Using aesthetic measures to evolve art

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{denHeijer:2010:cec,
  author =       "Eelco {den Heijer} and A. E. Eiben",
  title =        "Using aesthetic measures to evolve art",
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-6910-9",
  size =         "8 pages",
  abstract =     "In this paper we investigate and compare three
                 aesthetic measures within the context of evolutionary
                 art. We evolve visual art with an unsupervised
                 evolutionary art system using genetic programming and
                 an aesthetic measure as the fitness function. We
                 perform multiple experiments with different aesthetic
                 measures and examine their influence on the evolved
                 images. Additionally, we perform a cross-evaluation by
                 calculating the aesthetic value of images evolved by
                 measure i according to measure j. This way we
                 investigate the flexibility of each aesthetic measure
                 (i.e., whether the aesthetic measure appreciates
                 different types of images). Last, we perform an image
                 analysis using a fixed set of image statistics
                 functions. The results show that aesthetic measures
                 have a rather clear 'style' and that these styles can
                 be very different. Furthermore we find that some
                 aesthetic measures show little flexibility and
                 appreciate only a limited set of images. The images in
                 this paper might only be in colour in the electronic
                 version.",
  doi =          "doi:10.1109/CEC.2010.5586245",
  notes =        "Computational Aesthetics. Benford distribution,
                 Shannon entropy+Kolmogorov complexity. Arabitat (Art
                 Habitat) http://www.few.vu.nl/~eelco/ indexed colour
                 table, 'an image that can be compressed using PNG to
                 3percent or less of its original size is discarded'.
                 Table II - very little agreement between different
                 fitness measures.

                 WCCI 2010. Also known as \cite{5586245}",
}

Genetic Programming entries for Eelco den Heijer Gusz Eiben