Particle Swarm Optimization (PSO) - An Evolutionary Computation Technique

Particle Swarm Optimization (PSO) is an evolutionary computation technique co-invented by Dr. Eberhart and Dr. Kennedy. Inspired by studies of bird flock predation behavior, PSO is similar to Genetic Algorithms as an iteration-based optimization tool. Implementation typically involves initializing particle positions/velocities, updating particle velocities based on personal and global best positions using inertia weights, and iteratively converging toward optimal solutions through social learning mechanisms.