Studies in Computational Intelligence: Methodology and Implementation

Davendra, Donald; Zelinka, Ivan

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.

Details

Published by: Springer

Publication Date: 2016-02-12

Format: Hardcover

ISBN-13: 9783319281599

DOI: 10.1007/978-3-319-28161-2

Dimensions: 235cm x155cm

Pages: 289