A Clustered Based Novel Approach of Graph Coloring
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6
Abstract
Abstract: An efficient graph coloring algorithm is proposed in this research paper that uses less number of colors for a graph coloring problem. The proposed algorithm is applicable for all types of graph. The algorithm works by dividing the vertices into two clusters i.e. non-visited type of clusters including the nodes that are not colored and visited type of clusters including the nodes that are already colored and finds maximum number of color that have been filled into visited nodes. An assumption is taken that k number of colors is already known and the colors are selected from the same k-colors. The proposed algorithm is implemented on random graphs along with well known ECG algorithm. In most of the cases the proposed algorithm provides better result and uses less number of colors as compare to ECG algorithm.
Authors and Affiliations
Sapna Arya , Manish Dixit
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