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dc.contributor.authorBerg, Joachim
dc.contributor.authorBerggren, Nils Gustav Andreas
dc.contributor.authorBorgeteien, Sivert
dc.contributor.authorJahren, Christian
dc.contributor.authorSajid, Arqam
dc.contributor.authorNichele, Stefano
dc.date.accessioned2020-03-31T11:17:03Z
dc.date.accessioned2020-04-07T15:46:35Z
dc.date.available2020-03-31T11:17:03Z
dc.date.available2020-04-07T15:46:35Z
dc.date.issued2019-11-22
dc.identifier.citationBerg J, Berggren NGA, Borgeteien S, Jahren C, Sajid A, Nichele S: Evolved Art with Transparent, Overlapping, and Geometric Shapes. In: Bach K, Ruocco M. Nordic Artificial Intelligence Research and Development: Porc. of Third Symposium of the Norwegian AI Society, NAIS 2019, 2019. Springer p. 3-15en
dc.identifier.issn1865-0929
dc.identifier.issn1865-0929
dc.identifier.issn1865-0937
dc.identifier.urihttps://hdl.handle.net/10642/8390
dc.description.abstractIn this work, an evolutionary art project is presented where images are approximated by transparent, overlapping and geometric shapes of different types, e.g., polygons, circles, lines. Genotypes representing features and order of the geometric shapes are evolved with a fitness function that has the corresponding pixels of an input image as a target goal. A genotype-to-phenotype mapping is therefore applied to render images, as the chosen genetic representation is indirect, i.e., genotypes do not include pixels but a combination of shapes with their properties. Different combinations of shapes, quantity of shapes, mutation types and populations are tested. The goal of the work herein is twofold: (1) to approximate images as precisely as possible with evolved indirect encodings, (2) to produce visually appealing results and novel artistic styles.en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofNAIS 2019: Nordic Artificial Intelligence Research and Development; Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Proceedings
dc.relation.ispartofseriesCommunications in Computer and Information Science;Volume 1056
dc.rightsThis is a post-peer-review, pre-copyedit version of a chapter published in Nordic Artificial Intelligence Research and Development, Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Part of the Communications in Computer and Information Science book series (CCIS, volume 1056). The final authenticated version is available online at: https://dx.doi.org/10.1007/978-3-030-35664-4_1en
dc.subjectArtificial intelligenceen
dc.subjectEvolutionary arten
dc.titleEvolved Art with Transparent, Overlapping, and Geometric Shapesen
dc.typeConference objecten
dc.date.updated2020-03-31T11:17:03Z
dc.description.versionacceptedVersionen
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-030-35664-4_1
dc.identifier.cristin1765448
dc.source.isbn978-3-030-35663-7


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