Towards Understanding the Effects of Locality in GP

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Galvan-Lopez:2009:MICAI,
  author =       "Edgar Galvan-Lopez and Michael O'Neill and 
                 Anthony Brabazon",
  title =        "Towards Understanding the Effects of Locality in GP",
  booktitle =    "Eighth Mexican International Conference on Artificial
                 Intelligence, MICAI 2009",
  year =         "2009",
  month =        "9-13 " # nov,
  editor =       "Arturo {Hernandez Aguirre} and Raul Monroy and 
                 Carlos Alberto {Reyes Garcia}",
  pages =        "9--14",
  address =      "Guanajuato, Mexico",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/MICAI.2009.17",
  isbn13 =       "978-0-7695-3933-1",
  abstract =     "Locality - how well neighbouring genotypes correspond
                 to neighbouring phenotypes - has been defined as a key
                 element in Evolutionary Computation systems to explore
                 and exploit the search space. Locality has been studied
                 empirically using the typical Genetic Algorithms (GAs)
                 representation (i.e., bitstrings),and it has been
                 argued that locality plays an important role in the
                 performance of evolution. To our knowledge, there are
                 no studies of locality using the typical Genetic
                 Programming (GP)representation (i.e., tree-like
                 structures). The aim of this paper is to shed some
                 light on this matter by using GP. To do so, we use
                 three different types of mutation taken from the
                 specialised literature. We then perform extensive
                 experiments by comparing the difference of distances at
                 the genotype level between parent and offspring and
                 their corresponding fitnesses. Our findings indicate
                 that there is low-locality in GP when using these forms
                 of mutation on a multimodal-deceptive landscape.",
  notes =        "Also known as \cite{5372725}",
}

Genetic Programming entries for Edgar Galvan Lopez Michael O'Neill Anthony Brabazon

Citations