dc.creatorCrawford B.
dc.creatorSoto R.
dc.creatorJohnson F.
dc.creatorMonfroy E.
dc.creatorParedes F.
dc.date.accessioned2020-09-02T22:15:39Z
dc.date.accessioned2022-11-08T20:26:01Z
dc.date.available2020-09-02T22:15:39Z
dc.date.available2022-11-08T20:26:01Z
dc.date.created2020-09-02T22:15:39Z
dc.date.issued2014
dc.identifier285, , 41-51
dc.identifier21945357
dc.identifierhttps://hdl.handle.net/20.500.12728/4141
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5145908
dc.languageen
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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