Multitask Evolution with Cartesian Genetic Programming

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

  author =       "Eric O. Scott and Kenneth A. {De Jong}",
  title =        "Multitask Evolution with Cartesian Genetic
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference Companion",
  series =       "GECCO '17",
  year =         "2017",
  isbn13 =       "978-1-4503-4939-0",
  address =      "Berlin, Germany",
  pages =        "255--256",
  size =         "2 pages",
  URL =          "",
  DOI =          "doi:10.1145/3067695.3075615",
  acmid =        "3075615",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, multitask learning",
  month =        "15-19 " # jul,
  abstract =     "We introduce a genetic programming method for solving
                 multiple Boolean circuit synthesis tasks
                 simultaneously. This allows us to solve a set of
                 elementary logic functions twice as easily as with a
                 direct, single-task approach.",
  notes =        "Also known as \cite{Scott:2017:MEC:3067695.3075615}
                 GECCO-2017 A Recombination of the 26th International
                 Conference on Genetic Algorithms (ICGA-2017) and the
                 22nd Annual Genetic Programming Conference (GP-2017)",

Genetic Programming entries for Eric O Scott Kenneth De Jong