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Multilevel graph partitioning: an evolutionary approach

Author

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  • S Küçükpetek

    (Middle East Technical University)

  • F Polat

    (Middle East Technical University)

  • H Oğuztüzün

    (Middle East Technical University)

Abstract

The graph partitioning problem is defined as that of dividing the vertices of an undirected graph into a set of balanced parts through the removal of a set of edges, whose size is to be minimized. A number of researchers have investigated multilevel schemes, which coarsen the graph by collapsing vertices and edges, partition the smaller graph, and then uncoarsen it to construct a partitioning of the original graph. In this paper, a genetic algorithm for the coarsening phase of a multilevel scheme for graph partitioning is presented. The proposed approach has been demonstrated to improve the solution quality at the expense of running time.

Suggested Citation

  • S Küçükpetek & F Polat & H Oğuztüzün, 2005. "Multilevel graph partitioning: an evolutionary approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(5), pages 549-562, May.
    • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:5:d:10.1057_palgrave.jors.2601837
    DOI: 10.1057/palgrave.jors.2601837
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    References listed on IDEAS

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    1. David S. Johnson & Cecilia R. Aragon & Lyle A. McGeoch & Catherine Schevon, 1989. "Optimization by Simulated Annealing: An Experimental Evaluation; Part I, Graph Partitioning," Operations Research, INFORMS, vol. 37(6), pages 865-892, December.
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    Cited by:

    1. A Awasthi & S S Chauhan & M Parent & Jean-Marie Proth, 2010. "Algorithms for partitioning of large routing networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(7), pages 1159-1167, July.

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