On the moments of the sampling distribution of particle swarm optimisers

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). Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search General Terms Algorithms, Performance Keywords Particle Swarm Optimisation, Theory

• Type: Conference
• Year: 2007
• Where: GECCO
• Authors: Riccardo Poli
• Keywords: GECCO 2007, Particle Swarm Optimisation, Presence Stochasticity, PSO’s Sampling Distribution