Show simple item record

dc.contributor.authorCrawford B.
dc.contributor.authorSoto R.
dc.contributor.authorJohnson F.
dc.contributor.authorMonfroy E.
dc.date.accessioned2020-09-02T22:15:38Z
dc.date.available2020-09-02T22:15:38Z
dc.date.issued2013
dc.identifier10.1007/978-3-642-39473-7_126
dc.identifier.citation373, PART I, 635-639
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4138
dc.descriptionThis paper presents the design of an algorithm based on Ant Colony Optimization paradigm to solve the Software Project Scheduling Problem. This problem consists in deciding who does what during the software project development, finding an optimal schedule for a project so that the precedence and resource constraints are satisfied and the final project cost and its duration are minimized. We present the design of an general ant algorithm to solve it. © Springer-Verlag Berlin Heidelberg 2013.
dc.language.isoen
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


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record