PonyGE2: Grammatical Evolution in Python

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{Fenton:2017:GECCOa,

• author = "Michael Fenton and James McDermott and David Fagan and Stefan Forstenlechner and Erik Hemberg and Michael O'Neill",
• title = "{PonyGE2}: Grammatical Evolution in Python",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "1194--1201",
• size = "8 pages",
• URL = "http://doi.acm.org/10.1145/3067695.3082469",
• DOI = "doi:10.1145/3067695.3082469",
• acmid = "3082469",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• month = "15-19 " # jul,
• 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 = "Also known as \cite{Fenton:2017:PGE:3067695.3082469} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",

}

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

Citations