Symbolic Regression by Grammar-based Multi-Gene Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Jan Zegklitz and Petr Posik",
  title =        "Symbolic Regression by Grammar-based Multi-Gene
                 Genetic Programming",
  booktitle =    "GECCO'15 Student Workshop",
  year =         "2015",
  editor =       "Tea Tusar and Boris Naujoks",
  isbn13 =       "978-1-4503-3488-4",
  keywords =     "genetic algorithms, genetic programming, grammatical
  pages =        "1217--1220",
  month =        "11-15 " # jul,
  organisation = "SIGEVO",
  address =      "Madrid, Spain",
  URL =          "",
  DOI =          "doi:10.1145/2739482.2768484",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Grammatical Evolution is an algorithm of Genetic
                 Programming but it is capable of evolving programs in
                 an arbitrary language given by a user-provided
                 context-free grammar. We present a way how to apply
                 Multi-Gene idea, known from Multi-Gene Genetic
                 Programming, to Grammatical Evolution, just by
                 modifying the given grammar. We also describe
                 modifications which improve the behaviour of such
                 algorithm, called Multi-Gene Grammatical Evolution. We
                 compare the resulting system to GPTIPS, an existing
                 implementation of MGGP.",
  notes =        "Also known as \cite{2768484} Distributed at

Genetic Programming entries for Jan Zegklitz Petr Posik