An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Mauro Castelli and Davide Castaldi and 
                 Leonardo Vanneschi and Ilaria Giordani and 
                 Francesco Archetti and Daniele Maccagnola",
  title =        "An efficient implementation of geometric semantic
                 genetic programming for anticoagulation level
                 prediction in pharmacogenetics",
  booktitle =    "GECCO '13 Companion: Proceeding of the fifteenth
                 annual conference companion on Genetic and evolutionary
                 computation conference companion",
  year =         "2013",
  editor =       "Christian Blum and Enrique Alba and 
                 Thomas Bartz-Beielstein and Daniele Loiacono and 
                 Francisco Luna and Joern Mehnen and Gabriela Ochoa and 
                 Mike Preuss and Emilia Tantar and Leonardo Vanneschi and 
                 Kent McClymont and Ed Keedwell and Emma Hart and 
                 Kevin Sim and Steven Gustafson and 
                 Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and 
                 Nikolaus Hansen and Olaf Mersmann and Petr Posik and 
                 Heike Trautmann and Muhammad Iqbal and Kamran Shafi and 
                 Ryan Urbanowicz and Stefan Wagner and 
                 Michael Affenzeller and David Walker and Richard Everson and 
                 Jonathan Fieldsend and Forrest Stonedahl and 
                 William Rand and Stephen L. Smith and Stefano Cagnoni and 
                 Robert M. Patton and Gisele L. Pappa and 
                 John Woodward and Jerry Swan and Krzysztof Krawiec and 
                 Alexandru-Adrian Tantar and Peter A. N. Bosman and 
                 Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and 
                 David L. Gonzalez-Alvarez and 
                 Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and 
                 Kenneth Holladay and Tea Tusar and Boris Naujoks",
  isbn13 =       "978-1-4503-1964-5",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "137--138",
  month =        "6-10 " # jul,
  organisation = "SIGEVO",
  address =      "Amsterdam, The Netherlands",
  DOI =          "doi:10.1145/2464576.2464644",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "In the last few years researchers have dedicated
                 several efforts to the definition of Genetic
                 Programming (GP) [?] systems based on the semantics of
                 the solutions, where by semantics we generally intend
                 the behaviour of a program once it is executed on a set
                 of inputs, or more particularly the set of its output
                 values on input training data (this definition has been
                 used, among many others, for instance in [?, ?, ?, ?]).
                 In particular, new genetic operators, called geometric
                 semantic operators, have been proposed by Moraglio et
                 al. [?]. They are defined s follows:",
  notes =        "See \cite{Castelli:2013:EPIA} Also known as
                 \cite{2464644} Distributed at GECCO-2013.",

Genetic Programming entries for Mauro Castelli Davide Castaldi Leonardo Vanneschi Ilaria Giordani Francesco Archetti Daniele Maccagnola