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Автор: Diego Oliva, Essam H. Houssein, Salvador Hinojosa
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 765
Размер: 19 Mb
Язык: English
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.