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dc.contributor.authorCrawford B.
dc.contributor.authorSoto R.
dc.contributor.authorJohnson F.
dc.contributor.authorMonfroy E.
dc.contributor.authorParedes F.
dc.date.accessioned2020-09-02T22:15:39Z
dc.date.available2020-09-02T22:15:39Z
dc.date.issued2014
dc.identifier10.1007/978-3-319-06740-7_4
dc.identifier.citation285, , 41-51
dc.identifier.issn21945357
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4141
dc.descriptionThis paper presents a new approach to solve the Software Project Scheduling Problem. This problem is NP-hard and consists in finding a workertask schedule that minimizes cost and duration for the whole project, so that task precedence and resource constraints are satisfied. Such a problem is solved with an Ant Colony Optimization algorithm by using the Max–Min Ant System and the Hyper-Cube framework. We illustrate experimental results and compare with other techniques demonstrating the feasibility and robustness of the approach, while reaching competitive solutions. © Springer International Publishing Switzerland 2014.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceSilhavy R.Senkerik R.Oplatkova Z.K.Silhavy P.Prokopova Z.
dc.subjectAnt colony optimization
dc.subjectMax–Min ant system
dc.subjectProject management
dc.subjectSoftware engineering
dc.subjectSoftware project scheduling problem
dc.subjectAlgorithms
dc.subjectAnt colony optimization
dc.subjectArtificial intelligence
dc.subjectComputer software
dc.subjectOptimization
dc.subjectProject management
dc.subjectSocial networking (online)
dc.subjectSoftware engineering
dc.subjectAnt Colony Optimization algorithms
dc.subjectAnt systems
dc.subjectHyper-cubes
dc.subjectNew approaches
dc.subjectNP-hard
dc.subjectResource Constraint
dc.subjectSoftware Project Scheduling
dc.subjectScheduling
dc.titleA new approach to solve the software project scheduling problem based on max–min ant system
dc.typeConference Paper


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