In recent work, the state-of-the-art cooperative coevolutionary
paradigm has been tailored to handle classification tasks.
Problems that are solved by means of a cooperative coevolutionary
technique have to be decomposed into several components.
Cooperative coevolution implies the use of several populations,
each population having the aim of finding the solution for a
component of the considered problem. Populations evolve separately
and they interact only when individuals are evaluated.
Interactions are made with the aim of obtaining complete solutions
by collecting individuals from each of the populations. In this
respect, there are several ways of selecting the individuals from
each population. In present paper, a classification problem is
thus considered and the main task is to determine the optimum
choice for the collaborator selection pressure parameter, i.e. the
way the individuals are selected from each population in order to
form complete solutions.