In recent years, deep artificial neural networks (including recurrent ones) have won
numerous contests in pattern recognition and machine learning. This historical survey …

Cartesian genetic programming, a well-established method of genetic programming, is
approximately 20 years old. It represents solutions to computational problems as graphs. Its …

Artificial neural networks (ANNs) are a class of powerful machine learning models for
classification and function approximation which have analogs in nature. An ANN learns to …

A fast learning neuroevolutionary algorithm for both feedforward and recurrent networks is
proposed. The method is inspired by the well known and highly effective Cartesian genetic …

The aim of this chapter is to familiarize readers with the basics of adaptation and
hybridization in nature-inspired algorithms as necessary for understanding the main …

Genetic Programming (GP) is one of the evolutionary computation (EC) methods followed
with great interest by many researchers. When GP first appeared, it has become a popular …

Neuroevolution, the application of evolutionary algorithms to artificial neural networks
(ANNs), is well-established in machine learning. Cartesian Genetic Programming (CGP) is a …

A fast learning neuro-evolutionary technique that evolves Artificial Neural Networks using
Cartesian Genetic Programming (CGPANN) is used to detect the presence of breast cancer …

NeuroEvolution (NE) is the application of evolutionary algorithms to Artificial Neural
Networks (ANN). This paper reports on an investigation into the relative importance of …

Abstract Cartesian Genetic Programming of Artificial Neural Networks is a
NeuroEvolutionary method based on Cartesian Genetic Programming. Cartesian Genetic …