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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