Towards adaptive mutation in grammatical evolution

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

  author =       "David Fagan and Erik Hemberg and Miguel Nicolau and 
                 Michael O'Neill and Sean McGarraghy",
  title =        "Towards adaptive mutation in grammatical evolution",
  booktitle =    "GECCO Companion '12: Proceedings of the fourteenth
                 international conference on Genetic and evolutionary
                 computation conference companion",
  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 =       "978-1-4503-1178-6",
  keywords =     "genetic algorithms, Genetic programming, grammatical
                 evolution: Poster",
  pages =        "1481--1482",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Philadelphia, Pennsylvania, USA",
  DOI =          "doi:10.1145/2330784.2331002",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Adaptive mutation operations have been proposed in
                 Evolutionary Computation (EC) many times and in
                 different varieties, but few have gained widespread
                 use. In nature, mutation rates vary over time, however
                 it has become common practice to use static, widely
                 accepted, values for mutation, particularly in GP-like
                 systems. In this study, an adaptive mutation operation
                 is presented and applied to Grammatical Evolution (GE)
                 over a variety of benchmark problems. The results are
                 examined and it is determined that the new operators
                 could replace the need to specify mutation rates in GE
                 on the problem domains examined.",
  notes =        "Also known as \cite{2331002} Distributed at

                 ACM Order Number 910122.",

Genetic Programming entries for David Fagan Erik Hemberg Miguel Nicolau Michael O'Neill Sean McGarraghy