Studying the optimal parameter range of values in PADGP by means of real-life problems
F.V. Fernández, Marco Tomassini · 2002
We present a study on a couple of real-life problems using Parallel and Distributed Genetic Programming (PADGP). The aim is to confirm the presence of an optimal parameter range of values, which has been observed on benchmark problems. This range of values establishes a relationship between two important parameters in PADGP: the number of individuals and the total number of subpopulations we use when solving a problem. The simulations presented confirm the existence of the optimal parameter range of values which allows us to extend conclusions about the existence of this region for different classes of problems, and thus to link different PADGP and also GP parameters.