A Two-Tiered, Agent Based Approach for Autonomous, Evolutionary Texture Generation

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{McClintock:2008:cec,
  author =       "James McClintock and Gary G. Yen",
  title =        "A Two-Tiered, Agent Based Approach for Autonomous,
                 Evolutionary Texture Generation",
  booktitle =    "2008 IEEE World Congress on Computational
                 Intelligence",
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "3220--3227",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0707.pdf",
  DOI =          "doi:10.1109/CEC.2008.4631234",
  abstract =     "This paper proposes a two-tiered, evolutionary
                 architecture for computer based synthesis of textures.
                 In this architecture, a traditional tree based texture
                 generation system is controlled by a set of
                 evolutionary agents. The main contribution of this work
                 is that the user is able to choose the degree of
                 interaction and control they exert over the system.
                 Evolutionary agents are designed to contain information
                 about desirable image features, and they evolve based
                 on user feedback. The agents in turn control the main
                 evolutionary engine for generating textures. This
                 system allows the computer to continue working when the
                 designer leaves without limiting the designer's ability
                 to control the texture generation process when they are
                 available to interact with the system. An experimental
                 implementation is developed to verify the utility of
                 the proposed architecture for texture synthesis.
                 Results show significant improvements in the average
                 user ranking of the agents as the genetic algorithm
                 progresses.",
  keywords =     "genetic algorithms, genetic programming",
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",
}

Genetic Programming entries for James McClintock Gary G Yen

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