Proposal for Parameter Selection of the Vortex Particle Swarm Optimization during the Dispersion Stage

This paper presents the parameter selection for the optimization algorithm Vortex Particle Swarm Optimization (VPSO). The optimization algorithm switches between translational (convergence) and vortex (dispersion) behavior of the swarm to achieve a good exploration of the search space and avoid getting trapped in local minima. This proposal is based on living organism strategies such as foraging and predator avoidance. The selection of parameters is proposed based on an approximate analysis of the swarm behavior.