Swarm Seek

Swarm Seek is a Python library for Artificial Bee Colony (ABC) optimization with citation-linked variants (Original, GABC, qABC, MABC), a NumPy execution core, an ask/tell API, and literature-oracle regression tests.

Version 0.1.1 (beta) ships the continuous core API; see Quickstart and the examples/ notebooks.

Contents

• Installation
  • From PyPI
  • From a clone
  • Backend selection
• Quickstart
  • Ask/tell loop
  • Examples
• ABC variants
  • Variant-specific parameters
  • Literature oracles
• Architecture
  • Layer dependency rule
  • Public vs power-user API
  • Ask/tell contract
• API reference
  • Public root
  • Façade
  • Space
  • Integrations (optional extras)
  • Types
  • Benchmarks
  • Power-user colony
• Limitations
  • Current release (0.2.0)
  • Non-goals
• FAQ
  • How is Swarm Seek different from ECabc?
  • Why not use MEALPY or NiaPy?
  • Which variant should I start with?
  • How do literature oracles work?

Indices and tables

• Index

• Module Index

• Search Page