Evolutionary computing: the rise of electronic breeding

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@Article{Hedberg:2005:IS,
  author =       "Sara Resse Hedberg",
  title =        "Evolutionary computing: the rise of electronic
                 breeding",
  journal =      "Intelligent Systems",
  year =         "2005",
  volume =       "20",
  number =       "6",
  pages =        "12--15",
  month =        nov # "-" # dec,
  keywords =     "genetic algorithms, genetic programming, biological
                 evolution, electronic breeding, evolutionary
                 computing",
  DOI =          "doi:10.1109/MIS.2005.104",
  ISSN =         "1541-1672",
  size =         "4 pages",
  abstract =     "GAs and their relations, which fall under the umbrella
                 term evolutionary computing, are being harnessed to
                 optimise designs of all sorts. GAs mimics the
                 mechanisms of biological evolution. Populations of
                 individuals evolve by means of reproduction,
                 inheritance, mutation, natural selection, and
                 recombination or crossover (two organisms swap a
                 portion of their genetic code). The result is
                 computational methods that build a population of
                 individuals or designs based on a set of criteria and
                 constraints.",
  notes =        "high level",
}

Genetic Programming entries for Sara Resse Hedberg

Citations