Welcome to StarPSO’s documentation!

StarPSO is a research toolkit for particle swarm optimization algorithms. Using a fully object-oriented paradigm it provides a set of classes that can be used to solve general purpose optimization problems (constrained and unconstrained).

• Free software: GNU GPL Version 3

• Github repository: https://github.com/vrettasm/PyStarPSO

• Python version(s): 3.10+

• Python dependencies: NumPy, JobLib, Numba, Scipy

Contents

• PyStarPSO
• Examples

Indices and tables

• Index

• Module Index

• Search Page