On the Particle Swarm Optimization Control Using Analytic Programming and Self Organizing Migrating Algorithm

This article deals with the feedback control of system which contains randomness. As such system particle swarm optimization algorithm was selected. With some parameters setup, the particle swarm optimization algorithm does not converge to a single point, but particles are moving over the searching space. They oscillate and behave chaotically. This article looks at this problem from the time delay feedback control perspective. The selected particles are controlled to a stable point by adding small perturbations to the particle position. For the perturbation estimation, the analytic programming and self-organizing algorithm were used.