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

Daniel Berend, Shaked Mamana

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)365-383
Number of pages19
JournalJournal of Graph Algorithms and Applications
Volume28
Issue number1
DOIs
StatePublished - 16 May 2024

Keywords

  • anticoloring
  • denormalization
  • random graphs

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science
  • Computer Science Applications
  • Geometry and Topology
  • Computational Theory and Mathematics

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