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documentation and examples for PySwarms

PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python.

It is intended for swarm intelligence researchers, practitioners, and students who prefer a high-level declarative interface for implementing PSO in their problems. PySwarms enables basic optimization with PSO and interaction with swarm optimizations.

Features:

  * High-level module for Particle Swarm Optimization
  * Built-in objective functions to test optimization algorithms
  * Plotting environment for cost histories and particle movement
  * Hyperparameter search tools to optimize swarm behaviour

This package contains the documentation and examples for PySwarms.

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