Mixed Media in Evolutionary Art

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{Maslen:2022:CEC,

• author = "Jordan Maslen and Brian J. Ross",
• booktitle = "2022 IEEE Congress on Evolutionary Computation (CEC)",
• title = "Mixed Media in Evolutionary Art",
• year = "2022",
• editor = "Carlos A. Coello Coello and Sanaz Mostaghim",
• address = "Padua, Italy",
• month = "18-23 " # jul,
• isbn13 = "978-1-6654-6708-7",
• abstract = "Mixed media in the real world involves the creation of works of art that creatively combine a variety of media on the canvas, for example, watercolour, acrylic paint, and photographs. We present an evolutionary art system that implements a digital version of mixed media. A genetic programming system uses a language that renders different digital effects on a canvas. Each rendered effect takes the form of an art object, and the tree defines a set of art objects that together comprise a final rendered image. Available effects include procedural images (textures), image filters, and bitmaps. An art object is rendered onto the canvas via a predefined mask shape, which can range from simple geometric shapes such as circles or squares, to complex paintbrush strokes and paint splatters. Fitness evaluation measures the pixel by pixel colour distance between a rendered canvas and an input target image, which acts as a compositional guide for rendered images. Various runs of the system have produced an interesting variety of stylised, mixed-effect results, often appearing as abstract glitchy interpretations of target images.",
• keywords = "genetic algorithms, genetic programming, Image texture, Histograms, Art, Image color analysis, Shape, Graphics processing units, Media, evolutionary art, mixed media",
• DOI = "doi:10.1109/CEC55065.2022.9870271",
• notes = "Also known as \cite{9870271}",

}

Genetic Programming entries for Jordan Antonio Mervyn Maslen Brian J Ross

Citations