| Self-Organizing Migrating Algorithm: Methodology and Implementation 2016 Edition Contributor(s): Davendra, Donald (Editor), Zelinka, Ivan (Editor) |
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ISBN: 3319281593 ISBN-13: 9783319281599 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: February 2016 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Mathematics | Applied - Technology & Engineering | Engineering (general) |
| Dewey: 006.3 |
| Series: Studies in Computational Intelligence |
| Physical Information: 0.75" H x 6.14" W x 9.21" (1.34 lbs) 289 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |