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Heuristic Algorithms for the L(2,1)-Labeling Problem

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6466))

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Abstract

An L(2, 1)-labeling of a graph G is an assignment f from the vertex set V(G) to the set of nonnegative integers such that |f(x) − f(y)| ≥ 2 if x and y are adjacent and |f(x) − f(y)| ≥ 1 if x and y are at distance two for all x and y in V(G). The span of an L(2,1)-labeling f is the maximum value of f(x) over all vertices x of G. The L(2,1)-labeling number of a graph G, denoted as λ(G), is the least integer k such that G has an L(2,1)-labeling with span k.

Since the decision version of the L(2,1)-labeling problem is NP-complete, it is important to investigate heuristic approaches. In this paper, we first implement some heuristic algorithms and then perform an analysis of the obtained results.

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Panda, B.S., Goel, P. (2010). Heuristic Algorithms for the L(2,1)-Labeling Problem. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2010. Lecture Notes in Computer Science, vol 6466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17563-3_26

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  • DOI: https://doi.org/10.1007/978-3-642-17563-3_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17562-6

  • Online ISBN: 978-3-642-17563-3

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