Cat swarm optimization with different binarization methods for solving set covering problems

dc.contributor.authorCrawford, B.es_ES
dc.contributor.authorSoto, R.es_ES
dc.contributor.authorBerrios N.es_ES
dc.contributor.authorOlguín, E.es_ES
dc.date.accessioned6/22/2022 14:20
dc.date.accessioned2022-06-22T20:03:33Z
dc.date.available6/22/2022 14:20
dc.date.available2022-06-22T20:03:33Z
dc.date.issued2016
dc.description.abstractIn this paper, we present a Binary cat swarm optimization for solving the Set covering problem. The Set covering problem is a well-known NP-hard problem with many practical applications, including those involving scheduling, production planning and location problems. Binary cat swarm optimization is a recent swarm metaheuristic technique based on the behaviour of discrete cats. Domestic cats show the ability to hunt and are curious about moving objects. The cats have two modes of behavior: seeking mode and tracing mode. Moreover, eight different transfer functions and five discretization techniques are considered for solving the binary problem. We illustrate this approach with 65 instances of the problem and select the best transfer function and discretization technique to solve this problem. © Springer International Publishing Switzerland 2016.es_ES
dc.formatapplication/pdfes_ES
dc.identifier.doi10.1007/978-3-319-33625-1_46es_ES
dc.identifier.urihttps://doi.org/10.1007/978-3-319-33625-1_46
dc.language.isoen_USes_ES
dc.publisherSpringer Verlages_ES
dc.publisher.countryDEes_ES
dc.relation.ispartofAdvances in Intelligent Systems and Computinges_ES
dc.rightsinfo:eu-repo/semantics/closedAccesses_ES
dc.sourceAdvances in Intelligent Systems and Computinges_ES
dc.subjectComputer Sciencees_ES
dc.subjectEngineeringes_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#2.02.04es_ES
dc.titleCat swarm optimization with different binarization methods for solving set covering problemses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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