Parameterized Local Search for Vertex Cover: When only the Search Radius is Crucial
Christian Komusiewicz, Nils Morawietz

TL;DR
This paper develops parameterized algorithms for the LS Vertex Cover problem, focusing on the search radius parameter and structural graph parameters like treewidth and modular-width, to efficiently find improving vertex swaps.
Contribution
It introduces algorithms with running times depending mildly on structural parameters and strongly on the search radius, addressing the W[1]-hardness of the problem.
Findings
Algorithms with running time $ ext{ell}^{f(k)} imes n^{O(1)}$ for various parameters.
Extension to weighted vertex cover and $d$-improving swaps.
New parameter based on maximum degree in quotient graphs.
Abstract
A vertex set in a graph is a valid -swap for a vertex cover of if has size at most and , the symmetric difference of and , is a vertex cover of . If , then is improving. In LS Vertex Cover, one is given a vertex cover of a graph and wants to know if there is a valid improving -swap for in . In applications of LS Vertex Cover, is a very small parameter that can be set by a user to determine the trade-off between running time and solution quality. Consequently, can be considered to be a constant. Motivated by this and the fact that LS Vertex Cover is W[1]-hard with respect to , we aim for algorithms with running time where is a structural graph parameter upper-bounded by . We say that such a running time grows mildly…
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