This paper shows empirically that Fuzzy Pattern Trees (FPT) evolved using Grammatical
Evolution (GE), a system we call FGE, meet the criteria to be considered a robust …

Fuzzy pattern trees evolved using grammatical evolution, a system we call Fuzzy
Grammatical Evolution, are shown to be a robust Explainable Artificial Intelligence …

A novel approach to induce Fuzzy Pattern Trees using Grammatical Evolution is presented
in this paper. This new method, called Fuzzy Grammatical Evolution, is applied to a set of …

AutoGE (Automatic Grammatical Evolution) is a tool designed to aid users of GE for the
automatic estimation of Grammatical Evolution (GE) parameters, a key one being the …

A key ingredient in any successful genetic programming is robust initialisation. Many
successful initialisation methods used in genetic programming have been adapted to use …

This paper introduces a novel approach to induce Fuzzy Pattern Trees (FPT) using
Grammatical Evolution (GE), FGE, and applies to a set of benchmark classification problems …

Abstract Feature Encapsulation by Stages (FES) is a recently proposed mechanism that can
be implemented in any Evolutionary Computation (EC) metaheuristic. Encapsulation occurs …

This paper introduces a novel mechanism, Feature Encapsulation by Stages (FES), to
encapsulate and transfer features as knowledge in a staged manner within the evolutionary …

Robust initialisation has shown to greatly improve the performance of genetic programming
on a wide variety of tasks. Many of these have been adapted to work with grammatical …

Linear scaling has greatly improved the performance of genetic programming when
performing symbolic regression. Linear scaling transforms the output of an expression to …