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What is Particle Swarm Optimization Iterations about?

The document describes 10 iterations of a particle swarm optimization algorithm with 4 particles. In each iteration, the algorithm updates the position (Xi) and velocity (Vi) of each particle based on its previous values, personal best position (Pbest), and global best position (Gbest). Over the iterations, the particles

Author

RefkyZaheri

Language

EN