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Genetski algoritmi za rasporedivanje rukovatelja gradevinskih strojeva

dc.creatorMilajić, A.
dc.creatorBeljaković, D.
dc.creatorPetronijević, Predrag
dc.date.accessioned2019-04-19T14:16:51Z
dc.date.available2019-04-19T14:16:51Z
dc.date.issued2011
dc.identifier.issn0350-2465
dc.identifier.urihttps://grafar.grf.bg.ac.rs/handle/123456789/373
dc.description.abstractThe authors describe the methodology for using genetic algorithms in solving problems of optimum assignment of tasks to construction machinery operators, aimed at achieving maximum efficiency. A special emphasis is placed on the influence of human factor (operator competence) on the efficiency of the system. The methodology for creating a genetic algorithm is described, and its use in practical problem solving is presented. The achieved results, and their sensitivity to the number of variables, is discussed.en
dc.publisherCroatian Association of Civil Engineers
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceGrađevinar
dc.subjectAssignmenten
dc.subjectConstruction machineen
dc.subjectEfficiencyen
dc.subjectGenetic algorithmen
dc.subjectOperatoren
dc.subjectWork tasksen
dc.titleGenetic algorithms for assigning tasks to construction machine operatorsen
dc.titleGenetski algoritmi za rasporedivanje rukovatelja gradevinskih strojevaSR
dc.typearticle
dc.rights.licenseBY
dc.citation.epage755
dc.citation.issue8
dc.citation.other63(8): 749-755
dc.citation.rankM23
dc.citation.spage749
dc.citation.volume63
dc.identifier.fulltexthttps://grafar.grf.bg.ac.rs//bitstream/id/3818/371.pdf
dc.identifier.rcubconv_2241
dc.identifier.scopus2-s2.0-80053655324
dc.type.versionpublishedVersion


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