Self-Organizing Migrating Algorithm

Methodology and Implementation

By: Donald Davendra (Editor), Ivan Zelinka (Editor)

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Paperback | 30 March 2018

At a Glance

Paperback
308 Pages

Dimensions(cm)
23.5 x 15.5 x 1.65

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$169.00

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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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