Self-Organizing Migrating Algorithm Methodology and Implementation /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Davendra, Donald (Επιμελητής έκδοσης), Zelinka, Ivan (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: Studies in Computational Intelligence, 626
• Θέματα: Engineering.; Artificial intelligence.; Mathematical optimization.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Optimization.
• Φυσική περιγραφή: XVIII, 289 p. 128 illus., 41 illus. in color. online resource.
• ISBN: 9783319281612
• ISSN: 1860-949X ;

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. .