Particle Swarm Optimization: Method and Applications
– Randomly generated particle positions in 2-d space. – Randomly generated velocity vectors for each particle in 2-d space. – For each swarm movement (iteration), each particle (agent) matches the velocity of its nearest neighbor to provide synchrony. – Random changes in velocities (craziness) are added in each iteration
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