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A timetabling applied case solved with ant colony optimization

dc.contributor.authorCrawford B.
dc.contributor.authorSoto R.
dc.contributor.authorJohnson F.
dc.contributor.authorParedes F.
dc.date.accessioned2020-09-02T22:15:39Z
dc.date.available2020-09-02T22:15:39Z
dc.date.issued2015
dc.identifier10.1007/978-3-319-18476-0_27
dc.identifier.citation347, , 267-276
dc.identifier.issn21945357
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4143
dc.descriptionThis research present an applied case of the resolution of a timetabling problem called the University course Timetabling problem (UCTP), the resolution technique used is based in Ant Colony Optimization metaheuristic. Ant Colony Optimization is a Swarm Intelligence technique which inspired from the foraging behavior of real ant colonies. We propose a framework to solve the University course Timetabling problem effectively. We show the problem and the resolution design using this framework. First we tested our proposal with some competition instances, and then compare our results with other techniques. The results show that our proposal is feasible and competitive with other techniques. To evaluate this framework in practice way, we build a real instance using the case of the school of Computer Science Engineering of the Pontifical Catholic University of Valparaíso and the Department of Computer Engineering at Playa Ancha University. © Springer International Publishing Switzerland 2015.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceSilhavy R.Senkerik R.Oplatkova Z.K.Prokopova Z.Silhavy P.
dc.subjectAnt Colony Optimization
dc.subjectSwarm Intelligence
dc.subjectUniversity Course Timetabling Problem
dc.subjectAlgorithms
dc.subjectArtificial intelligence
dc.subjectOptimization
dc.subjectScheduling
dc.subjectSocial networking (online)
dc.subjectComputer engineering
dc.subjectComputer science engineerings
dc.subjectForaging behaviors
dc.subjectResolution techniques
dc.subjectSwarm Intelligence
dc.subjectSwarm intelligence techniques
dc.subjectTimetabling problem
dc.subjectUniversity course timetabling-problems
dc.subjectAnt colony optimization
dc.titleA timetabling applied case solved with ant colony optimization
dc.typeConference Paper


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