Representation of the particle swarm optimization algorithm. Each particle (here, a bird) stores its current, best previous, and best neighbor positions (red circle, green arrow, blue arrow) in the search space, then undergoes velocity vector updates (to dashed red circle).
From the article:
Differential Evolution for Many-Particle Adaptive Quantum MetrologyNeil B. Lovett, Cécile Crosnier, Martí Perarnau-Llobet, and Barry C. Sanders
Phys. Rev. Lett. 110, 220501 (2013)
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