Structured Populations with Limited Resources Exhibit Higher Rates of Complex Function Evolution

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

@InProceedings{Covert:2014:ALIFE,
  author =       "Arthur W. {Covert, III} and Siena McFetridge and 
                 Evan DeLord",
  title =        "Structured Populations with Limited Resources Exhibit
                 Higher Rates of Complex Function Evolution",
  booktitle =    "Proceedings of the Fourteenth International Conference
                 of the Synthesis and Simulation of Living Systems,
                 ALIFE 14",
  year =         "2014",
  editor =       "Hiroki Sayama and John Rieffel and Sebastian Risi and 
                 Rene Doursat and Hod Lipson",
  series =       "Complex Adaptive Systems",
  pages =        "129--134",
  address =      "New York",
  month =        "30 " # jul # "-2 " # aug,
  organisation = "International Society for Artificial Life",
  publisher =    "MIT Press",
  keywords =     "genetic algorithms, genetic programming, Avida",
  isbn13 =       "9780262326216 ?",
  URL =          "http://mitpress.mit.edu/sites/default/files/titles/content/alife14/ch021.html",
  DOI =          "doi:10.7551/978-0-262-32621-6-ch021",
  size =         "6 pages",
  abstract =     "The impact of population structure on evolving
                 populations is difficult to study. Populations broken
                 up into groups of organisms and connected by low levels
                 of migration will experience different types of
                 geneflow than normal unstructured populations. Various
                 studies, spanning decades of research, have lead to
                 seemingly contradictory conclusions. Some point to
                 population structure as a means to improve adaptation,
                 others argue that population structure hinders
                 evolution. We investigate how population structure
                 impacts the evolution of complex functions in
                 environments with limited resources. We find that
                 structured populations with limited resources tend to
                 evolve complex functions at a higher rate than
                 unstructured populations, across a broad range of
                 migration rates. This suggests that population
                 structure may have an important impact on evolution, in
                 both sexual and asexual populations, at least at
                 certain migration rates.",
  notes =        "Evolves program comprised of nand and other
                 gates.

                 ALIFE 14
                 http://mitpress.mit.edu/books/artificial-life-14
                 ALIFE14NYC@gmail.com",
}

Genetic Programming entries for Arthur W Covert III Siena McFetridge Evan DeLord

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