• DocumentCode
    3267539
  • Title

    Resolution of the general T-coloring problem using an MBO based algorithm

  • Author

    Leila, Nouioua ; Malika, Bessedik

  • fYear
    2011
  • fDate
    18-20 Aug. 2011
  • Firstpage
    438
  • Lastpage
    443
  • Abstract
    A generalization of the classical graph coloring model is studied in this paper. The problem we are interested in is the T-coloring problem related in the literature. It consists on coloring the vertices of a graph in such a way that the two colors assigned to two adjacent vertices i and j does not appear in Tij, where Tij is a set of positive integers associated to the edge [i,j]. The T-Coloring problem is to find the minimum length of the spectrum of colors used. Honey-bees are among the most closely studied social insects. Honey bee mating may also be considered as a typical swarm-based approach to optimization, in which the search algorithm (Marriage Bees Optimization: MBO) is inspired by the process of marriage in real bees´ colonies. In this paper, an MBO algorithm is presented for three coloring problems: graph coloring, Restricted T-colorings and general T-colorings. Several experiments are performed in order to study the efficiency of the proposed algorithm. The results are compared with optimal colorings obtained by well-known methods on well-known benchmarks for each problem. Results show encouraging results.
  • Keywords
    graph colouring; particle swarm optimisation; search problems; MBO based algorithm; classical graph coloring model generalization; general T-coloring problem; graph coloring; marriage bee optimization; positive integers; restricted T-coloring; search algorithm; swarm based optimization; Annealing; Benchmark testing; Marriage Bees Optimization (MBO); Span; T-coloring; Tabu search; meta-heuristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics & Cognitive Computing (ICCI*CC ), 2011 10th IEEE International Conference on
  • Conference_Location
    Banff, AB
  • Print_ISBN
    978-1-4577-1695-9
  • Type

    conf

  • DOI
    10.1109/COGINF.2011.6016178
  • Filename
    6016178