Self-Organizing Migrating Algorithm
Methodology and Implementation
Seiten
2016
|
1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-28159-9 (ISBN)
Springer International Publishing (Verlag)
978-3-319-28159-9 (ISBN)
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 | 08.10.2016 |
---|---|
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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