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dc.contributor.authorPinacho Davidson P.en_US
dc.contributor.authorBlum C.en_US
dc.contributor.authorLozano J.A.en_US
dc.date.accessioned2017-08-30T14:23:21Z
dc.date.available2017-08-30T14:23:21Z
dc.date.issued2017-08-30
dc.identifier.issn0377-2217
dc.identifier.urihttp://hdl.handle.net/20.500.11824/727
dc.description.abstractThis work deals with the so-called weighted independent domination problem, which is an $NP$-hard combinatorial optimization problem in graphs. In contrast to previous work, this paper considers the problem from a non-theoretical perspective. The first contribution consists in the development of three integer linear programming models. Second, two greedy heuristics are proposed. Finally, the last contribution is a population-based iterated greedy metaheuristic which is applied in two different ways: (1) the metaheuristic is applied directly to each problem instance, and (2) the metaheuristic is applied at each iteration of a higher-level framework---known as construct, merge, solve \& adapt---to sub-instances of the tackled problem instances. The results of the considered algorithmic approaches show that integer linear programming approaches can only compete with the developed metaheuristics in the context of graphs with up to 100 nodes. When larger graphs are concerned, the application of the populated-based iterated greedy algorithm within the higher-level framework works generally best. The experimental evaluation considers graphs of different types, sizes, densities, and ways of generating the node and edge weights.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.publisherEuropean Journal of Operational Researchen_US
dc.relationES/1PE/SEV-2013-0323en_US
dc.relationEUS/BERC/BERC.2014-2017en_US
dc.relationEUS/ELKARTEKen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.titleThe Weighted Independent Domination Problem: ILP Model and Algorithmic Approachesen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeinfo:eu-repo/semantics/acceptedVersionen_US


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