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An artificial bee colony algorithm for the resource contrained project scheduling problem

dc.contributor.authorCrawford B.
dc.contributor.authorSoto R.
dc.contributor.authorJohnson F.
dc.contributor.authorNorero E.
dc.contributor.authorOlguín E.
dc.date.accessioned2020-09-02T22:15:39Z
dc.date.available2020-09-02T22:15:39Z
dc.date.issued2015
dc.identifier10.1007/978-3-319-21380-4_99
dc.identifier.citation528, , 582-586
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4142
dc.descriptionWe present an approach to solve the Resource Constrained Project Scheduling Problem. This problem consists on executing a group of activities limited by constraints. Precedence relationships force to some activities to begin after the finalization of others. In addition, processing every activity requires a predefined amount of limited resources. The target of this problem is to minimize the duration of whole project. In this paper, an approach based on Artificial Bee Colony algorithm for the Resource Constrained Project Scheduling Problem is presented. That algorithm is one of the most recent algorithms in the domain of the collective intelligence who was motivated by the intelligent behavior observed in the domestic bees to take the process of forage. Thus, ABC combines methods of local search and global search, trying to balance the process of the exploration and exploitation of the space of search. © Springer International Publishing Switzerland 2015.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceStephanidis C.
dc.subjectArtificial bee colony
dc.subjectMetaheuristic
dc.subjectProject scheduling
dc.subjectAlgorithms
dc.subjectHuman computer interaction
dc.subjectOptimization
dc.subjectScheduling
dc.subjectArtificial bee colonies
dc.subjectArtificial bee colony algorithms
dc.subjectCollective intelligences
dc.subjectExploration and exploitation
dc.subjectMetaheuristic
dc.subjectProject scheduling
dc.subjectProject scheduling problem
dc.subjectResource-constrained project scheduling problem
dc.subjectEvolutionary algorithms
dc.titleAn artificial bee colony algorithm for the resource contrained project scheduling problem
dc.typeConference Paper


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