A Greedy Probabilistic Heuristic for Graph Black-and-White Anticoloring
Journal of Graph Algorithms and Applications, Tome 28 (2024) no. 1, pp. 365-383.

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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.
DOI : 10.7155/jgaa.v28i1.2964
Keywords: anticoloring, random graphs, denormalization

Daniel Berend 1 ; Shaked Mamana 1

1 Ben-Gurion University
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Daniel Berend; Shaked Mamana. A Greedy Probabilistic Heuristic for Graph Black-and-White Anticoloring. Journal of Graph Algorithms and Applications, Tome 28 (2024) no. 1, pp. 365-383. doi : 10.7155/jgaa.v28i1.2964. http://geodesic.mathdoc.fr/articles/10.7155/jgaa.v28i1.2964/

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