| Title | : | Self-Organizing Migrating Algorithm |
|---|---|---|
| Author | : | Donald Davendra & Ivan Zelinka |
| Release | : | 2016-02-04 |
| Kind | : | ebook |
| Genre | : | Computers & Internet, Books, Professional & Technical, Engineering, Computers, Science & Nature, Mathematics |
| Size | : | 6279319 |
| 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. |
