Self-Organizing Migrating Algorithm: Methodology and Implementation

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.\n\nAs 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.Self-Organizing Migrating Algorithm: Methodology and Implementation is written by Donald Davendra and published by Springer. ISBNs for Self-Organizing Migrating Algorithm are 9783319281612, 3319281615 and the print ISBNs are 9783319281599, 3319281593.