Interior Illumination Design Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Moylan:2015:evoMusArt,

• author = "Kelly Moylan and Brian Ross",
• title = "Interior Illumination Design Using Genetic Programming",
• booktitle = "4th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design",
• year = "2015",
• editor = "Colin Johnson and Adrian Carballal and Joao Correia",
• series = "LNCS",
• volume = "9027",
• publisher = "Springer",
• pages = "148--160",
• address = "Copenhagen",
• month = "8-10 " # apr,
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming, Radiance, Many-objective optimisation",
• isbn13 = "978-3-319-16500-4",
• DOI = "doi:10.1007/978-3-319-16498-4_14",
• 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 a many-objective problem involving 6 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.",
• notes = "Nominated for Best Paper EvoMusArt2015 held in conjunction with EuroGP'2015, EvoCOP2015 and EvoApplications2015. http://www.evostar.org/2015/cfp_evomusart.php",

}

Genetic Programming entries for Kelly Moylan Brian J Ross

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