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The Cartographer
Simulated Annealing Algorithm for Graph Coloring
December 03, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Alper Kose, Berke Aral Sonmez, Metin Balaban
arXiv ID
1712.00709
Category
cs.AI: Artificial Intelligence
Citations
7
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The goal of this Random Walks project is to code and experiment the Markov Chain Monte Carlo (MCMC) method for the problem of graph coloring. In this report, we present the plots of cost function \(\mathbf{H}\) by varying the parameters like \(\mathbf{q}\) (Number of colors that can be used in coloring) and \(\mathbf{c}\) (Average node degree). The results are obtained by using simulated annealing scheme, where the temperature (inverse of \(\mathbfΞ²\)) parameter in the MCMC is lowered progressively.
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