Self-Organizing Migrating Algorithm

Methodology and Implementation

Donald Davendra, Ivan Zelinka (Herausgeber)

Buch | Softcover

XVIII, 289 Seiten

2018 | 1. Softcover reprint of the original 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-80286-2 (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	18.06.2018
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
Gewicht	474 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Algebra
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Technik
Schlagworte	Computational Intelligence • evolutionary algorithms • evolutionary computation • Metaheuristics • Optimization • Swarm intelligence
ISBN-10	3-319-80286-0 / 3319802860
ISBN-13	978-3-319-80286-2 / 9783319802862
Zustand	Neuware