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All Projects → rhgrant10 → Acopy

rhgrant10 / Acopy

Licence: other
A Python implementation of the Ant Colony Optimization Meta-Heuristic

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===== ACOpy

.. image:: https://img.shields.io/pypi/v/acopy.svg :target: https://pypi.python.org/pypi/acopy

.. image:: https://img.shields.io/travis/rhgrant10/acopy.svg :target: https://travis-ci.org/rhgrant10/acopy

.. image:: https://readthedocs.org/projects/acopy/badge/?version=latest :target: https://acopy.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status

Ant Colony Optimization_ for the Traveling Salesman Problem.

Features

  • Uses NetworkX_ for graph representation
  • Solver can be customized via plugins
  • Has a utility for plotting information about the solving process
  • CLI tool that supports reading graphs in a variety of formats (including tsplib95_)
  • Support for plotting iteration data using matplotlib and pandas

ACOpy was formerly called "Pants."

For now, only Python 3.6+ is supported. If there is demand I will add support for 3.4+.

Credits

This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage .. _Ant Colony Optimization: http://en.wikipedia.org/wiki/Ant_colony_optimization_algorithms .. _NetworkX: https://networkx.github.io/ .. _tsplib95: https://tsplib95.readthedocs.io/

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