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    Inverse Illumination Design with Genetic Programming

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    Brock_Moylan_Kelly_2015.pdf
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    Description:
    MSc Thesis
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    Author
    Moylan, Kelly
    Keyword
    Evolutionary Design
    Genetic Programming
    Illumination
    Many Objectives
    Evolutionary Computation
    
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    URI
    http://hdl.handle.net/10464/7243
    Abstract
    Interior 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.
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