Grammatical Evolution (GE) is a metaheuristic from the Genetic Programming family which allows to evolve individuals represented as chromosomes expressing their phenotypes by means of a grammar.
Several GE implementations can be found at GitHub. Our first implementation, made in Java, can be found here: https://github.com/ABSysGroup/jeco.
The main idea of this project is to create a web environment for Grammatical Evolution experimentation where, by means of a web interface, researchers will be able to configure, run and analyze their experiments with GE.
Other nice implementations of GE, but based in Python:
- PonyGE : https://github.com/PonyGE/PonyGE2
- Dynamic Structured Grammatical Evolution (DSGE): https://github.com/nunolourenco/dsge
- Gonçalo Silveira (@gonkyprojects) - Internship 2019.
- Victor Oliveira (@victorOliveira1997) - Internship 2019.
- Carlos García Moreno (@garciamorenc) - By means of https://github.com/jmcolmenar/tfg-evaluacion-ge-2016-2017 .
- Alberto Niironen (@smensito) - Degree final work.