Implementing an Intuitive Mutation Operator for Interactive Evolutionary 3D Design

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@InProceedings{byrne_etal:cec2010,
  author =       "Jonathan Byrne and James McDermott and 
                 Edgar Galvan-Lopez and Michael O'Neill",
  title =        "Implementing an Intuitive Mutation Operator for
                 Interactive Evolutionary {3D} Design",
  booktitle =    "2010 IEEE World Congress on Computational
                 Intelligence",
  pages =        "2919--2925",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution",
  isbn13 =       "978-1-4244-6910-9",
  DOI =          "doi:10.1109/CEC.2010.5586485",
  abstract =     "Locality - how well neighbouring genotypes correspond
                 to neighbouring phenotypes - has been described as a
                 key element in Evolutionary Computation. Grammatical
                 Evolution (GE) is a generative system as it uses
                 grammar rules to derive a program from an integer
                 encoded genome. The genome, upon which the evolutionary
                 process is carried out, goes through several
                 transformations before it produces an output. The aim
                 of this paper is to investigate the impact of locality
                 during the generative process using both qualitative
                 and quantitative techniques. To explore this, we
                 examine the effects of standard GE mutation using
                 distance metrics and conduct a survey of the output
                 designs. There are two different kinds of event that
                 occur during standard GE Mutation. We investigate how
                 each event type affects the locality on different
                 phenotypic stages when applied to the problem of
                 interactive design generation.",
  notes =        "CEC 2010. WCCI 2010. Also known as \cite{5586485}",
}

Genetic Programming entries for Jonathan Byrne James McDermott Edgar Galvan Lopez Michael O'Neill

Citations