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Books > Computing & IT > Applications of computing > Artificial intelligence

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Self-Organizing Migrating Algorithm - Methodology and Implementation (Hardcover, 1st ed. 2016) Loot Price: R3,623

Discovery Miles 36 230

Repayment Terms: R340 pm x 12*

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Self-Organizing Migrating Algorithm - Methodology and Implementation (Hardcover, 1st ed. 2016): Donald Davendra, Ivan Zelinka

Self-Organizing Migrating Algorithm - Methodology and Implementation (Hardcover, 1st ed. 2016)

Donald Davendra, Ivan Zelinka

Series: Studies in Computational Intelligence, 626

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List price ~~R3,905~~ Loot Price R3,623 Discovery Miles 36 230 | Repayment Terms: R340 pm x 12* You Save R282 (7%)

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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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 626
Release date:	February 2016
First published:	2016
Editors:	Donald Davendra • Ivan Zelinka
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover
Pages:	289
Edition:	1st ed. 2016
ISBN-13:	978-3-319-28159-9
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-28159-3
Barcode:	9783319281599