Metadata-Version: 1.1
Name: gaft
Version: 0.3.2
Summary: A Genetic Algorithm Framework in Python
Home-page: https://github.com/PytLab/gaft
Author: Shao-Zheng-Jiang
Author-email: shaozhengjiang@gmail.com
License: LICENSE
Download-URL: https://github.com/PytLab/gaft/releases
Description: 
        ====
        GAFT
        ====
        
        A **G**\ enetic **A**\ lgorithm **F**\ ramework in py\ **T**\ hon
        
        .. image:: https://travis-ci.org/PytLab/gaft.svg?branch=master
            :target: https://travis-ci.org/PytLab/gaft
            :alt: Build Status
        
        .. image:: https://codecov.io/gh/PytLab/gaft/branch/master/graph/badge.svg
          :target: https://codecov.io/gh/PytLab/gaft
        
        .. image:: https://landscape.io/github/PytLab/gaft/master/landscape.svg?style=flat
            :target: https://landscape.io/github/PytLab/gaft/master
            :alt: Code Health
        
        .. image:: https://img.shields.io/badge/python-3.5-green.svg
            :target: https://www.python.org/downloads/release/python-351/
            :alt: platform
        
        .. image:: https://img.shields.io/badge/pypi-v0.3.2-blue.svg
            :target: https://pypi.python.org/pypi/gaft/
            :alt: versions
        
        
        Introduction
        ------------
        
        **gaft** is a Python Framework for genetic algorithm computation. It provide built-in genetic operators for genetic algorithm optimization and plugin interfaces for users to define your own genetic operators and on-the-fly analysis for algorithm testing.
        
        **gaft** is now accelerated using MPI parallelization interfaces. You can run it on your cluster in parallal with MPI environment.
        
        Installation:
        -------------
        
        1. Via pip::
        
            pip install gaft
        
        2. From source::
        
            python setup.py install
        
        
Platform: linux
Platform: windows
Platform: macos
