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

Authors

  • Daniel Berend Ben-Gurion University
  • Shaked Mamana Ben-Gurion University

DOI:

https://doi.org/10.7155/jgaa.v28i1.2964

Keywords:

anticoloring, random graphs, denormalization

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.

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Published

2024-09-08

How to Cite

Berend, D., & Mamana, S. (2024). A Greedy Probabilistic Heuristic for Graph Black-and-White Anticoloring. Journal of Graph Algorithms and Applications, 28(1), 365–383. https://doi.org/10.7155/jgaa.v28i1.2964

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