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dc.contributor.advisorCahill, Vinny
dc.contributor.authorHarrington, Anthony Christopher
dc.date.accessioned2019-11-06T14:58:02Z
dc.date.available2019-11-06T14:58:02Z
dc.date.issued2010
dc.identifier.citationAnthony Christopher Harrington, 'Model-driven engineering of planning and optimisation algorithms for pervasive computing environments', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010, pp 286
dc.identifier.otherTHESIS 9340
dc.identifier.urihttp://hdl.handle.net/2262/90207
dc.description.abstractThis thesis addresses the development of that class of pervasive computing applications that can be modelled as real-world planning and optimisation problems. Canonical examples of such applications are the control of transportation infrastructures, activities such as region-wide pollution monitoring and emergency-service management. The formal foundations of planning and optimisation problems are well established, however applying these techniques to pervasive computing applications is still a challenging task.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb14876709
dc.subjectComputer Science, Ph.D.
dc.subjectPh.D. Trinity College Dublin.
dc.titleModel-driven engineering of planning and optimisation algorithms for pervasive computing environments
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 286
dc.description.noteTARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie


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