Parameterized Algorithmics for Graph Modification Problems: On Interactions with Heuristics
June 10, 2016 Β· Declared Dead Β· π International Workshop on Graph-Theoretic Concepts in Computer Science
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Authors
Christian Komusiewicz, AndrΓ© Nichterlein, Rolf Niedermeier
arXiv ID
1606.03268
Category
cs.DS: Data Structures & Algorithms
Citations
4
Venue
International Workshop on Graph-Theoretic Concepts in Computer Science
Last Checked
4 months ago
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.
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