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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23386
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dc.contributor.authorWoodward, Johnen_UK
dc.contributor.authorJohnson, Colinen_UK
dc.contributor.authorBrownlee, Alexanderen_UK
dc.contributor.editorFriedrich, Ten_UK
dc.date.accessioned2017-11-10T01:16:15Z-
dc.date.available2017-11-10T01:16:15Z-
dc.date.issued2016en_UK
dc.identifier.urihttp://hdl.handle.net/1893/23386-
dc.description.abstractGenetic Programming (GP) has been criticized for targeting irrelevant problems [12], and is also true of the wider machine learning community [11]. which has become detached from the source of the data it is using to drive the field forward. However, recently GI provides a fresh perspective on automated programming. In contrast to GP, GI begins with existing software, and therefore immediately has the aim of tackling real software. As evolution is the main approach to GI to manipulating programs, this connection with real software should persuade the GP community to confront the issues around what it originally set out to tackle i.e. evolving real software.en_UK
dc.language.isoenen_UK
dc.publisherACMen_UK
dc.relationWoodward J, Johnson C & Brownlee A (2016) GP vs GI: if you can't beat them, join them. In: Friedrich T (ed.) GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference, GECCO-2016, Denver, CO, USA, 20.07.2016-24.07.2016. New York: ACM, pp. 1155-1156. https://doi.org/10.1145/2908961.2931694en_UK
dc.rightsPublisher policy allows this work to be made available in this repository. Published in GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion Pages 1155-1156 by ACM. The original publication is available at: http://dl.acm.org/citation.cfm?id=2931694&CFID=823928677&CFTOKEN=80769513en_UK
dc.subjectGenetic Improvement (GI)en_UK
dc.subjectGenetic Programming (GP)en_UK
dc.titleGP vs GI: if you can't beat them, join themen_UK
dc.typeConference Paperen_UK
dc.identifier.doi10.1145/2908961.2931694en_UK
dc.citation.spage1155en_UK
dc.citation.epage1156en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.author.emailab90@cs.stir.ac.uken_UK
dc.citation.btitleGECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companionen_UK
dc.citation.conferencedates2016-07-20 - 2016-07-24en_UK
dc.citation.conferencelocationDenver, CO, USAen_UK
dc.citation.conferencenameGenetic and Evolutionary Computation Conference, GECCO-2016en_UK
dc.citation.date31/07/2016en_UK
dc.citation.isbn978-1-4503-4323-7en_UK
dc.publisher.addressNew Yorken_UK
dc.contributor.affiliationComputing Science and Mathematics - Divisionen_UK
dc.contributor.affiliationUniversity of Kenten_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isiWOS:000383741800158en_UK
dc.identifier.scopusid2-s2.0-84986260156en_UK
dc.identifier.wtid564486en_UK
dc.contributor.orcid0000-0002-2093-8990en_UK
dc.contributor.orcid0000-0003-2892-5059en_UK
dc.date.accepted2016-05-05en_UK
dcterms.dateAccepted2016-05-05en_UK
dc.date.filedepositdate2016-06-21en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionAMen_UK
local.rioxx.authorWoodward, John|0000-0002-2093-8990en_UK
local.rioxx.authorJohnson, Colin|en_UK
local.rioxx.authorBrownlee, Alexander|0000-0003-2892-5059en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorFriedrich, T|en_UK
local.rioxx.freetoreaddate2016-07-31en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2016-07-31en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2016-07-31|en_UK
local.rioxx.filenamegpVSgi05.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-1-4503-4323-7en_UK
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