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A two-level genetic algorithm for the multi-mode resource-constrained project scheduling problem

dc.contributor.authorMagalhães-Mendes, J.
dc.date.accessioned2014-04-01T15:32:02Z
dc.date.available2014-04-01T15:32:02Z
dc.date.issued2011
dc.description.abstractThis paper presents a genetic algorithm for the multimode resource-constrained project scheduling problem (MRCPSP), in which multiple execution modes are available for each of the activities of the project. The objective function is the minimization of the construction project completion time. To solve the problem, is applied a two-level genetic algorithm, which makes use of two separate levels and extend the parameterized schedule generation scheme by introducing an improvement procedure. It is evaluated the quality of the schedule and present detailed comparative computational results for the MRCPSP, which reveal that this approach is a competitive algorithm.por
dc.identifier.doi10400.22/4298
dc.identifier.issn2074-1308
dc.identifier.urihttp://hdl.handle.net/10400.22/4298
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherUniversity Presspor
dc.relation.ispartofseriesInternational Journal of Systems Applications, Engineering & Development; Vol. 5, Issue 3
dc.relation.publisherversionhttp://www.universitypress.org.uk/journals/saed/19-861.pdfpor
dc.subjectConstruction managementpor
dc.subjectProject schedulingpor
dc.subjectMulti-mode RCPSPpor
dc.subjectResource constraintspor
dc.subjectGenetic algorithmspor
dc.titleA two-level genetic algorithm for the multi-mode resource-constrained project scheduling problempor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage278por
oaire.citation.startPage271por
oaire.citation.volume5por
rcaap.rightsopenAccesspor
rcaap.typearticlepor

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