Altbacken Documentation

Welcome to the documentation for Altbacken, a modular simulated‑annealing framework for Python. This site contains detailed usage instructions, API reference material, and guides for extending the library.

Contents

• Quick Start
• Examples
  • Sorting example
  • Rastrigin test function for optimization algorithms
  • Numpy Example
  • Traveling Salesman Problem
  • Graph Example
• Neighbourhoods
  • Vector Neighbourhood
  • Integer Vector Neighbourhood
  • Array Neighbourhood
  • Adaptive Epsilon
  • Permutation Neighbourhood
  • Custom Neighbourhoods
• Stop conditions
  • Solution based stop conditions
  • Time based stop conditions
  • Temperature based stop conditions
  • Special stop conditions
• Cooling Schemes
  • Why Cooling Schemes are Important
  • Linear Cooling
  • Exponential Cooling
  • Logarithmic Cooling
  • Cosine Annealing
  • Adaptive Cooling
  • Predefined Temperature
• Tracers
  • Definition
  • Usage
  • Function-Based Tracers
  • Object-Based Tracers
  • Customization
  • DataFrameTracer
  • ShowcasePlot
• API Reference
  • altbacken.core.annealing
  • altbacken.core.state
  • altbacken.external.annealing
  • altbacken.internal.neighbourhood.adaptive
  • altbacken.external.neighbourhood.numeric
  • altbacken.external.temperature
  • altbacken.external.stop
  • altbacken.external.acceptance

Indices and Tables

• Index

• Module Index

• Search Page