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"item_title" : "Self-Organizing Migrating Algorithm",
"item_author" : [" Donald Davendra", "Ivan Zelinka "],
"item_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.",
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Self-Organizing Migrating Algorithm : Methodology and Implementation
by Donald Davendra and Ivan Zelinka
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9783319281599
- ISBN-10: 3319281593
- Publisher: Springer
- Publish Date: February 2016
- Dimensions: 9.21 x 6.14 x 0.75 inches
- Shipping Weight: 1.34 pounds
- Page Count: 289
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