Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Anthony Brabazon and Michael O'Neill and 
                 Sean McGarraghy",
  title =        "Grammatical Evolution",
  booktitle =    "Natural Computing Algorithms",
  publisher =    "Springer",
  year =         "2015",
  series =       "Natural Computing Series",
  chapter =      "19",
  pages =        "357--373",
  keywords =     "genetic algorithms, genetic programming, Grammatical
  isbn13 =       "978-3-662-43630-1",
  DOI =          "doi:10.1007/978-3-662-43631-8_19",
  abstract =     "Grammatical Evolution (GE), a form of grammar-based
                 genetic programming (Chap. 18
                 \cite{Brabazon:book:NCA.18}), is an algorithm that can
                 evolve computer programs, rulesets or, more generally,
                 sentences in any language [150, 460, 470, 472, 547].
                 Rulesets could be as diverse as a regression model, a
                 set of design instructions, or a trading system for a
                 financial market. Rather than representing the programs
                 as syntax trees, as in GP (Chap. 7
                 \cite{Brabazon:book:NCA.7}) [340, 514], a linear genome
                 representation is used in conjunction with a grammar.",
  notes =        "Part of \cite{Brabazon:book:NCA}",

Genetic Programming entries for Anthony Brabazon Michael O'Neill Sean McGarraghy