Genetic and evolutionary Computation

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@Article{Cagnoni:2006:IA,
  author =       "Stefano Cagnoni and Riccardo Poli",
  title =        "Genetic and evolutionary Computation",
  journal =      "Intelligenza Artificiale",
  year =         "2006",
  volume =       "3",
  number =       "1/2",
  pages =        "94--101",
  month =        "Marzo-Giugno",
  keywords =     "genetic algorithms, genetic programming, gec, gas, es,
                 gsice, italian GEC, human-competitive",
  ISSN =         "1724-8035",
  URL =          "http://cswww.essex.ac.uk/staff/poli/papers/ai50-2006.pdf",
  size =         "8 pages",
  abstract =     "In this paper, we start by providing a gentle
                 introduction to the field of genetic and evolutionary
                 computation, particularly focusing on genetic
                 algorithms, but also touching upon other areas. We then
                 move on to briefly analyse the geographic distribution
                 of research excellence in this field, focusing our
                 attention specifically on Italian researchers. We then
                 present our own interpretation of where and how genetic
                 and evolutionary computation fits in the broader
                 landscape of artificial intelligence research. We
                 conclude by making a prediction of the future impact of
                 this technology in the short term.",
  notes =        "In English. Tutorial. http://ia.di.uniba.it/ Periodico
                 trimestrale dell'Associazione Italiana per
                 l'Intelligenza Artificiale

                 by 2012 daily invention machine",
}

Genetic Programming entries for Stefano Cagnoni Riccardo Poli

Citations