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
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.
Downloads
Downloads
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
License
Copyright (c) 2024 Daniel Berend, Shaked Mamana

This work is licensed under a Creative Commons Attribution 4.0 International License.