torch-pso 0.0.1

Particle Swarm Optimization using the torch.optim API.

Torch PSO

Particle Swarm Optimization is an optimization technique that iteratively attempts to improve a list of candidate solutions. Each candidate solution is called a "particle", and collectively they are called a "swarm". In each step of the optimization, each particle moves in a random directly while simultaneously being pulled towards the other particles in the swarm. A simple introduction to the algorithm can be found on its Wikipedia article.

This package implements the Particle Swarm Optimization using the PyTorch Optimizer API, making it compatible with most pre-existing Torch training loops.

Installation

TODO: Write installation instructions for PyPI