• Media type: Text; E-Article; Electronic Conference Proceeding
  • Title: Turbocharging Treewidth Heuristics
  • Contributor: Gaspers, Serge [Author]; Gudmundsson, Joachim [Author]; Jones, Mitchell [Author]; Mestre, Julián [Author]; Rümmele, Stefan [Author]
  • Published: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2017
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.IPEC.2016.13
  • Keywords: tree decomposition ; fixed-parameter tractability ; local search ; heuristic
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  • Description: A widely used class of algorithms for computing tree decompositions of graphs are heuristics that compute an elimination order, i.e., a permutation of the vertex set. In this paper, we propose to turbocharge these heuristics. For a target treewidth k, suppose the heuristic has already computed a partial elimination order of width at most k, but extending it by one more vertex exceeds the target width k. At this moment of regret, we solve a subproblem which is to recompute the last c positions of the partial elimination order such that it can be extended without exceeding width k. We show that this subproblem is fixed-parameter tractable when parameterized by k and c, but it is para-NP-hard and W[1]-hard when parameterized by only k or c, respectively. Our experimental evaluation of the FPT algorithm shows that we can trade a reasonable increase of the running time for quality of the solution.
  • Access State: Open Access