the size of feasible solutions. In addition, we prove that the problem belongs to NP not only for μ = O(1) but also for μ = O(log |I|). In contrast, we show that VCR under k-TJ is in XP when parameterized by μ = |S| - k, where |S| is the size of feasible solutions. Furthermore, we establish the PSPACE-completeness of ISR and VCR under both k-TJ and k-TS on several graph classes, for fixed k as well as superconstant k relative to the size of feasible solutions.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Shuichi Hirahara and Naoto Ohsaka and Tatsuhiro Suga and Akira Suzuki and Yuma Tamura and Xiao Zhou</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 359, 36th International Symposium on Algorithms and Computation (ISAAC 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2025.39</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-249474</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2025.39</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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