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Implementation and visualization of different swarm optimization algorithms.

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This repository implements several swarm optimization algorithms and visualizes their (intermediate) solutions. To run the algorithms one can either use the CLI (recommended) or the API.

For a list of all available algorithms and their detailed description checkout the wiki.


You can install the package with pip from pypi. Installing the library in a virtual environment is recommended:

# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate

# Install the latest version of swarmlib
pip install --upgrade swarmlib

# Verify installation
swarm --version


To print all available algorithms:

swarm --help


If you found a bug or are missing a feature do not hesitate to file an issue or to ask questions on gitter. For a more detailed guide checkout the file.

Pull Requests are welcome!


Swarmlib's wiki includes all of the documentation and more details to each algorithm. It can be found here.


When you like this package make sure to star the repository. I am always looking for new ideas and feedback.

In addition, it is possible to sponsor this project via PayPal or GitHub sponsors.


Particle Swarm Optimization

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