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Research Article | Open Access |

A Novel Edge Cover based Graph Coloring Algorithm

Author 1: Harish Patidar Author 2: Dr. Prasun Chakrabarti
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 8, No. 5 · Published 2017 · Cited by 5

DOI: https://doi.org/10.14569/IJACSA.2017.080534

Abstract

Graph Colouring Problem is a well-known NP-Hard problem. In Graph Colouring Problem (GCP) all vertices of any graph must be coloured in such a way that no two adjacent vertices are coloured with the same colour. In this paper, a new algorithm is proposed to solve the GCP. Proposed algorithm is based on finding vertex sets using edge cover method. In this paper implementation prospective of the algorithm is also discussed. Implemented algorithm is tested on various graph instances of DIMACS standards dataset. Algorithm execution time and a number of colours required to colour graph are compared with some other well-known Graph Colouring Algorithms. Variation in time complexity with reference to increasing in the number of vertices, a number of edges and an average degree of a graph are also discussed in this paper.

Keywords

How to Cite this Article

Patidar, H., & Chakrabarti, D. P. (2017). A Novel Edge Cover based Graph Coloring Algorithm. International Journal of Advanced Computer Science and Applications, 8(5). https://doi.org/10.14569/IJACSA.2017.080534

Patidar, Harish, and Dr. Prasun Chakrabarti. "A Novel Edge Cover based Graph Coloring Algorithm." International Journal of Advanced Computer Science and Applications, vol. 8, no. 5, 2017, https://doi.org/10.14569/IJACSA.2017.080534.

@article{Patidar2017,
  title     = {A Novel Edge Cover based Graph Coloring Algorithm},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {5},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Harish Patidar and Dr. Prasun Chakrabarti},
  doi       = {10.14569/IJACSA.2017.080534},
  url       = {https://doi.org/10.14569/IJACSA.2017.080534}
}

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