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dc.contributor.authorGomez, A.
dc.contributor.authorCrawford, B.
dc.contributor.authorSoto, R.
dc.contributor.authorJaramillo, A.
dc.contributor.authorMansilla, S.
dc.contributor.authorSalas, J.
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/20.500.12805/4621
dc.description.abstractThe Set Covering Problem (SCP) is one of the most representative combinatorial optimization problems and it has multiple applications in different situations of engineering, sciences and some other disciplines. It aims to find a set of solutions that meet the needs defined in the constraints having lowest possible cost. In this paper we used an existing binary algorithm inspired by Binary Black Holes (BBH), to solve multiple instances of the problem with known benchmarks obtained from the OR-library. The presented method emulates the behavior of these celestial bodies using a rotation operator to bring good solutions.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.titleAn binary black hole algorithm to solve the set covering problemen_US
dc.typehttps://purl.org/coar/resource_type/c_5794
dc.identifier.doihttps://doi.org/10.1109/CISTI.2016.7521431
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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