Computer vision (CV) is a big and important field in artificial intelligence covering a wide
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …

Abstract Evolutionary Ensemble Learning (EEL) provides a general approach for scaling
evolutionary learning algorithms to increasingly complex tasks. This is generally achieved …

Swarm intelligence has become a hot research field of artificial intelligence. Considering the
importance of swarm intelligence for the future development of artificial intelligence, we …

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 …

Fuzzing is an automated software testing technique broadly adopted by the industry. A
popular variant is mutation-based fuzzing, which discovers a large number of bugs in …

Genetic Programming (GP) has been used in a variety of fields to learn the relationships
between physical measurements of real-world problems. In this article, we combine different …

Dimensionality reduction (DR) is to obtain meaningful low-dimensional representation
concealed within high-dimensional data. Genetic programming (GP) has been used to …

We present SLUG, a recent method that uses genetic algorithms as a wrapper for genetic
programming and performs feature selection while inducing models. SLUG was shown to be …

We introduce TurboGP, a Genetic Programming (GP) library fully written in Python and
specifically designed for machine learning tasks. TurboGP implements modern features not …

In this paper, we introduce an inverse kinematics model for a robotic manipulator using
Genetic Programming (GP). The underlying problem requires learning of multiple joint …