This thesis is concerned with leveraging the power of evolutionary computation to find structure or models within complex datasets. We opt for a data-centric approach to this issue, paying particular (but not exclusive) ...

The merit of Evolutionary Algorithms (EAs) as a means of automatic problem solving has been demonstrated numerous times on a diverse set of problem types across a range of different domains. The central hypothesis of this ...

The central hypothesis of this thesis is that it is possible to use a supervised machine learning technique, Genetic Programming (GP), to make accurate predictions and estimations regarding the endurance and retention ...