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dc.contributor.authorMoylan, Kelly
dc.date.accessioned2015-09-24T12:50:08Z
dc.date.available2015-09-24T12:50:08Z
dc.identifier.urihttp://hdl.handle.net/10464/7243
dc.description.abstractInterior illumination is a complex problem involving numerous interacting factors. This research applies genetic programming towards problems in illumination design. The Radiance system is used for performing accurate illumination simulations. Radiance accounts for a number of important environmental factors, which we exploit during fitness evaluation. Illumination requirements include local illumination intensity from natural and artificial sources, colour, and uniformity. Evolved solutions incorporate design elements such as artificial lights, room materials, windows, and glass properties. A number of case studies are examined, including many-objective problems involving up to 7 illumination requirements, the design of a decorative wall of lights, and the creation of a stained-glass window for a large public space. Our results show the technical and creative possibilities of applying genetic programming to illumination design.en_US
dc.language.isoengen_US
dc.publisherBrock Universityen_US
dc.subjectEvolutionary Designen_US
dc.subjectGenetic Programmingen_US
dc.subjectIlluminationen_US
dc.subjectMany Objectivesen_US
dc.subjectEvolutionary Computationen_US
dc.titleInverse Illumination Design with Genetic Programmingen_US
dc.typeElectronic Thesis or Dissertationen
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
refterms.dateFOA2021-08-08T02:48:35Z


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