In this review article, we provide a comprehensive guide to the endeavor of problem
decomposition within the field of Genetic Programming (GP), specifically tree-based GP for …

We investigate the use of Genetic Programming (GP) as a convolutional predictor for
missing pixels in images. The training phase is performed by sweeping a sliding window …

This chapter introduces the basic concepts of evolutionary computation. It briefly introduces
representative evolutionary computation techniques, then describes the basics of genetic …

In this paper we compare the performance of variants of Genetic Programming (GP) typically
used for high dimensional machine learning problems. First we propose a taxonomy based …

Image classification is an important and fundamental task in computer vision and machine
learning. The task is to classify images into one of some pre-defined groups based on the …

Evolutionary deep learning is a research field aiming at using evolutionary computation
techniques to address existing issues such as requiring rich expertise to design the model …