Welcome to BeeOptimal’s Documentation 🐝🍯

BeeOptimal is a Python package that implements the Artificial Bee Colony (ABC) algorithm, a nature-inspired optimization technique designed to solve complex optimization problems efficiently. Whether you are tackling high-dimensional search spaces, multi-modal objective functions, or simply need a reliable optimizer, BeeOptimal offers a user-friendly and customizable solution for your needs.

This documentation provides installation instructions and API details, as well as tutorials and examples to help you get started with the package.

Getting Started

• About
• Installation

API Reference

• ArtificialBeeColony
• Bee
• Benchmarks
• Plotting

Tutorials

• Tutorial 1: introduction to BenchmarkFunction class
• Tutorial 2: ready-to-use benchmarks and visualization
• Tutorial 3: solving your first optimization problem with ABC
• Tutorial 4: visualizing bees
• Tutorial 5: ABC for image reconstruction

References

• References