<?xml version="1.0"?>
<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>A fresh look at a randomized massively parallel graph coloring algorithm</dc:title><dc:creator>Gabrovšek,	Boštjan	(Avtor)
	</dc:creator><dc:creator>Žerovnik,	Janez	(Avtor)
	</dc:creator><dc:subject>combinatorial optimization</dc:subject><dc:subject>graph coloring</dc:subject><dc:subject>randomized local search procedure</dc:subject><dc:subject>temperature</dc:subject><dc:description>Petford and Welsh introduced a sequential heuristic algorithm to provide an approximate solution to the NP-hard graph coloring problem. The algorithm is based on the antivoter model and mimics the behavior of a physical process based on a multi-particle system of statistical mechanics. It was later shown that the algorithm can be implemented in a massively parallel model of computation. The increase in computational processing power in recent years allows us to perform an extensive analysis of the algorithms on a larger scale, leading to the possibility of a more comprehensive understanding of the behavior of the algorithm, including the phase transition phenomena.</dc:description><dc:date>2024</dc:date><dc:date>2024-10-08 10:44:03</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>163512</dc:identifier><dc:identifier>UDK: 519.17:004.021</dc:identifier><dc:identifier>ISSN pri članku: 1848-0225</dc:identifier><dc:identifier>DOI: 10.17535/crorr.2024.0009</dc:identifier><dc:identifier>COBISS_ID: 210624771</dc:identifier><dc:language>sl</dc:language></metadata>
