dc.creatorCrawford B.
dc.creatorSoto R.
dc.creatorJohnson F.
dc.creatorMonfroy E.
dc.date.accessioned2020-09-02T22:15:38Z
dc.date.accessioned2022-11-08T20:23:03Z
dc.date.available2020-09-02T22:15:38Z
dc.date.available2022-11-08T20:23:03Z
dc.date.created2020-09-02T22:15:38Z
dc.date.issued2013
dc.identifier373, PART I, 635-639
dc.identifier18650929
dc.identifierhttps://hdl.handle.net/20.500.12728/4138
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5144675
dc.languageen
dc.publisherSpringer Verlag
dc.subjectAnt colony optimization
dc.subjectProject management
dc.subjectSoftware engineering
dc.subjectSoftware project scheduling problem
dc.subjectAnt colony optimization
dc.subjectArtificial intelligence
dc.subjectProject management
dc.subjectScheduling
dc.subjectSoftware engineering
dc.subjectAnt algorithms
dc.subjectOptimal schedule
dc.subjectProject cost
dc.subjectResource Constraint
dc.subjectSoftware project
dc.subjectSoftware Project Scheduling
dc.subjectAlgorithms
dc.titleAnts can schedule software projects
dc.typeConference Paper


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