Skip to main content

A Genetic Algorithm Framework in Python

Project description

A Genetic Algorithm Framework in pyThon

Build Status Codecov Code Health platform versions Documentation Status

Introduction

GAFT is a general Python Framework for genetic algorithm computation. It provides built-in genetic operators for target 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 parallel with MPI environment.

Python Support

GAFT requires Python version 3.x (Python 2.x is not supported).

Installation

  1. Via pip:

    pip install gaft
    
  2. From source:

    python setup.py install
    

If you want GAFT to run in MPI env, please install mpi4py explicitly:

pip install mpi4py

See INSTALL.md for more installation details.

Test

Run unit test:

python setup.py test

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gaft-0.5.7.tar.gz (23.7 kB view hashes)

Uploaded source

Built Distribution

gaft-0.5.7-py3-none-any.whl (39.8 kB view hashes)

Uploaded 3 5

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page