Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
gramEvol: Grammatical Evolution in R | Noorian | Journal of Statistical Software
Authors: Farzad Noorian, Anthony M. de Silva, Philip H. W. Leong
Title: gramEvol: Grammatical Evolution in R
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.

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Paper: gramEvol: Grammatical Evolution in R     Download PDF (Downloads: 909)
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gramEvol_2.1-3.tar.gz: R source package Download (Downloads: 46; 303KB)
v71i01-replication.zip: Replication materials Download (Downloads: 36; 134KB)
v71i01.R: R replication code Download (Downloads: 55; 8KB)

DOI: 10.18637/jss.v071.i01

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