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Solving L(2,1)-labeling Problem of Graphs using Genetic Algorithms

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초록

L(2,1)-labeling of a graph G is a function f: V(G) → {0, 1, 2, ...} such that |f(u) – f(v)| ≥ 2 when d(u, v) = 1 and |f(u) – f(v)| ≥ 1 when d(u, v) = 2. L(2,1)-labeling number of G, denoted by λ(G), is the smallest number m such that G has an L(2,1)-labeling with no label greater than m. Since this problem has been proved to be NP-complete, in this article, we develop genetic algorithms for L(2,1)-labeling problem and show that the suggested genetic algorithm peforms very efficiently by applying the algorithms to the class of graphs with known optimum values.

Abstract

L(2,1)-labeling of a graph G is a function f: V(G) → {0, 1, 2, ...} such that |f(u) – f(v)| ≥ 2 when d(u, v) = 1 and |f(u) – f(v)| ≥ 1 when d(u, v) = 2. L(2,1)-labeling number of G, denoted by λ(G), is the smallest number m such that G has an L(2,1)-labeling with no label greater than m. Since this problem has been proved to be NP-complete, in this article, we develop genetic algorithms for L(2,1)-labeling problem and show that the suggested genetic algorithm peforms very efficiently by applying the algorithms to the class of graphs with known optimum values.

참고문헌 (9)

  1. D. Goncalves, "On the L(p, 1)-labelling of graphs, Discrete Math. and Theor. Comp. Science AE", Discrete Math. and Theor. Comp. Science AE, 81~86 (2005)
  2. F. S. Roberts, "Working group agenda of DIMACS", DIMATIA, pp.2003, ~
  3. Gerard J. Change, "Changhong Lu, Distance-two labelings of graphs", Journal of Combinatorics, 24, pp.53~58 (2003)
  4. Hans L. Bodlaender, "Approximations for λ-coloring of graphs", The Computer Journal, 47, pp.193~204 (2004)
  5. Holland, J, "Adaptation in Natural and Artificial Systems", University of Michigan Press
  6. J. R. Griggs, "Labelling graphs with a condition at distance two", SIAM J. Discrete Math, 5, pp.586~595 (1992)
  7. Oliver, I. M, "A study of permutation crossover operators on the TSP", In Genetic Algorithms and Their Applications: Proceedings of the Second International Conference, pp.224~230
  8. Pedro Larranaga, "Decomposing Bayesian networks: triangulation of the moral graph with genetic algorithms", Statistics and Computing, 7, pp.19~34 (1997)
  9. Zbigniew Michalewicz, "Genetic Algorithms + Data Structures=Evolution Programs, Springer-Verlag, Berlin", ~ (1992)

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