Particle swarm optimization

As a particle swarm optimization (PSO ) is a natural analog optimization method is referred to in the computer science that seeks a solution to an optimization problem according to the model of the biological swarm behavior. Analogous to the natural phenomenon, a population of candidate solutions is moved through the search space in order to get a good solution to the problem. In each computation step, the position of each individual is recalculated so. The PSO is a metaheuristic, it was proposed in 1995 by Kennedy and Eberhart.