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Seminar | 19 marzo 2024

Genetic algorithms: the evolutionary approach to optimization problems

Brescia

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.

Filename
Locandina Algoritmi Genetici.pdf
Size
168 KB
Format
application/pdf
Poster
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