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dc.contributor.authorBergen, Steve
dc.date.accessioned2012-02-09T15:14:03Z
dc.date.available2012-02-09T15:14:03Z
dc.date.issued2012-02-09
dc.identifier.urihttp://hdl.handle.net/10464/3916
dc.description.abstractThree dimensional model design is a well-known and studied field, with numerous real-world applications. However, the manual construction of these models can often be time-consuming to the average user, despite the advantages o ffered through computational advances. This thesis presents an approach to the design of 3D structures using evolutionary computation and L-systems, which involves the automated production of such designs using a strict set of fitness functions. These functions focus on the geometric properties of the models produced, as well as their quantifiable aesthetic value - a topic which has not been widely investigated with respect to 3D models. New extensions to existing aesthetic measures are discussed and implemented in the presented system in order to produce designs which are visually pleasing. The system itself facilitates the construction of models requiring minimal user initialization and no user-based feedback throughout the evolutionary cycle. The genetic programming evolved models are shown to satisfy multiple criteria, conveying a relationship between their assigned aesthetic value and their perceived aesthetic value. Exploration into the applicability and e ffectiveness of a multi-objective approach to the problem is also presented, with a focus on both performance and visual results. Although subjective, these results o er insight into future applications and study in the fi eld of computational aesthetics and automated structure design.en_US
dc.language.isoengen_US
dc.publisherBrock Universityen_US
dc.subjectAestheticsen_US
dc.subject3D modelsen_US
dc.subjectGenetic programmingen_US
dc.subjectL-systemsen_US
dc.subjectMulti-objective evaluationen_US
dc.titleAutomatic Structure Generation using Genetic Programming and Fractal Geometryen_US
dc.typeElectronic Thesis or Dissertationen_US
dc.degree.nameM.Sc. Computer Scienceen_US
dc.degree.levelMastersen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.degree.disciplineFaculty of Mathematics and Scienceen_US


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