The Boids algorithm, conceived by Craig Reynolds in 1986, is renowned for simulating flocking behaviors observed in nature, primarily among birds, fish, and insect swarms. This algorithm employs three fundamental rules to replicate collective behavior: Separation minimizes collision chances, Alignment adjusts movement direction based on nearby entities, and Cohesion brings individuals closer to each other. This simple rule set can generate complex group dynamics.

Applications of Boids include realistic animation in computer graphics, behavior modeling in robotics, traffic management, and more. Additionally, the algorithm has given rise to other swarm intelligence methods like Particle Swarm Optimization (PSO).

Parameter tuning is crucial for Boids. Key parameters include cohesionWeight and cohesionDist for attraction, separationWeight and separ...
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