From evolutionary computation to the evolution of things

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

@Article{Eiben:2015:nature,
  author =       "Agoston E. Eiben and Jim Smith",
  title =        "From evolutionary computation to the evolution of
                 things",
  journal =      "Nature",
  year =         "2015",
  volume =       "521",
  number =       "7553",
  pages =        "476--482",
  month =        "28 " # may,
  keywords =     "genetic algorithms, genetic programming, Insight,
                 Mathematics and computing, Computer science",
  publisher =    "Nature Publishing Group, a division of Macmillan
                 Publishers Limited",
  ISSN =         "0028-0836",
  DOI =          "doi:10.1038/nature14544",
  size =         "7 pages",
  abstract =     "Evolution has provided a source of inspiration for
                 algorithm designers since the birth of computers. The
                 resulting field, evolutionary computation, has been
                 successful in solving engineering tasks ranging in
                 outlook from the molecular to the astronomical. Today,
                 the field is entering a new phase as evolutionary
                 algorithms that take place in hardware are developed,
                 opening up new avenues towards autonomous machines that
                 can adapt to their environment. We discuss how
                 evolutionary computation compares with natural
                 evolution and what its benefits are relative to other
                 computing approaches, and we introduce the emerging
                 area of artificial evolution in physical systems.",
  notes =        "A little mention of GP",
}

Genetic Programming entries for Gusz Eiben James Smith

Citations