A Greedy Probabilistic Heuristic for Graph Black-and-White Anticoloring
DOI:
https://doi.org/10.7155/jgaa.v28i1.2964Keywords:
anticoloring, random graphs, denormalizationAbstract
Given a graph $G$ and positive integers $b$ and $w$, the Black-and-White Coloring problem asks about the existence of a partial vertex-coloring of $G$, with $b$ vertices colored black and $w$ white, such that there is no edge between a black and a white vertex. The problem is known to be NP-complete.
In this paper, we deal with the optimization version, mainly for random graphs. Using the method of conditional expectations, we develop a heuristic with a good performance. We also obtain theoretical results on some of the relevant quantities, and compare the performance of the heuristic with that of several others.
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Copyright (c) 2024 Daniel Berend, Shaked Mamana
This work is licensed under a Creative Commons Attribution 4.0 International License.