A method is presented that allows one to exactly determine all the characteristics of a PSO's sampling distribution and explain how it changes over time, in the presence stochasticity. The only assumption made is stagnation (particles are in search for a better personal best).
['Riccardo Poli']
On the moments of the sampling distribution of particle swarm optimisers