Metaheuristics in Machine Learning: Theory and Applications by Diego Oliva
English | PDF,EPUB | 2021 | 765 Pages | ISBN : 3030705412 | 130.2 MB
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.