A Python-based Particle Swarm Optimization (PSO) library.
Project description
========
PySwarms
========
.. image:: https://badge.fury.io/py/pyswarms.svg
:target: https://badge.fury.io/py/pyswarms
.. image:: https://img.shields.io/travis/ljvmiranda921/pyswarms.svg
:target: https://travis-ci.org/ljvmiranda921/pyswarms
.. image:: https://readthedocs.org/projects/pyswarms/badge/?version=latest
:target: https://pyswarms.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://landscape.io/github/ljvmiranda921/pyswarms/master/landscape.svg?style=flat
:target: https://landscape.io/github/ljvmiranda921/pyswarms/master
:alt: Code Health
.. image:: https://pyup.io/repos/github/ljvmiranda921/pyswarms/shield.svg
:target: https://pyup.io/repos/github/ljvmiranda921/pyswarms/
:alt: Updates
.. image:: https://img.shields.io/badge/license-MIT-blue.svg
:target: https://raw.githubusercontent.com/ljvmiranda921/pyswarms/master/LICENSE
PySwarms is a simple, Python-based, Particle Swarm Optimization (PSO) library.
* Free software: MIT license
* Documentation: https://pyswarms.readthedocs.io.
Features
--------
* High-level module for Particle Swarm Optimization
* Test optimizers using various objective functions
* (For Devs): Highly-extensible API for implementing your own techniques
Dependencies
-------------
* Python 3.4 and above
* numpy >= 1.10.4
* scipy >= 0.17.0
Installation
-------------
To install PySwarms, run this command in your terminal:
.. code-block:: console
$ pip install pyswarms
This is the preferred method to install PySwarms, as it will always install the most recent stable release.
Basic Usage
------------
To use PySwarms in your project,
.. code-block:: python
import pyswarms as ps
Suppose you want to find the minima of :math:`f(x) = x^2` using global best PSO, simply import the
built-in sphere function, :code:`pyswarms.utils.functions.sphere_func()`, and the necessary optimizer:
.. code-block:: python
import pyswarms as ps
from pyswarms.utils.functions import single_obj as fx
# Set-up hyperparameters
options = {'c1': 0.5, 'c2': 0.3, 'w':0.9}
# Call instance of PSO
optimizer = ps.single.GBestPSO(n_particles=10, dims=2, **options)
# Perform optimization
stats = optimizer.optimize(fx.sphere_func, iters=100)
Credits
---------
This project was inspired by the pyswarm_ module that performs PSO with constrained support.
The package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _pyswarm: https://github.com/tisimst/pyswarm
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
=======
History
=======
0.1.0 (2017-07-12)
------------------
* First release on PyPI.
0.1.1 (2017-07-25)
~~~~~~~~~~~~~~~~~
* Pre-release
* Bug fixes on calling local-best
* Implemented Local Best PSO
0.1.2 (2017-08-02)
~~~~~~~~~~~~~~~~~
* Pre-release
* Implemented Binary PSO
* More efficient API for gbest and lbest
* Documentation and tests
0.1.3 (2017-08-03)
~~~~~~~~~~~~~~~~~
* Well, this is embarassing...
* Added a patch to fix :code:`pip` installation
PySwarms
========
.. image:: https://badge.fury.io/py/pyswarms.svg
:target: https://badge.fury.io/py/pyswarms
.. image:: https://img.shields.io/travis/ljvmiranda921/pyswarms.svg
:target: https://travis-ci.org/ljvmiranda921/pyswarms
.. image:: https://readthedocs.org/projects/pyswarms/badge/?version=latest
:target: https://pyswarms.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://landscape.io/github/ljvmiranda921/pyswarms/master/landscape.svg?style=flat
:target: https://landscape.io/github/ljvmiranda921/pyswarms/master
:alt: Code Health
.. image:: https://pyup.io/repos/github/ljvmiranda921/pyswarms/shield.svg
:target: https://pyup.io/repos/github/ljvmiranda921/pyswarms/
:alt: Updates
.. image:: https://img.shields.io/badge/license-MIT-blue.svg
:target: https://raw.githubusercontent.com/ljvmiranda921/pyswarms/master/LICENSE
PySwarms is a simple, Python-based, Particle Swarm Optimization (PSO) library.
* Free software: MIT license
* Documentation: https://pyswarms.readthedocs.io.
Features
--------
* High-level module for Particle Swarm Optimization
* Test optimizers using various objective functions
* (For Devs): Highly-extensible API for implementing your own techniques
Dependencies
-------------
* Python 3.4 and above
* numpy >= 1.10.4
* scipy >= 0.17.0
Installation
-------------
To install PySwarms, run this command in your terminal:
.. code-block:: console
$ pip install pyswarms
This is the preferred method to install PySwarms, as it will always install the most recent stable release.
Basic Usage
------------
To use PySwarms in your project,
.. code-block:: python
import pyswarms as ps
Suppose you want to find the minima of :math:`f(x) = x^2` using global best PSO, simply import the
built-in sphere function, :code:`pyswarms.utils.functions.sphere_func()`, and the necessary optimizer:
.. code-block:: python
import pyswarms as ps
from pyswarms.utils.functions import single_obj as fx
# Set-up hyperparameters
options = {'c1': 0.5, 'c2': 0.3, 'w':0.9}
# Call instance of PSO
optimizer = ps.single.GBestPSO(n_particles=10, dims=2, **options)
# Perform optimization
stats = optimizer.optimize(fx.sphere_func, iters=100)
Credits
---------
This project was inspired by the pyswarm_ module that performs PSO with constrained support.
The package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _pyswarm: https://github.com/tisimst/pyswarm
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
=======
History
=======
0.1.0 (2017-07-12)
------------------
* First release on PyPI.
0.1.1 (2017-07-25)
~~~~~~~~~~~~~~~~~
* Pre-release
* Bug fixes on calling local-best
* Implemented Local Best PSO
0.1.2 (2017-08-02)
~~~~~~~~~~~~~~~~~
* Pre-release
* Implemented Binary PSO
* More efficient API for gbest and lbest
* Documentation and tests
0.1.3 (2017-08-03)
~~~~~~~~~~~~~~~~~
* Well, this is embarassing...
* Added a patch to fix :code:`pip` installation
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyswarms-0.1.3.tar.gz
(24.5 kB
view hashes)