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dc.contributor.authorCrawford B.
dc.contributor.authorSoto R.
dc.contributor.authorAstorga G.
dc.contributor.authorOlguín E.
dc.date.accessioned2020-09-02T22:15:34Z
dc.date.available2020-09-02T22:15:34Z
dc.date.issued2016
dc.identifier10.1007/978-3-319-33625-1_45
dc.identifier.citation464, , 501-510
dc.identifier.issn21945357
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4114
dc.descriptionDue to the competitiveness of the software industry a more stressful tasks for software project managers allocation of the human resources to the different tasks that perform the project. This is not an easy task and it is necessary that is computationally supported since every day projects are larger and these should be developed in the shortest time and possible costs.We propose to use a constructive metaheuristics called IntelligentWater Drops. In this paper the result are compared with another constructive metaheuristics obtaining promising performance. © Springer International Publishing Switzerland 2016.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceSilhavy R.Senkerik R.Oplatkova Z.K.Silhavy P.Prokopova Z.
dc.subjectIntelligent Water Drops
dc.subjectProject management
dc.subjectSoftware Project Scheduling Problem
dc.subjectArtificial intelligence
dc.subjectCompetition
dc.subjectComputer software
dc.subjectDrops
dc.subjectHeuristic algorithms
dc.subjectIntelligent systems
dc.subjectOptimization
dc.subjectScheduling
dc.subjectSoftware engineering
dc.subjectAlternative solutions
dc.subjectMeta heuristics
dc.subjectSoftware industry
dc.subjectSoftware project
dc.subjectSoftware Project Scheduling
dc.subjectWater drop
dc.subjectProject management
dc.titleAn alternative solution to the software project scheduling problem
dc.typeConference Paper


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