EvoDAG 0.1.8a0

Evolving Directed Acyclic Graph

[](https://travis-ci.org/mgraffg/EvoDAG)

[](https://badge.fury.io/py/EvoDAG)

# EvoDAG

Evolving Directed Acyclic Graph (EvoDAG) is a steady-state Genetic Programming system
with tournament selection. The main characteristic of EvoDAG is that
the genetic operation is performed at the root. EvoDAG was inspired
by the geometric semantic crossover proposed by
[Alberto Moraglio](https://scholar.google.com.mx/citations?user=0y4XRI0AAAAJ&hl=en&oi=ao)
_et al._ and the implementation performed by
[Leonardo Vanneschi](https://scholar.google.com.mx/citations?user=uR5K07QAAAAJ&hl=en&oi=ao)
_et al_.


## Install EvoDAG

* Install using pip
```pip install EvoDAG```

### Using the source code
* Clone the repository
```git clone https://github.com/mgraffg/EvoDAG.git```
* Install the package as usual
```python setup.py install```
* To install only for the use then
```python setup.py install --user```