Show & Tell: Phase 32.4 — SwarmCoordinator

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Show & Tell: Phase 32.4 — SwarmCoordinator

What it does

The SwarmCoordinator implements emergent, decentralized coordination using swarm intelligence algorithms — ant colony optimization, particle swarm optimization, stigmergic communication, and Reynolds flocking.

Key highlights

• Ant Colony Optimization — Pheromone-based trail laying with MAX-MIN bounds and evaporation dynamics
• Particle Swarm Optimization — Velocity-position updates with inertia weight and constriction factor variants
• Stigmergy — Digital pheromone fields with decay, reinforcement, and spatial diffusion
• Flocking — Reynolds boid rules (separation, alignment, cohesion) with obstacle avoidance
• Response Thresholds — Emergent task specialization through Bonabeau et al. (1996) threshold model
• Swarm Metrics — Order parameters, diversity indices, phase transition detection

Architecture

SwarmCoordinator
├── ACOEngine            — Ant construction, pheromone update, MAX-MIN bounds
├── PSOEngine            — Particle velocity/position, neighborhood topologies
├── StigmergicField      — Pheromone grids with decay/diffusion
├── FlockingController   — Boid rules + formation control
├── ThresholdModel       — Response threshold self-organization
└── SwarmAnalyzer        — Metrics, pattern detection, phase transitions

References

• Issue: Phase 32.4 — SwarmCoordinator: Emergent swarm intelligence with ACO, PSO & stigmergic coordination #678
• Planning: Phase 32 Planning — Multi-Agent Collaboration & Collective Intelligence #674
• Bonabeau, Dorigo & Theraulaz (1999) — Swarm Intelligence
• Dorigo & Stuetzle (2004) — Ant Colony Optimization
• Kennedy & Eberhart (1995) — Particle Swarm Optimization