Evolutionary ANNs: A state of the art survey

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@Article{Azzini:2011:IA,

• author = "Antonia Azzini and Andrea G. B. Tettamanzi",
• title = "Evolutionary {ANNs}: A state of the art survey",
• journal = "Intelligenza Artificiale",
• year = "2011",
• volume = "5",
• number = "1",
• pages = "19--35",
• keywords = "genetic algorithms, genetic programming, ANN, Neural Networks, Classification",
• ISSN = "1724-8035",
• broken = "http://iospress.metapress.com/content/T144511510806253",
• DOI = "doi:10.3233/IA-2011-0002",
• size = "17 pages",
• abstract = "Neuro-genetic systems have become a very important topic of study in evolutionary computation in recent years. They are models that use evolutionary algorithms to optimise neural network design. This article is a survey of the state of art of evolutionary ANN systems, with a focus on the most recent developments, presented in the literature during the last decade. The main purpose of this work is to provide an update and extension of Yao's milestone survey, published back in 1999, by taking the most recent literature into account.",
• notes = "Special issue: Selected papers from the 15 International Conference of the Italian Association for Artificial Intelligence Marco Maratea, Giovanni Adorni, Stefano Cagnoni and Marco Gori",

}

Genetic Programming entries for Antonia Azzini Andrea G B Tettamanzi

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