A Greedy Probabilistic Heuristic for Graph Black-and-White Anticoloring

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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Publication Details

Journal
Journal of Graph Algorithms and Applications
Published
2024-09-08
DOI
https://doi.org/10.7155/jgaa.v28i1.2964
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
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article

A Greedy Probabilistic Heuristic for Graph Black-and-White Anticoloring

S. Mamana, Daniel Berend
Journal of Graph Algorithms and Applications
Color Science and Applications
article

A Greedy Probabilistic Heuristic for Graph Black-and-White Anticoloring

S. Mamana, Daniel Berend
article en

Abstract

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.

Journal of Graph Algorithms and ApplicationsVol. 28(1)
Ben-Gurion University of the Negev (IL)
Openalex Percentile: Top 87%
Color Science and Applications
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