License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.IPEC.2016.13
URN: urn:nbn:de:0030-drops-69322
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/6932/
Gaspers, Serge ;
Gudmundsson, Joachim ;
Jones, Mitchell ;
Mestre, Julián ;
Rümmele, Stefan
Turbocharging Treewidth Heuristics
Abstract
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.
BibTeX - Entry
@InProceedings{gaspers_et_al:LIPIcs:2017:6932,
author = {Serge Gaspers and Joachim Gudmundsson and Mitchell Jones and Juli{\'a}n Mestre and Stefan R{\"u}mmele},
title = {{Turbocharging Treewidth Heuristics}},
booktitle = {11th International Symposium on Parameterized and Exact Computation (IPEC 2016)},
pages = {13:1--13:13},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-023-1},
ISSN = {1868-8969},
year = {2017},
volume = {63},
editor = {Jiong Guo and Danny Hermelin},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2017/6932},
URN = {urn:nbn:de:0030-drops-69322},
doi = {10.4230/LIPIcs.IPEC.2016.13},
annote = {Keywords: tree decomposition, heuristic, fixed-parameter tractability, local search}
}
Keywords: |
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tree decomposition, heuristic, fixed-parameter tractability, local search |
Collection: |
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11th International Symposium on Parameterized and Exact Computation (IPEC 2016) |
Issue Date: |
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2017 |
Date of publication: |
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09.02.2017 |