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Swarm Intelligence Algorithms & Frameworks: PSO, ACO, ABC, Libraries & Swarm Robotics

Swarm intelligence — the main algorithms, open-source optimization frameworks, swarm robotics and simulation tools, and learning resources.

65 topics•6 categories•Updated October 2026

Concepts & Foundations

9 entries

What swarm intelligence is and where it comes from.

Core Swarm Algorithms

12 entries

The best-known methods.

Python Libraries

15 entries

Open-source optimization toolkits.

Java, MATLAB, R & Julia Frameworks

10 entries

Tools beyond Python.

Swarm Robotics & Simulation

11 entries

Physical and simulated swarms.

Related Pages

8 entries

Neighbouring pages on this site.

Frequently Asked Questions

What is swarm intelligence?

The collective, decentralised behaviour of many simple agents, such as ants, bees, birds or robots, that produces intelligent group results without central control.

Which swarm algorithm should I use?

Particle swarm optimization is the usual start for continuous problems; ant colony optimization suits routing and combinatorial problems; try several through MEALPY, Nevergrad or NiaPy and compare on your own objective.

Which libraries are good for beginners?

PySwarms for PSO, scikit-opt for a compact set of algorithms, and DEAP or Nevergrad for broader evolutionary work.

How does this relate to AI agent swarms?

Swarm intelligence supplies the ideas of decentralised coordination; LLM agent swarm frameworks apply similar patterns to AI agents, covered on the AI Agent Swarm Frameworks page.

How current is this list?

Links were checked in October 2026. Sites that block automated checks are kept and may need a manual click.