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Evolutionary algorithms using cluster patterns for timetabling

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dc.contributor.authorSharma, Nandita
dc.contributor.authorGedeon, Tamas (Tom)
dc.contributor.authorMendis, B Sumudu
dc.date.accessioned2015-12-13T22:29:15Z
dc.date.issued2013
dc.date.updated2016-02-24T09:22:51Z
dc.description.abstractThe examination timetabling problem (ETP) is a NP complete, combinatorial optimization problem. Intuitively, use of properties such as patterns or clusters in the data suggests possible improvements in the performance and quality of timetabling. This pape
dc.identifier.issn1872-4981
dc.identifier.urihttp://hdl.handle.net/1885/74605
dc.publisherIOS Press
dc.sourceIntelligent Decision Technologies
dc.subjectKeywords: Australian National University; clusters; Combinatorial optimization problems; constraints; Data patterns; Examination timetabling; Statistical significance; Timetabling; Genetic algorithms; Population statistics; Scheduling clusters; constraints; data patterns; genetic algorithms; Timetabling
dc.titleEvolutionary algorithms using cluster patterns for timetabling
dc.typeJournal article
local.bibliographicCitation.issue2
local.bibliographicCitation.lastpage150
local.bibliographicCitation.startpage137
local.contributor.affiliationSharma, Nandita, College of Engineering and Computer Science, ANU
local.contributor.affiliationGedeon, Tamas (Tom), College of Engineering and Computer Science, ANU
local.contributor.affiliationMendis, B Sumudu, College of Engineering and Computer Science, ANU
local.contributor.authoruidSharma, Nandita, u4306724
local.contributor.authoruidGedeon, Tamas (Tom), u4088783
local.contributor.authoruidMendis, B Sumudu, u4135721
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080201 - Analysis of Algorithms and Complexity
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationf5625xPUB4205
local.identifier.citationvolume7
local.identifier.doi10.3233/IDT-130157
local.identifier.scopusID2-s2.0-84880202575
local.type.statusPublished Version

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