PonyGE2: Grammatical evolution in python

Michael Fenton; James McDermott; David Fagan; Stefan Forstenlechner; Erik Hemberg; Michael O'Neill

doi:10.1145/3067695.3082469

PonyGE2: Grammatical evolution in python

Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Erik Hemberg, Michael O'Neill

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

100 Citations (Scopus)

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.

Original language	English
Title of host publication	GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion
Publisher	Association for Computing Machinery, Inc
Pages	1194-1201
Number of pages	8
ISBN (Electronic)	9781450349390
DOIs	https://doi.org/10.1145/3067695.3082469
Publication status	Published - 15 Jul 2017
Externally published	Yes
Event	2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017 - Berlin, Germany Duration: 15 Jul 2017 → 19 Jul 2017

Publication series

Name	GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion

Conference

Conference	2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017
Country/Territory	Germany
City	Berlin
Period	15/07/17 → 19/07/17

Keywords

Genetic Programming
Grammatical Evolution

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3067695.3082469

Cite this

Fenton, M., McDermott, J., Fagan, D., Forstenlechner, S., Hemberg, E., & O'Neill, M. (2017). PonyGE2: Grammatical evolution in python. In GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1194-1201). (GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion). Association for Computing Machinery, Inc. https://doi.org/10.1145/3067695.3082469

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title = "PonyGE2: Grammatical evolution in python",

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.",

keywords = "Genetic Programming, Grammatical Evolution",

author = "Michael Fenton and James McDermott and David Fagan and Stefan Forstenlechner and Erik Hemberg and Michael O'Neill",

note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017 ; Conference date: 15-07-2017 Through 19-07-2017",

year = "2017",

month = jul,

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doi = "10.1145/3067695.3082469",

language = "English",

series = "GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion",

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Fenton, M, McDermott, J, Fagan, D, Forstenlechner, S, Hemberg, E & O'Neill, M 2017, PonyGE2: Grammatical evolution in python. in GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, Inc, pp. 1194-1201, 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017, Berlin, Germany, 15/07/17. https://doi.org/10.1145/3067695.3082469

PonyGE2: Grammatical evolution in python. / Fenton, Michael; McDermott, James; Fagan, David et al.
GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, 2017. p. 1194-1201 (GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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T1 - PonyGE2

T2 - 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017

AU - Fenton, Michael

AU - McDermott, James

AU - Fagan, David

AU - Forstenlechner, Stefan

AU - Hemberg, Erik

AU - O'Neill, Michael

PY - 2017/7/15

Y1 - 2017/7/15

N2 - 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.

AB - 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.

KW - Genetic Programming

KW - Grammatical Evolution

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U2 - 10.1145/3067695.3082469

DO - 10.1145/3067695.3082469

M3 - Conference Publication

T3 - GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion

SP - 1194

EP - 1201

BT - GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion

PB - Association for Computing Machinery, Inc

Y2 - 15 July 2017 through 19 July 2017

ER -

Fenton M, McDermott J, Fagan D, Forstenlechner S, Hemberg E, O'Neill M. PonyGE2: Grammatical evolution in python. In GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc. 2017. p. 1194-1201. (GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion). doi: 10.1145/3067695.3082469

PonyGE2: Grammatical evolution in python

Abstract

Publication series

Conference

Keywords

UN SDGs

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