Pyticle Swarm

The Pyticle Swarm is a library created with Python 3.9 capable of running a particle swarm optimization for an array given a fitness function.

To use it simply install anaconda ou any other software that allows the creation of a python environment and you will be able to run it.

The library has dependencies on the following packages:

• numpy

• matplotlib

• matplotlib-inline

• joblib

To create an anaconda environment run:

$ conda create -n {name_of_environment} python=3.9

To activate the anaconda environment execute:

$ conda activate {name_of_environment}

To install the library simply run:

$ pip install pyticle-swarm

To upgrade the library run:

$ pip install pyticle-swarm -U

To import the library and the PSO algorithm:

from pyticleswarm import run_pso

To try the example given in github:

$ python example.py

CHANGELOG

Pyticle Swarm was developed at GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development by:

• Bruno Veiga - btsve@isep.ipp.pt

• Ricardo Faia - rfmfa@isep.ipp.pt

• Tiago Pinto - tcp@isep.ipp.pt

• Zita Vale - zav@isep.ipp.pt