Adaptable and interactive 3D modelling using genetic algorithms

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

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