Comparing Aesthetic Measures for Evolutionary Art

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{Heijer:2010:EvoMUSART,
  author =       "E. {den Heijer} and A. E. Eiben",
  title =        "Comparing Aesthetic Measures for Evolutionary Art",
  booktitle =    "EvoMUSART",
  year =         "2010",
  editor =       "Cecilia {Di Chio} and Anthony Brabazon and 
                 Gianni A. {Di Caro} and Marc Ebner and Muddassar Farooq and 
                 Andreas Fink and Jorn Grahl and Gary Greenfield and 
                 Penousal Machado and Michael O'Neill and 
                 Ernesto Tarantino and Neil Urquhart",
  volume =       "6025",
  series =       "LNCS",
  pages =        "311--320",
  address =      "Istanbul",
  month =        "7-9 " # apr,
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-12241-5",
  DOI =          "doi:10.1007/978-3-642-12242-2_32",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.462.9840",
  rights =       "Metadata may be used without restrictions as long as
                 the oai identifier remains attached to it.",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.462.9840",
  size =         "10 pages",
  abstract =     "In this paper we investigate and compare four
                 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. To this end we store the 5 fittest individuals
                 of each run and hand-pick the best 9 images after
                 finishing the whole series. This way we create a
                 portfolio of evolved art for each aesthetic measure for
                 visual inspection. 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). 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
                 very little flexibility and appreciate only a limited
                 set of images.",
  notes =        "EvoMUSART'2010 held in conjunction with EuroGP'2010
                 EvoCOP2010 EvoBIO2010",
}

Genetic Programming entries for Eelco den Heijer Gusz Eiben

Citations