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gramEvol: Grammatical Evolution in R

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  • Noorian, Farzad
  • de Silva, Anthony M.
  • Leong, Philip H. W.

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.

Suggested Citation

  • Noorian, Farzad & de Silva, Anthony M. & Leong, Philip H. W., 2016. "gramEvol: Grammatical Evolution in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 71(i01).
    • Handle: RePEc:jss:jstsof:v:071:i01
    DOI: http://hdl.handle.net/10.18637/jss.v071.i01
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    References listed on IDEAS

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    1. Kuhn, Max, 2008. "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i05).
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    Cited by:

    1. Ioannis G. Tsoulos & Alexandros Tzallas & Evangelos Karvounis, 2024. "Using Optimization Techniques in Grammatical Evolution," Future Internet, MDPI, vol. 16(5), pages 1-20, May.

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