IP Models for Minimum Zero Forcing Sets, Forts, and Related Graph Parameters
Thomas R. Cameron, Jonad Pulaj

TL;DR
This paper develops new integer programming models for zero forcing and related graph parameters, providing computational tools and experimental validation for small to medium graphs, and addressing open conjectures.
Contribution
It introduces variations and new models for zero forcing, forts, and related parameters, advancing the computational methods in this area.
Findings
Models effectively compute zero forcing parameters on small and medium graphs.
Experimental results support several open conjectures in zero forcing theory.
New insights into the structure of forts and propagation times in graphs.
Abstract
Zero forcing is a binary coloring game on a graph where a set of filled vertices can force non-filled vertices to become filled following a color change rule. In 2008, the zero forcing number of a graph was shown to be an upper bound on its maximum nullity. In addition, the combinatorial optimization problem for the zero forcing number was shown to be NP-hard. Since then, the study of zero forcing and its related parameters has received considerable attention. In 2018, the forts of a graph were defined as non-empty subsets of vertices where no vertex outside the set has exactly one neighbor in the set. Forts have been used to model zero forcing as an integer program and provide lower bounds on the zero forcing number. To date, three integer programming models have been developed for the zero forcing number of a graph: the Infection Model, Time Step Model, and Fort Cover Model. In this…
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Taxonomy
TopicsScheduling and Timetabling Solutions · Advanced Graph Theory Research · Artificial Intelligence in Games
