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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/1527
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dc.contributor.authorGodley, Paul Michaelen_UK
dc.contributor.authorCairns, Daviden_UK
dc.contributor.authorCowie, Julieen_UK
dc.contributor.authorMcCall, Johnen_UK
dc.contributor.authorSwingler, Kevinen_UK
dc.contributor.editorKeijzer, Maartenen_UK
dc.date.accessioned2017-06-28T23:37:29Z-
dc.date.available2017-06-28T23:37:29Z-
dc.date.issued2008en_UK
dc.identifier.urihttp://hdl.handle.net/1893/1527-
dc.description.abstractThis paper discusses the effects of mutation and directed intervention crossover approaches when applied to the derivation of cancer chemotherapy treatment schedules. Unlike traditional Uniform Crossover (UC), the directed intervention techniques actively choose the intervention level based on the fitness of the parents selected for crossover. This work describes how directed intervention crossover principles are more robust to mutation and lead to significant improvement over UC when applied to cancer chemotherapy treatment scheduling.en_UK
dc.language.isoenen_UK
dc.publisherAssociation for Computing Machinery (ACM)en_UK
dc.relationGodley PM, Cairns D, Cowie J, McCall J & Swingler K (2008) The Effects of Mutation and Directed Intervention Crossover When Applied to Scheduling Chemotherapy. In: Keijzer M (ed.) Proceedings of the 10th annual conference on Genetic and evolutionary computation (GECCO) ACM Genetic and Evolutionary Computation Conference (GECCO) 2008, Atlanta, Georgia, 12.07.2008-16.07.2008. New York, USA: Association for Computing Machinery (ACM), pp. 1105-1106. http://portal.acm.org/toc.cfm?id=1389095&type=proceeding&coll=GUIDE&dl=GUIDE&CFID=47644191&CFTOKEN=12932833; https://doi.org/10.1145/1389095.1389300en_UK
dc.relation.urihttp://www.sigevo.org/gecco-2008/en_UK
dc.rightsCopyright ACM; The publisher does not allow this work to be made publicly available in this Repository; therefore, this item has been embargoed. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectOptimal Controlen_UK
dc.subjectChemotherapyen_UK
dc.subjectCrossoveren_UK
dc.subjectGenetic Algorithmsen_UK
dc.subjectGenetics Mathematical modelsen_UK
dc.subjectControl theoryen_UK
dc.subjectGenetics Computer simulationen_UK
dc.titleThe Effects of Mutation and Directed Intervention Crossover When Applied to Scheduling Chemotherapyen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate3000-12-01en_UK
dc.rights.embargoreason[t11pap386-godley.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work; this item has been embargoed. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.identifier.doi10.1145/1389095.1389300en_UK
dc.citation.spage1105en_UK
dc.citation.epage1106en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.identifier.urlhttp://portal.acm.org/toc.cfm?id=1389095&type=proceeding&coll=GUIDE&dl=GUIDE&CFID=47644191&CFTOKEN=12932833en_UK
dc.author.emaildec@cs.stir.ac.uken_UK
dc.citation.btitleProceedings of the 10th annual conference on Genetic and evolutionary computation (GECCO)en_UK
dc.citation.conferencedates2008-07-12 - 2008-07-16en_UK
dc.citation.conferencelocationAtlanta, Georgiaen_UK
dc.citation.conferencenameACM Genetic and Evolutionary Computation Conference (GECCO) 2008en_UK
dc.citation.isbn978-1-60558-130-9en_UK
dc.publisher.addressNew York, USAen_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationComputing Science and Mathematics - Divisionen_UK
dc.contributor.affiliationRobert Gordon Universityen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.scopusid2-s2.0-57349097626en_UK
dc.identifier.wtid830825en_UK
dc.contributor.orcid0000-0002-0246-3821en_UK
dc.contributor.orcid0000-0002-4653-1283en_UK
dc.contributor.orcid0000-0002-4517-9433en_UK
dcterms.dateAccepted2008-12-31en_UK
dc.date.filedepositdate2009-08-05en_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorGodley, Paul Michael|en_UK
local.rioxx.authorCairns, David|0000-0002-0246-3821en_UK
local.rioxx.authorCowie, Julie|0000-0002-4653-1283en_UK
local.rioxx.authorMcCall, John|en_UK
local.rioxx.authorSwingler, Kevin|0000-0002-4517-9433en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorKeijzer, Maarten|en_UK
local.rioxx.freetoreaddate3000-12-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenamet11pap386-godley.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-1-60558-130-9en_UK
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