gramEvol: Grammatical Evolution in R

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@Article{Noorian:2016:JSS,
  author =       "Farzad Noorian and Anthony M. {de Silva} and 
                 Philip H. W. Leong",
  title =        "gramEvol: Grammatical Evolution in R",
  journal =      "Journal of Statistical Software",
  year =         "2016",
  volume =       "71",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 Evolution",
  ISSN =         "1548-7660",
  URL =          "https://www.jstatsoft.org/article/view/v071i01/0",
  URL =          "https://www.jstatsoft.org/index.php/jss/article/view/v071i01/v71i01.pdf",
  DOI =          "doi:10.18637/jss.v071.i01",
  size =         "26 pages",
  abstract =     "We describe an R package which implements grammatical
                 evolution (GE) for automatic program generation. By
                 performing an unconstrained optimization over a
                 population of R expressions generated via a
                 user-defined grammar, programs which achieve a desired
                 goal can be discovered. The package facilitates the
                 coding and execution of GE programs, and supports
                 parallel execution. In addition, three applications of
                 GE in statistics and machine learning, including
                 hyper-parameter optimization, classification and
                 feature generation are studied",
  notes =        "The University of Sydney",
}

Genetic Programming entries for Farzad Noorian Anthony M de Silva Philip H W Leong

Citations