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Model genetic rules based systems for evaluation of projects

dc.contributor.authorSilva, Jesusspa
dc.contributor.authorEscobar Gomez, John Freddyspa
dc.contributor.authorSteffens Sanabria, Ernestospa
dc.contributor.authorhernandez Palma, Hugospa
dc.contributor.authorIkeda Tsukazan, Lucía Midorispa
dc.contributor.authorLinares Weilg, Jorge Luisspa
dc.contributor.authorMercado, Nohoraspa
dc.date.accessioned2021-01-29T19:04:02Z
dc.date.available2021-01-29T19:04:02Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/11323/7800spa
dc.description.abstractThe process of project evaluation is of vital importance for decision-making in organizations. In the particular case of IT projects, the historical average of successful projects is 30.7%, while renegotiated projects are 47.3% and cancelled projects are 22% [1]. These figures mean that huge budgets are affected every year by errors in planning or control and monitoring of projects, with an economic and social impact. The objective of this research is to evaluate the MCGEP evolutionary algorithm in different versions databases with information on the evaluation of IT projects. The aim is to determine the possibility of applying an evolutionary algorithm that uses programming of genetic expressions as opposed to others of greater use.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherCorporación Universidad de la Costaspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.sourceProcedia Computer Sciencespa
dc.subjectGenetic Algorithmsspa
dc.subjectGene Expression Programmingspa
dc.subjectMCGEP Algorithmspa
dc.subjectProject Evaluationspa
dc.subjectRules learningspa
dc.titleModel genetic rules based systems for evaluation of projectsspa
dc.typeArtículo de revistaspa
dc.source.urlhttps://www.sciencedirect.com/science/article/pii/S1877050920305068#!spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.1016/j.procs.2020.03.069spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
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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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