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Buch, Englisch, 289 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 470 g
Methodology and Implementation
Buch, Englisch, 289 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 470 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-319-80286-2
Verlag: Springer
This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners.
As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
Part I. Theory.- Part II. Applications.
