gramEvol: Grammatical Evolution in R

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Authors Farzad Noorian, Anthony Mihirana De Silva, Philip Heng Wai Leong
Journal/Conference Name Journal of Statistical Software
Paper Category
Paper 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.
Date of publication 2016
Code Programming Language R

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