dc.contributor.advisor | Bremdal, Bernt Arild | |
dc.contributor.advisor | Jansson, Andreas Dyrøy | |
dc.contributor.author | Borhaug, Håkon Berg | |
dc.date.accessioned | 2024-07-18T06:23:44Z | |
dc.date.available | 2024-07-18T06:23:44Z | |
dc.date.issued | 2024-05-14 | en |
dc.description.abstract | This 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.uri | https://hdl.handle.net/10037/34157 | |
dc.language.iso | eng | en_US |
dc.publisher | UiT Norges arktiske universitet | no |
dc.publisher | UiT The Arctic University of Norway | en |
dc.rights.holder | Copyright 2024 The Author(s) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0 | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | en_US |
dc.subject.courseID | DTE-3900 | |
dc.subject | 3D modelling | en_US |
dc.subject | Genetic algorithm | en_US |
dc.subject | K-nearest neighbour | en_US |
dc.title | Adaptable and interactive 3D modelling using genetic algorithms | en_US |
dc.type | Master thesis | en |
dc.type | Mastergradsoppgave | no |