GEVA is an implementation of Grammatical Evolution in Java developed at UCD’s Natural Computing Research & Applications group. As well as providing the characteristic genotype-phenotype mapper of GE a search algorithm engine, and GUI are also provided. Currently a variable-length integer encoding Evolutionary Algorithm search engine is provided.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Michael O’Neill, Erik Hemberg: PonyGE2: Grammatical Evolution in Python (2017) arXiv
- Farzad Noorian and Anthony de Silva and Philip Leong: gramEvol: Grammatical Evolution in R (2016) not zbMATH
- Bernardino, Heder S.; Barbosa, Helio J. C.: Grammar-based immune programming (2011)
- Risco-Martín, José L.; Atienza, David; Colmenar, J. Manuel; Garnica, Oscar: A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems (2010)