Title

Self-Organizing Migrating Algorithm: Methodology and Implementation

Authors

Donald Davendra, Central Washington UniversityFollow
Ivan Zelinka, VŠB-Technical University of Ostrava

Document Type

Book

Department or Administrative Unit

Computer Science

Publication Date

2-5-2016

Abstract

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.

Comments

This book was originally published by Springer International Publishing. The ebook from the publisher can be found here.

Due to copyright restrictions, this article is not available for free download from ScholarWorks @ CWU.

Recommended Citation

Davendra D. & Zelinka I. (Eds.). (2016) Self-Organizing Migrating Algorithm: Methodology and Implementation. Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-28161-2

Rights

© Springer International Publishing Switzerland 2016