Metadata-Version: 1.1
Name: EvoDAG
Version: 0.1.8a0
Summary: Evolving Directed Acyclic Graph
Home-page: https://github.com/mgraffg/EvoDAG
Author: Mario Graff
Author-email: mgraffg@ieee.org
License: UNKNOWN
Description: [![Build Status](https://travis-ci.org/mgraffg/EvoDAG.svg?branch=master)](https://travis-ci.org/mgraffg/EvoDAG)
        
        [![PyPI version](https://badge.fury.io/py/EvoDAG.svg)](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```
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
