Exploring Grammatical Modification with Modules in Grammatical Evolution

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

  author =       "John Mark Swafford and Michael O'Neill and 
                 Miguel Nicolau and Anthony Brabazon",
  title =        "Exploring Grammatical Modification with Modules in
                 Grammatical Evolution",
  booktitle =    "Proceedings of the 14th European Conference on Genetic
                 Programming, EuroGP 2011",
  year =         "2011",
  month =        "27-29 " # apr,
  editor =       "Sara Silva and James A. Foster and Miguel Nicolau and 
                 Mario Giacobini and Penousal Machado",
  series =       "LNCS",
  volume =       "6621",
  publisher =    "Springer Verlag",
  address =      "Turin, Italy",
  pages =        "310--321",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution: poster",
  isbn13 =       "978-3-642-20406-7",
  DOI =          "doi:10.1007/978-3-642-20407-4_27",
  abstract =     "There have been many approaches to modularity in the
                 field of evolutionary computation, each tailored to
                 function with a particular representation. This
                 research examines one approach to modularity and
                 grammar modification with a grammar-based approach to
                 genetic programming, grammatical evolution (GE). Here,
                 GE's grammar was modified over the course of an
                 evolutionary run with modules in order to facilitate
                 their appearance in the population. This is the first
                 step in what will be a series of analysis on methods of
                 modifying GE's grammar to enhance evolutionary
                 performance. The results show that identifying modules
                 and using them to modify GE's grammar can have a
                 negative effect on search performance when done
                 improperly. But, if undertaken thoughtfully, there are
                 possible benefits to dynamically enhancing the grammar
                 with modules identified during evolution.",
  notes =        "Part of \cite{Silva:2011:GP} EuroGP'2011 held in
                 conjunction with EvoCOP2011 EvoBIO2011 and

Genetic Programming entries for John Mark Swafford Michael O'Neill Miguel Nicolau Anthony Brabazon