- 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",
