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A Novel Approach of Vertex Coloring Algorithm to Solve the K-Colorability Problem

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Social Networking and Computational Intelligence

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 100))

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Abstract

The graph theory is one among the most studied fields for research. There are several algorithms and concepts of graph theory, which is used to solve mathematical and real-world problems. Graph coloring is one of them. The graph coloring problem is a kind of NP-hard problem. Graph coloring has the capability of solving many optimization problems like air traffic management, train routes management, time table scheduling, register allocation in operating system, and many more. The vertex coloring problem can be defined if given a graph of vertices and edges; every vertex has to color in such a manner that two adjacent vertices should not have the same color, using the minimum number of colors. This paper introduced the implementation prospective of a vertex coloring algorithm based on k-colorability using recursive computation. Implemented algorithm is tested on DIMACS graph benchmarks. Result of novel method shows it has reduced execution time and improved chromatic number.

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References

  1. Gamache M, Hertz A, Ouellet JO (2007) A graph coloring model for a feasibility problem in monthly crew scheduling with preferential bidding. Comput Oper Res 34(8):2384–2395

    Article  Google Scholar 

  2. Zufferey N, Amstutz P, Giaccari P (2008) Graph colouring approaches for a satellite range scheduling problem. J Sched 11(4):151–162

    Article  MathSciNet  Google Scholar 

  3. de Werra D (1985) An introduction to timetabling. European J Oper Res 19:151–162

    Article  MathSciNet  Google Scholar 

  4. Burke EK, McCollum B, Meisels A, Petrovic S, Qu R (2007) A graph-based hyper heuristic for timetabling problems. Eur J Oper Res 176:177–192

    Article  MathSciNet  Google Scholar 

  5. de Werra D, Eisenbeis C, Lelait S, Marmol B (1999) On a graph-theoretical model for cyclic register allocation. Discr Appl Math 93(2):191–203

    Article  MathSciNet  Google Scholar 

  6. Smith DH, Hurley S, Thiel SU (1998) Improving heuristics for the frequency assignment problem. Eur J Oper Res 107(1):76–86

    Article  Google Scholar 

  7. Woo TK, Su SYW, Wolfe RN (2002) Resource allocation in a dynamically partitionable bus network using a graph coloring algorithm. IEEE Trans Commun 39:1794–1801

    Article  Google Scholar 

  8. Garey MR, Johnson DS (1979) Computers and intractability. Freeman

    Google Scholar 

  9. Malaguti E, Monaci M, Toth P (2011) An exact approach for the vertex coloring problem. Discr Optim 8(2):174–190

    Article  MathSciNet  Google Scholar 

  10. Segundo PS (2012) A new DSATUR-based algorithm for exact vertex coloring. Comput Oper Res 39:1724–1733

    Article  MathSciNet  Google Scholar 

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Correspondence to Vijay Malviya .

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Mahajani, S., Sharma, P., Malviya, V. (2020). A Novel Approach of Vertex Coloring Algorithm to Solve the K-Colorability Problem. In: Shukla, R., Agrawal, J., Sharma, S., Chaudhari, N., Shukla, K. (eds) Social Networking and Computational Intelligence. Lecture Notes in Networks and Systems, vol 100. Springer, Singapore. https://doi.org/10.1007/978-981-15-2071-6_64

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