Self-Organizing Migrating Algorithm
. Ed(S): Davendra, Donald; Zelinka, Ivan
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Description for Self-Organizing Migrating Algorithm
Hardback. Editor(s): Davendra, Donald; Zelinka, Ivan. Series: Studies in Computational Intelligence. Num Pages: 307 pages, 87 black & white illustrations, 41 colour illustrations, biography. BIC Classification: PBU; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 625.
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, ... Read more
Show LessProduct Details
Format
Hardback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
307
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
289
Place of Publication
Cham, Switzerland
ISBN
9783319281599
SKU
V9783319281599
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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