Increasing the efficiency of graph colouring algorithms with a representation based on vector operations - Volume 1 Number 2 (Aug. 2006) - JSOFTWARE
Volume 1 Number 2 (Aug. 2006)
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JSW 2006 Vol.1(2): 24-33 ISSN: 1796-217X
doi: 10.4304/jsw.1.2.24-33

Increasing the efficiency of graph colouring algorithms with a representation based on vector operations

Istv´an Juhos1, Jano I. van Hemert2
1Department of Computer Algorithms and Artificial Intelligence, University of Szeged, Hungary
2National e-Science Institute, University of Edinburgh, United Kingdom

Abstract—We introduce a novel representation for the graph colouring problem, called the Integer Merge Model, which aims to reduce the time complexity of graph colouring algorithms. Moreover, this model provides useful information to aid in the creation of heuristics that can make the colouring process even faster. It also serves as a compact definition for the description of graph colouring algorithms. To verify the potential of the model, we use it in the complete algorithm DSATUR, and in two version of an incomplete approximation algorithm; an evolutionary algorithm and the same evolutionary algorithm extended with guiding heuristics. Both theoretical and empirical results are provided investigation is performed to show an increase in the efficiency of solving graph colouring problems. Two problem suites were used for the empirical evidence: a set of practical problem instances and a set of hard problem instances from the phase transition.

Index Terms—graph colouring, representation, node merging, colouring strategies, evolutionary algorithm, DSATUR

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Cite: Istv´an Juhos, Jano I. van Hemert, " Increasing the efficiency of graph colouring algorithms with a representation based on vector operations," Journal of Software vol. 1, no. 2, pp. 24-33, 2006.

General Information

ISSN: 1796-217X
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jsw@iap.org
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