- 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 Evolution",
-
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 developed.",
-
notes = "https://github.com/jmmcd/PonyGE2
Proceedings of GECCO '17 Companion, Berlin, Germany, July 15-19, 2017, 8 pages",
