PySwarm

PySwarm

Particle Swarm Optimization (PSO) for Python

Tests Documentation Ruff

codecov Quality Gate Status License: BSD-3

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pyswarm is a gradient-free, evolutionary optimization library for Python that implements Particle Swarm Optimization (PSO) with built-in support for constraints. It is lightweight, easy to use, and suitable for a wide range of optimization problems where gradient information is unavailable or impractical to compute.

Quick example

from pyswarm import pso


def objective(x):
    x1, x2 = x
    return x1**4 - 2 * x2 * x1**2 + x2**2 + x1**2 - 2 * x1 + 5


lb = [-3, -1]
ub = [2, 6]

result = pso(objective, lb, ub)

print("Optimal solution:", result.x)  # → [1.0, 1.0]
print("Function value:", result.fun)  # → 4.0
print("Converged:", result.success)
print("Reason:", result.message)
print("Iterations:", result.nit)
print("Evaluations:", result.nfev)

pso returns an OptimizeResult — a dict subclass with attribute access, compatible with scipy.optimize.OptimizeResult.

Installation

pip install pyswarm

Requires Python 3.10+ and NumPy. See the full installation guide for uv, poetry, and source builds.

Documentation

License

BSD-3-Clause — see LICENSE.

Project links

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2 maintainers

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Credits

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Maintainer: Saud Zahir

Author: Abraham Lee

GitHub Statistics

Data verified by PyPI on Aug 19, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

BSD-3-Clause
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Requires

Python >=3.10

Tags

particle swarm optimization python

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1.0.1 This release

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