PySwarms
development

General

  • Introduction
  • Features
  • Installation
  • Credits
  • History

Examples

  • Tutorials
  • Use-cases
    • Feature Subset Selection
    • Solving the Inverse Kinematics problem using Particle Swarm Optimization

Developer's Guide

  • Contributing
  • Understanding the PySwarms API
  • Writing your own optimization loop
  • Contributing your own optimizer

API Documentation

  • Backend
  • Base Classes
  • Optimizers
  • Utilities
PySwarms
  • Docs »
  • Use-cases
  • Edit on GitHub

Use-casesΒΆ

Below are some examples on how to use PSO in different applications. If you wish to check the actual Jupyter Notebooks, please go to this link

  • Feature Subset Selection
    • A short primer on feature selection
      • Feature selection and the objective function
      • Generating a toy dataset using scikit-learn
    • Writing the custom-objective function
    • Using Binary PSO
  • Solving the Inverse Kinematics problem using Particle Swarm Optimization
    • Introduction
    • IK as an Optimization Problem
      • Initializing the Swarm
      • Finding the global optimum
    • Preparations
    • Running the algorithm
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© Copyright 2017, Lester James V. Miranda Revision 323cfe1b.

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