Prey-Predator Dynamics and Swarm Intelligence on a Cellular Automata Model.

A two-dimensional Cellular automata model describing a prey-predator system, where the movement of predators is modelled through Particle Swarm Optimization is presented. Simulations of the model show that density dependence is only present when the social factor of predators is low enough to allow the dispersal of individuals across the lattice of the model, or when the magnitude of the oscillations around the best position found by the swarm are large enough to allow a fast coordinated movement of particles across the cellular automaton.