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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/136199
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dc.contributor.authorNeumann, A.-
dc.contributor.authorNeumann, F.-
dc.contributor.editorAguirre, H.E.-
dc.contributor.editorTakadama, K.-
dc.date.issued2018-
dc.identifier.citationAbstracts of the Genetic and Evolutionary Computation Conference Companion (GECCO 2018), 2018 / Aguirre, H.E., Takadama, K. (ed./s), pp.937-955-
dc.identifier.isbn9781450357647-
dc.identifier.urihttps://hdl.handle.net/2440/136199-
dc.descriptionPowerPoint presentation-
dc.description.statementofresponsibilityAneta Neumann and Frank Neumann-
dc.language.isoen-
dc.publisherAssociation for Computing Machinery-
dc.rightsCopyright © 2018 Owner/Author-
dc.source.urihttps://dl.acm.org/doi/proceedings/10.1145/3205651-
dc.titleEvolutionary computation for digital art-
dc.typeConference item-
dc.contributor.conferenceGenetic and Evolutionary Computation Conference Companion (GECCO) (15 Jul 2018 - 19 Jul 2018 : Kyoto, Japan)-
dc.identifier.doi10.1145/3205651.3207861-
pubs.publication-statusPublished-
dc.identifier.orcidNeumann, A. [0000-0002-0036-4782]-
dc.identifier.orcidNeumann, F. [0000-0002-2721-3618]-
Appears in Collections:Aurora harvest 3
Computer Science publications

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