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Self-Organizing Migrating Algorithm: Methodology and Implementation

Edited by Donald Davendra, Edited by Ivan Zelinka

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normal price: R 4 534.95

Price: R 4 307.95


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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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Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Springer International Publishing AG
Published date | 12 Feb 2016
Language |
Format | Hardback
Pages | 289
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-3192-8159-9
Readership Age |
BISAC | computers / artificial intelligence


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