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Metaheuristics in Machine Learning: Theory and Applications - Studies in Computational Intelligence 2021 edition
Metaheuristics in Machine Learning: Theory and Applications - Studies in Computational Intelligence
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.
769 pages, 226 Illustrations, color; 77 Illustrations, black and white; XIV, 769 p. 303 illus., 226
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | July 15, 2022 |
| ISBN13 | 9783030705442 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 769 |
| Dimensions | 150 × 220 × 10 mm · 1.08 kg |
| Language | German |
| Editor | Hinojosa, Salvador |
| Editor | Houssein, Essam H. |
| Editor | Oliva, Diego |