Self-Organizing Migrating Algorithm: Methodology and Implementation

ISBN-13: 9783319802862 / Angielski / Miękka / 2018 / 289 str.

Donald Davendra; Ivan Zelinka

Spis treści

Part I. Theory.- Part II. Applications.

Blurb

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.