Stable adaptive Particle Swarm Optimization

Abstract

Using discrete-time adaptive control tools found in literature, we develop an adaptive particle swarm optimizer. We show, using Lyapunov's direct method, that our devised error system is ultimately uniformly bounded, ultimately goes to zero by Lasalle-Yoshizawa theorem, and our optimizer is stable.