Self-Organizing Migrating Algorithm: Methodology and Implementation (Studies in Computational Intelligence) by Donald Davendra and Ivan Zelinka
English | 2016 | ISBN: 3319281593 | 289 pages | PDF | 12 MB
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.