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dc.creatorAkcay, Cemil
dc.creatorIşikyildiz, Setenay
dc.date2020-12-25
dc.identifierhttps://revistadelaconstruccion.uc.cl/index.php/RDLC/article/view/rdlc.19.3.335
dc.identifier10.7764/rdlc.19.3.335-346
dc.descriptionIn this study, it was aimed to develop a model that provides Time-Cost-Quality optimization in construction projects using Genetic algorithm method. In order to fulfill that, Matlab codes for a multi-purpose genetic algorithm that performs Time-Cost-Quality optimization were developed and applied to the problem, and the targeted success level was substantially achieved. This model is capable of performing and visualizing an advanced three-dimensional time, cost, quality tradeoff analysis instead of the traditional two-dimensional time-cost tradeoff analysis. It was possible to select the desired alternative under the project conditions obtaining pareto images called a set of solutions rather than a single solution. In addition, one of the main objectives of this study is to develop an effective model to assist the main contractors of the construction in selecting the most suitable subcontractors.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherEscuela de Construcción Civil de la Pontificia Universidad Católica de Chileen-US
dc.relationhttps://revistadelaconstruccion.uc.cl/index.php/RDLC/article/view/rdlc.19.3.335/21499
dc.rightsCopyright (c) 2020 Cemil Akcay, Setenay Işikyildizen-US
dc.sourceRevista de la Construcción. Journal of Construction; Vol. 19 No. 3 (2020): Revista de la Construcción. Journal of Construction; 335-346en-US
dc.source0718-915X
dc.subjectTime-cost-quality trade-offen-US
dc.subjectMulti-objective optimizationen-US
dc.subjectMeta-heuristicen-US
dc.subjectGenetic algorithmen-US
dc.subjectSubcontractor selectionen-US
dc.titleMulti-objective optimization of time-cost-quality in construction projects using genetic algorithmen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeresarchearticleen-US


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