Hierarchical Grammatical Evolution

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

  author =       "Eric Medvet",
  title =        "Hierarchical Grammatical Evolution",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference Companion",
  series =       "GECCO '17",
  year =         "2017",
  isbn13 =       "978-1-4503-4939-0",
  address =      "Berlin, Germany",
  pages =        "249--250",
  size =         "2 pages",
  URL =          "http://doi.acm.org/10.1145/3067695.3075972",
  DOI =          "doi:10.1145/3067695.3075972",
  acmid =        "3075972",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 Evolution, genotype-phenotype mapping, locality,
                 redundancy, representation",
  month =        "15-19 " # jul,
  abstract =     "We present Hierarchical Grammatical Evolution (HGE)
                 and its variant Weighted HGE (WHGE), two novel
                 genotype-phenotype mapping procedures to be used in the
                 Grammatical Evolution (GE) framework. HGE/WHGE are
                 designed to exhibit better variational inheritance than
                 standard GE without imposing any constraint on the
                 structure of the genotype nor on the genetic operators.
                 Our proposal considers the phenotype as a hierarchy of
                 non-terminal expansions and is based on two key ideas:
                 (i) the closer the non-terminal to be expanded to the
                 root of the hierarchy the larger the genotype substring
                 determining its expansion, and (ii) upon expansion, a
                 non-terminal divides its genotype sub-string among the
                 resulting non-terminals. We experimentally evaluate our
                 proposals on a set of benchmark problems and show that
                 for the majority of them WHGE outperforms GE (and its
                 variant πGE).",
  notes =        "Also known as \cite{Medvet:2017:HGE:3067695.3075972}
                 GECCO-2017 A Recombination of the 26th International
                 Conference on Genetic Algorithms (ICGA-2017) and the
                 22nd Annual Genetic Programming Conference (GP-2017)",

Genetic Programming entries for Eric Medvet