Nature-Inspired Optimizers: Theories, Literature Reviews and Applications

Nature-Inspired Optimizers: Theories, Literature Reviews and Applications This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage. Autor: Seyedali Mirjalili, Jin Song Dong Wydawnictwo: Springer Rok wydania: 2019 Okładka: twarda Liczba stron: 238 Wymiary: 15.5 x 23.5 x 1.6 cm Ilustracje: 101 Illustrations, color; 7 Illustrations, black and white; XVI, 238 p. 108 illus., 101 illus. in color. Język: angielski ISBN: 9783030121266