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dc.contributor.authorNiebles Atencio, Fabricio Andresspa
dc.contributor.authorBustacara Prasca, Alexanderspa
dc.contributor.authorNeira Rodado, Dioniciospa
dc.contributor.authorMendoza Casseres, Danielspa
dc.contributor.authorRojas Santiago, Miguelspa
dc.date.accessioned2018-11-19T20:00:20Z
dc.date.available2018-11-19T20:00:20Z
dc.date.issued2016
dc.identifier.issn03029743spa
dc.identifier.urihttp://hdl.handle.net/11323/1321spa
dc.description.abstractThis paper considers the problem of scheduling a given set of samples in a mineral laboratory, located in Barranquilla Colombia. Taking into account the natural complexity of the process and the large amount of variables involved, this problem is considered as NP-hard in strong sense. Therefore, it is possible to find an optimal solution in a reasonable computational time only for small instances, which in general, does not reflect the industrial reality. For that reason, it is proposed the use of metaheuristics as an alternative approach in this problem with the aim to determine, with a low computational effort, the best assignation of the analysis in order to minimize the makespan and weighted total tardiness simultaneously. These optimization objectives will allow this labora-tory to improve their productivity and the customer service, respectively. A Ant Colony Optimization algorithm (ACO) is proposed. Computational experiments are carried out comparing the proposed approach versus exact methods. Results show the efficiency of our ACO algorithm.spa
dc.language.isoeng
dc.publisherLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)spa
dc.rightsAtribución – No comercial – Compartir igualspa
dc.subjectAnt colony optimizationeng
dc.subjectMulti-objective optimizationeng
dc.subjectSchedulingeng
dc.titleA comparative approach of ant colony system and mathematical programming for task scheduling in a mineral analysis laboratoryeng
dc.typeArtículo de revistaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doiDOI: 10.1007/978-3-319-41000-5_41spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


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