PonyGE2: Grammatical Evolution in Python

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Michael Fenton and James McDermott and David Fagan and 
                 Stefan Forstenlechner and Michael O'Neill and 
                 Erik Hemberg",
  title =        "PonyGE2: Grammatical Evolution in Python",
  howpublished = "arXiv",
  volume =       "abs/1703.08535",
  year =         "2017",
  month =        "26 " # apr,
  keywords =     "genetic algorithms, genetic programming, Grammatical
  URL =          "http://arxiv.org/abs/1703.08535",
  DOI =          "doi:10.1145/3067695.3082469",
  timestamp =    "Mon, 03 Apr 2017 12:41:34 +0200",
  biburl =       "http://dblp.uni-trier.de/rec/bib/journals/corr/FentonMFFOH17",
  bibsource =    "dblp computer science bibliography, http://dblp.org",
  size =         "13 pages",
  abstract =     "Grammatical Evolution (GE) is a population-based
                 evolutionary algorithm, where a formal grammar is used
                 in the genotype to phenotype mapping process. PonyGE2
                 is an open source implementation of GE in Python,
                 developed at UCD's Natural Computing Research and
                 Applications group. It is intended as an advertisement
                 and a starting-point for those new to GE, a reference
                 for students and researchers, a rapid-prototyping
                 medium for our own experiments, and a Python workout.
                 As well as providing the characteristic genotype to
                 phenotype mapping of GE, a search algorithm engine is
                 also provided. A number of sample problems and
                 tutorials on how to use and adapt PonyGE2 have been
  notes =        "https://github.com/jmmcd/PonyGE2

                 Proceedings of GECCO '17 Companion, Berlin, Germany,
                 July 15-19, 2017, 8 pages",

Genetic Programming entries for Michael Fenton James McDermott David Fagan Stefan Forstenlechner Michael O'Neill Erik Hemberg