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dc.contributor.advisorBremdal, Bernt Arild
dc.contributor.advisorJansson, Andreas Dyrøy
dc.contributor.authorBorhaug, Håkon Berg
dc.date.accessioned2024-07-18T06:23:44Z
dc.date.available2024-07-18T06:23:44Z
dc.date.issued2024-05-14en
dc.description.abstractThis thesis discusses the process of designing, implementing and testing a creative AI system that generates 3D models for the purpose of video game development. The system utilizes a combination of an interactive genetic algorithm and a distance weighted K-nearest neighbour regressor. Regression is employed as a learning mechanism to enable the system to rate designs based on the overall user design preferences absorbed through user interaction. The results from testing the implemented sytem are discussed, and possible changes and improvements to the system based on the produced results are also covered.en_US
dc.identifier.urihttps://hdl.handle.net/10037/34157
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universitetno
dc.publisherUiT The Arctic University of Norwayen
dc.rights.holderCopyright 2024 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDDTE-3900
dc.subject3D modellingen_US
dc.subjectGenetic algorithmen_US
dc.subjectK-nearest neighbouren_US
dc.titleAdaptable and interactive 3D modelling using genetic algorithmsen_US
dc.typeMaster thesisen
dc.typeMastergradsoppgaveno


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)