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
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