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dc.contributor.authorSoto, R.
dc.contributor.authorCrawford, B.
dc.contributor.authorFigueroa, I.
dc.contributor.authorOlivares, R.
dc.contributor.authorOlguin, E.
dc.date.accessioned2025-10-31T18:32:23Z
dc.date.available2025-10-31T18:32:23Z
dc.date.issued2016
dc.identifier.urihttps://hdl.handle.net/20.500.12805/4620
dc.description.abstractThe Set Covering Problem is a classical problem in combinatorial optimization that belongs to the Karp's 21 NP-hard problems, with many practical applications. In this paper, an approach based on Black Hole Algorithm is proposed to solve this problem. The black hole algorithm is a metaheuristic that is inspired by nature, especially by the black hole phenomenon in space. To improve the performance of metaheuristics are used repairing operator, which those solutions that violate the constraints, preprocessing accelerate the resolution of the problem, and transfer function and discretization function to adapts the solutions to a binary domains. We report interesting and competitive experimental results on a set of 45 instances preprocessed the Set Covering Problem.en_US
dc.formatapplication/pdf
dc.language.isospa
dc.publisherIEEE Computer Society
dc.relation.ispartofurn:issn:2166-0735
dc.rightshttps://purl.org/coar/access_right/c_abf2
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectOptimized Logistics and Vehicle Routing Solutionsen_US
dc.subjectInnovative Algorithms for Set Covering Optimizationen_US
dc.titleEl Problema de Cobertura de Conjuntos solucionado por el Algoritmo del Agujero Negroes_PE
dc.typehttps://purl.org/coar/resource_type/c_5794
dc.identifier.doihttps://doi.org/10.1109/CISTI.2016.7521538
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.01
dc.type.otherConference Paper
dc.identifier.journalIberian Conference on Information Systems and Technologies, CISTI
dc.type.versionhttps://purl.org/coar/version/c_970fb48d4fbd8a85


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