A black hole algorithm for solving the set covering problem

dc.contributor.authorSoto, R.es_ES
dc.contributor.authorCrawford, B.es_ES
dc.contributor.authorFigueroa, I.es_ES
dc.contributor.authorNiklander, S.es_ES
dc.contributor.authorOlguín, E.es_ES
dc.date.accessioned6/22/2022 14:20
dc.date.accessioned2022-06-22T19:51:06Z
dc.date.available6/22/2022 14:20
dc.date.available2022-06-22T19:51:06Z
dc.date.issued2016
dc.description.abstractThe set covering problem is a classical optimization benchmark with many industrial applications such as production planning, assembly line balancing, and crew scheduling among several others. In this work, we solve such a problem by employing a recent nature-inspired metaheuristic based on the black hole phenomena. The core of such a metaheuristic is enhanced with the incorporation of transfer functions and discretization methods to handle the binary nature of the problem. We illustrate encouraging experimental results, where the proposed approach is capable to reach various global optimums for a well-known instance set from the Beasley’s OR-Library. © Springer International Publishing Switzerland 2016.es_ES
dc.formatapplication/pdfes_ES
dc.identifier.doi10.1007/978-3-319-42007-3_72es_ES
dc.identifier.urihttps://doi.org/10.1007/978-3-319-42007-3_72
dc.language.isoen_USes_ES
dc.publisherSpringer Verlages_ES
dc.publisher.countryDEes_ES
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)es_ES
dc.rightsinfo:eu-repo/semantics/closedAccesses_ES
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)es_ES
dc.subjectComputer Sciencees_ES
dc.subjectMathematicses_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#2.02.04es_ES
dc.titleA black hole algorithm for solving the set covering problemes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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