Hybrid constructive heuristics for the critical node problem

Bernardetta Addis (), Roberto Aringhieri (), Andrea Grosso () and Pierre Hosteins ()
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Bernardetta Addis: Université de Lorraine, INRIA Nancy Grand Est
Roberto Aringhieri: Università degli Studi di Torino
Andrea Grosso: Università degli Studi di Torino
Pierre Hosteins: Università degli Studi di Torino

Annals of Operations Research, 2016, vol. 238, issue 1, No 27, 637-649

Abstract: Abstract We consider the Critical Node Problem: given an undirected graph and an integer number K, at most K nodes have to be deleted from the graph in order to minimize a connectivity measure in the residual graph. We combine the basic steps used in common greedy algorithms with some flavour of local search, in order to obtain simple hybrid heuristic algorithms. The obtained algorithms are shown to be effective, delivering improved performances (solution quality and speed) with respect to known greedy algorithms and other more sophisticated state of the art methods.

Keywords: Critical node problem; Graph fragmentation; Hybrid heuristics (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s10479-016-2110-y

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