Evolution of Artificial Ring Species

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

@InProceedings{Ashlock:2008:cec,
  author =       "Daniel Ashlock and Taika {von Konigslow}",
  title =        "Evolution of Artificial Ring Species",
  booktitle =    "2008 IEEE World Congress on Computational
                 Intelligence",
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "653--659",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0169.pdf",
  DOI =          "doi:10.1109/CEC.2008.4630865",
  abstract =     "Biological ring species are a population surrounding a
                 geographic obstruction such as a large lake or a
                 mountain range. Adjacent sub-populations are mutually
                 fertile, but fertility drops with distance. This study
                 attempts to create examples of artificial ring species
                 using evolutionary algorithms. ISAc lists, a
                 representation with self-organised and potentially
                 complex genetics, are used to evolve controllers for
                 the Tartarus task. The breeding population of Tartarus
                 controllers are arranged in a ring-shaped configuration
                 with strictly local gene flow. Fertility is defined to
                 be the probability that a child will have fitness at
                 least that of its least fit parent. Fertility is found
                 to drop steadily and significantly with distance around
                 the ring in each of twelve replicates of the
                 experiment. Comparison of fertility at various
                 distances within a ring-shaped population is compared
                 with sampled intra-population fertility. Some
                 populations are found to have significantly higher than
                 background fertility with other populations. This
                 phenomena suggests the presence of aggressive genetics
                 or dominant phenotype in which a creature has an
                 enhanced probability of simply cloning its own
                 phenotype during crossover. In addition to creating
                 examples of artificial ring species this study also
                 achieved a very high level of fitness with the Tartarus
                 task. A comparison is made with another study that uses
                 hybridisation to achieve record breaking Tartarus
                 fitness.",
  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 Daniel Ashlock Taika von Konigslow

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