Evolving the best known approximation to the Q function

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{Phong:2012:GECCO,
  author =       "Dao Ngoc Phong and Nguyen Xuan Hoai and 
                 Robert Ian McKay and Constantin Siriteanu and Nguyen Quang Uy and 
                 Namyong Park",
  title =        "Evolving the best known approximation to the Q
                 function",
  booktitle =    "GECCO '12: Proceedings of the fourteenth international
                 conference on Genetic and evolutionary computation
                 conference",
  year =         "2012",
  editor =       "Terry Soule and Anne Auger and Jason Moore and 
                 David Pelta and Christine Solnon and Mike Preuss and 
                 Alan Dorin and Yew-Soon Ong and Christian Blum and 
                 Dario Landa Silva and Frank Neumann and Tina Yu and 
                 Aniko Ekart and Will Browne and Tim Kovacs and 
                 Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and 
                 Giovanni Squillero and Nicolas Bredeche and 
                 Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and 
                 Martin Pelikan and Silja Meyer-Nienberg and 
                 Christian Igel and Greg Hornby and Rene Doursat and 
                 Steve Gustafson and Gustavo Olague and Shin Yoo and 
                 John Clark and Gabriela Ochoa and Gisele Pappa and 
                 Fernando Lobo and Daniel Tauritz and Jurgen Branke and 
                 Kalyanmoy Deb",
  isbn13 =       "978-1-4503-1177-9",
  pages =        "807--814",
  keywords =     "genetic algorithms, genetic programming",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Philadelphia, Pennsylvania, USA",
  DOI =          "doi:10.1145/2330163.2330275",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "The Gaussian Q-function is the integral of the tail of
                 the Gaussian distribution; as such, it is important
                 across a vast range of fields requiring stochastic
                 analysis. No elementary closed form is possible, so a
                 number of approximations have been proposed. We use a
                 Genetic Programming (GP) system, Tree Adjoining Grammar
                 Guided GP (TAG3P) with local search operators to evolve
                 approximations of the Q-function in the form given by
                 Benitez [1]. We found more accurate approximations than
                 any previously published. This confirms the practical
                 importance of local search in TAG3P.",
  notes =        "Entered for 2012 HUMIES GECCO 2012
                 http://www.genetic-programming.org/combined.php

                 Also known as \cite{2330275} GECCO-2012 A joint meeting
                 of the twenty first international conference on genetic
                 algorithms (ICGA-2012) and the seventeenth annual
                 genetic programming conference (GP-2012)",
}

Genetic Programming entries for Ngoc Phong Dao Nguyen Xuan Hoai R I (Bob) McKay Constantin Siriteanu Quang Uy Nguyen Namyong Park

Citations