Investigating Aesthetic Features to Model Human Preference in Evolutionary Art

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@InProceedings{Li:2012:EvoMUSART,
  author =       "Yang Li and Changjun Hu and Ming Chen and 
                 Jingyuan Hu",
  title =        "Investigating Aesthetic Features to Model Human
                 Preference in Evolutionary Art",
  booktitle =    "Proceedings of the 1st International Conference on
                 Evolutionary and Biologically Inspired Music, Sound,
                 Art and Design, EvoMUSART 2012",
  year =         "2012",
  month =        "11-13 " # apr,
  editor =       "Penousal Machado and Juan Romero and 
                 Adrian Carballal",
  series =       "LNCS",
  volume =       "7247",
  publisher =    "Springer Verlag",
  address =      "Malaga, Spain",
  pages =        "153--164",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, Aesthetic
                 learning, evolutionary art, interactive evolutionary
                 computation, computational aesthetics",
  isbn13 =       "978-3-642-29141-8",
  DOI =          "doi:10.1007/978-3-642-29142-5_14",
  abstract =     "In this paper we investigate aesthetic features in
                 learning aesthetic judgements in an evolutionary art
                 system. We evolve genetic art with our evolutionary art
                 system, BioEAS, by using genetic programming and an
                 aesthetic learning model. The model is built by
                 learning both phenotype and genotype features, which we
                 extracted from internal evolutionary images and
                 external real world paintings, which could lead to more
                 interesting paths. By learning aesthetic judgment and
                 applying the knowledge to evolve aesthetical images,
                 the model helps user to automate the process of
                 evolutionary process. Several independent experimental
                 results show that our system is efficient to reduce
                 user fatigue in evolving art.",
  notes =        "Part of \cite{Machado:2012:EvoMusArt_proc}
                 EvoMUSART'2012 held in conjunction with EuroGP2012,
                 EvoCOP2012, EvoBIO2012 and EvoApplications2012",
}

Genetic Programming entries for Yang Li Changjun Hu Ming Chen Jingyuan Hu

Citations