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The set covering problem solved by the binary teaching-learning-based optimization algorithm

dc.contributor.authorCrawford, B.
dc.contributor.authorSoto, R.
dc.contributor.authorLeiva, F.A.
dc.contributor.authorJohnson, F.
dc.contributor.authorParedes, F.
dc.date.accessioned2025-10-31T18:32:20Z
dc.date.available2025-10-31T18:32:20Z
dc.date.issued2015
dc.identifier.urihttps://hdl.handle.net/20.500.12805/4597
dc.description.abstractThe Set Covering Problem (SCP) is a representation of a kind of combinatorial optimization problem which has been applied in several problems in the real world. In this work is used the binary version of Teaching-Learning-Based Optimization algorithm (TLBO), which works with two phases known as teacher and learner phases in this way emulates the behaviour into a classroom, besides this problem is solved with eight different transfer functions and five discretization methods all of them altogether to solve The Set Covering Problem from the OR-Library.en_US
dc.formatapplication/pdf
dc.language.isospa
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofurn:isbn:978-9899-84-345-5
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.titleThe set covering problem solved by the binary teaching-learning-based optimization algorithmen_US
dc.typehttps://purl.org/coar/resource_type/c_5794
dc.identifier.doihttps://doi.org/10.1109/CISTI.2015.7170401
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.01
dc.type.otherConference Paper
dc.identifier.journal2015 10th Iberian Conference on Information Systems and Technologies, CISTI 2015
dc.type.versionhttps://purl.org/coar/version/c_970fb48d4fbd8a85


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