Self-Organizing Migrating Algorithm

Methodology and Implementation

Donald Davendra, Ivan Zelinka (Herausgeber)

Buch | Hardcover
XVIII, 289 Seiten
2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-28159-9 (ISBN)

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This book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners. 

As the first ever book on SOMA, this book isgeared towards graduate students, academics and researchers, who are looking fora good optimization algorithm for their applications. This book presents themethodology of SOMA, covering both the real and discrete domains, and itsvarious implementations in different research areas. The easy-to-follow andimplement methodology used in the book will make it easier for a reader toimplement, modify and utilize SOMA.

PartI. Theory.- PartII. Applications.

Erscheinungsdatum
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XVIII, 289 p. 128 illus., 87 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik
Schlagworte artificial intelligence (incl. robotics) • Computational Intelligence • Engineering • evolutionary algorithms • evolutionary computation • Metaheuristics • Optimization • Swarm intelligence
ISBN-10 3-319-28159-3 / 3319281593
ISBN-13 978-3-319-28159-9 / 9783319281599
Zustand Neuware
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