Exploring Position Independent Initialisation in Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Fagan:2016:CEC,
  author =       "David Fagan and Michael Fenton and Michael O'Neill",
  title =        "Exploring Position Independent Initialisation in
                 Grammatical Evolution",
  booktitle =    "Proceedings of 2016 IEEE Congress on Evolutionary
                 Computation (CEC 2016)",
  year =         "2016",
  editor =       "Yew-Soon Ong",
  pages =        "5060--5067",
  address =      "Vancouver",
  month =        "24-29 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 Evolution",
  isbn13 =       "978-1-5090-0623-6",
  DOI =          "doi:10.1109/CEC.2016.7748331",
  abstract =     "Initialisation in Grammatical Evolution (GE) is a
                 topic that remains open to debate on many fronts. The
                 literature falls between two mainstay approaches:
                 random and sensible initialisation. These methods are
                 not without their drawbacks with the type of trees
                 generated. This paper tackles this problem by extending
                 these traditional operators to incorporate position
                 independence in the initialisation process in GE. This
                 new approach to initialisation is shown to provide a
                 viable alternative to the commonly used approaches,
                 whilst avoiding the common pitfalls of traditional
                 approaches to initialisation.",
  notes =        "WCCI2016",
}

Genetic Programming entries for David Fagan Michael Fenton Michael O'Neill

Citations