The automatic generation of computer programs is one of the main applications with
practical relevance in the field of evolutionary computation. With program synthesis …

Evolutionary algorithm research and applications began over 50 years ago. Like other
artificial intelligence techniques, evolutionary algorithms will likely see increased use and …

Genetic Programming (GP) often uses large training sets and requires all individuals to be
evaluated on all training cases during selection. Random down-sampled lexicase selection …

Artificial Intelligence aids early diagnosis and development of new treatments, which is key
to slow down the progress of the diseases, which to date have no cure. The patients' …

This work investigates the potential for using Grammatical Evolution (GE) to generate an
initial seed for the construction of a pseudo-random number generator (PRNG) and …

The worldwide adoption of mobile devices is raising the value of Mobile Performance
Marketing, which is supported by Demand-Side Platforms (DSP) that match mobile users to …

Supervised learning by means of Genetic Programming (GP) aims at the evolutionary
synthesis of a model that achieves a balance between approximating the target function on …

Abstract Predictive Maintenance (PdM) is a critical area that is benefiting from the Industry
4.0 advent. Recently, several attempts have been made to apply Machine Learning (ML) to …

We present the Java General Evolutionary Algorithm (JGEA) framework, a modular Java
framework for experimenting with Evolutionary Computation (EC). We designed JGEA to be …

Abstract One-Class Classification (OCC) corresponds to a subclass of unsupervised
Machine Learning (ML) that is valuable when labeled data is non-existent. In this paper, we …