evoVersion: Visualizing Evolutionary Histories

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@InProceedings{Kelly:2016:CEC,
  author =       "Justin Kelly and Christian Jacob",
  title =        "{evoVersion}: Visualizing Evolutionary Histories",
  booktitle =    "Proceedings of 2016 IEEE Congress on Evolutionary
                 Computation (CEC 2016)",
  year =         "2016",
  editor =       "Yew-Soon Ong",
  pages =        "814--821",
  address =      "Vancouver",
  month =        "24-29 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-5090-0623-6",
  DOI =          "doi:10.1109/CEC.2016.7743875",
  abstract =     "Evolutionary computation is a field characterized by
                 large data sets produced either through user-driven or
                 automatic evaluation. Because of the sheer magnitude of
                 evolved solutions that need to be reviewed and
                 analysed, it can be difficult to fully use evolutionary
                 data effectively. To address this challenge we present
                 evoVersion, a system capable of applying version
                 control methodologies to assist with both the
                 organization and visualization of evolutionary data for
                 the purpose of building upon previous sessions and
                 assisting with collaborative evolutionary design. Our
                 system is implemented in a 3D game engine, which can
                 make use of immersive and virtual reality visualization
                 of evolutionary design experiments.",
  notes =        "WCCI2016",
}

Genetic Programming entries for Justin Kelly Christian Jacob

Citations