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Parameterized Algorithmics for Graph Modification Problems: On Interactions with Heuristics

  • Christian Komusiewicz
  • André Nichterlein
  • Rolf NiedermeierEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9224)

Abstract

In graph modification problems, one is given a graph G and the goal is to apply a minimum number of modification operations (such as edge deletions) to G such that the resulting graph fulfills a certain property. For example, the Cluster Deletion problem asks to delete as few edges as possible such that the resulting graph is a disjoint union of cliques. Graph modification problems appear in numerous applications, including the analysis of biological and social networks. Typically, graph modification problems are NP-hard, making them natural candidates for parameterized complexity studies. We discuss several fruitful interactions between the development of fixed-parameter algorithms and the design of heuristics for graph modification problems, featuring quite different aspects of mutual benefits.

Keywords

Local Search Vertex Cover Linear Programming Relaxation Edge Deletion Vertex Deletion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

We are grateful to Till Fluschnik and Vincent Froese for feedback to our manuscript.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Christian Komusiewicz
    • 1
  • André Nichterlein
    • 1
  • Rolf Niedermeier
    • 1
    Email author
  1. 1.Institut für Softwaretechnik und Theoretische InformatikTU BerlinBerlinGermany

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