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Self-Organizing Migrating Algorithm: Methodology and Implementation
Hardcover
Series: Studies in Computational Intelligence, Book 626
Technology & EngineeringGeneral ComputersGeneral Mathematics
ISBN13: 9783319281599
Publisher: Springer Nature
Published: Feb 12 2016
Pages: 289
Weight: 1.34
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English
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.
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