Prof. Meirav Zehavi

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Parameterized analysis of the cops and robber problem

Harmender Gahlawat, Meirav Zehavi

Pursuit-evasion games have been intensively studied for several decades due to their numerous applications in artificial intelligence, robot motion planning, database theory, distributed computing, and algorithmic theory. COPS AND ROBBER (CNR) is one of the most well-known pursuit-evasion games played on graphs, where multiple cops pursue a single robber. The aim is to compute the cop number of a graph, k, which is the minimum number of cops that ensures the capture of the robber. From the viewpoint of parameterized complexity, CNR is W[2]-hard parameterized by k (Fomin et al. (2010) [39]). Thus, we study structural parameters of the input graph. We begin with the vertex cover number (vcn). First, we establish that [Formula presented]. Second, we prove that CNR parameterized by vcn is FPT by designing an exponential kernel. We complement this result by showing that it is unlikely for CNR parameterized by vcn to admit a polynomial compression. We extend our exponential kernels to the parameters cluster vertex deletion number and deletion to stars number, and design a linear vertex kernel for neighborhood diversity. Additionally, we extend all of our results to several well-studied variations of CNR.

Publication language English
Journal Journal of Computer and System Sciences
Volume 158
Publication status Published - 01.06.2026
103781

Keywords

Cops and Robber
Graph searching
Kernelization
Parameterized complexity

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science
Computer Networks and Communications
Computational Theory and Mathematics
Applied Mathematics
Access to Document
10.1016/j.jcss.2026.103781
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Link to publication in Scopus