Using scalable vector graphics to evolve art

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  title =        "Using scalable vector graphics to evolve art",
  author =       "Eelco {Den Heijer} and A. E. Eiben",
  journal =      "Int. J. of Arts and Technology",
  year =         "2016",
  month =        mar # "~22",
  volume =       "9",
  number =       "1",
  pages =        "59--85",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 computation, evolutionary art, scalable vector
                 graphics, SVG, initialisation, genotype representation,
                 abstract images, aesthetics, fitness functions",
  publisher =    "Inderscience Publishers",
  ISSN =         "1754-8861",
  bibsource =    "OAI-PMH server at",
  language =     "eng",
  URL =          "",
  DOI =          "doi:10.1504/IJART.2016.075408",
  size =         "27 pages",
  abstract =     "In this paper, we describe our investigations of the
                 use of scalable vector graphics as a genotype
                 representation in evolutionary art. We describe the
                 technical aspects of using SVG in evolutionary art, and
                 explain our custom, SVG specific operators
                 initialisation, mutation and crossover. We perform two
                 series of experiments; in the first series of
                 experiments, we investigate the feasibility of SVG as a
                 genotype representation for evolutionary art, and
                 evolve abstract images using a number of aesthetic
                 measures as fitness functions. In the second series of
                 experiments, we used existing images as source
                 material. We also designed and implemented an ad-hoc
                 aesthetic measure for pop-art and used this to evolve
                 images that are visually similar to pop-art. All
                 experiments described in this paper are done without a
                 human in the loop. All images and SVG code examples in
                 this paper are available at

Genetic Programming entries for Eelco den Heijer Gusz Eiben