Introduces
Daniele TESSERA
Università Cattolica del Sacro Cuore
Intervenes
Luca ZANUSSI
Ph.D. student, Department of Electrical, Computer and Biomedical Engineering of the University of Pavia
Abstract
Genetic Algorithms (GAs) are powerful and versatile tools in the field of computational optimization. Inspired by the principles of natural selection and genetic inheritance, GAs offer a unique approach to solving complex optimization problems. In this seminar, the fundamental concepts underlying genetic algorithms will be discussed, including population-based research, selection mechanisms, crossover and mutation operators. We'll look at how GAs can address a wide range of optimization challenges, from scheduling issues to the selection of machine learning models. We will conclude with a practical demonstration and tools to start projects with genetic algorithms.
