  In this work we present a new bio-inspired method (using an adapted, frog
based Particle Swarm Optimization) that can track a skyrmion's position. The
structure and position of skyrmions in a given system is usually determined
either by visual impression through a vector plot, or by averaging over
magnetization and topological charge. Due to the inherent difficulty of
acquiring this information in discrete systems, and also in systems with finite
boundaries, we present a method which is able to reliably track a wide array of
different topological structures, while also providing additional data about
internal degrees of freedom, in both stationary and dynamic cases.
