Using Small-World Model to Improve the Performance of Alignment Particle Swarm Optimization

Abstract

Alignment particle swarm optimization (APSO) is a novel variant of particle swarm optimization aiming to improve the population diversity. The topology structure of APSO is gbest model. Since the small-world model is more suit for the natural animal communication network, in this paper, it is incorporated into the methodology of APSO to further improve the performance. Simulation results show this strategy may provide well balance between exploration and exploitation capabilities.