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商品詳細
Self-Organizing Migrating Algorithm: Methodology and Implementation. Softcover reprint of the original 1st ed. 2016
・ISBN 978-3-319-80286-2 paper EUR 99.99
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| 著者・編者 | Davendra, Donald / Zelinka, Ivan (eds.), |
|---|---|
| シリーズ | (Studies in Computational Intelligence) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2018 |
| ページ数 | 289 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-76669＞ |
解説
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.