Self-Organizing Migrating Algorithm: Methodology and Implementation

丛 书 名：Studies in Computational Intelligence

版本说明：1

作     者：Donald Davendra, Ivan Zelinka (eds.) 

I S B N：(纸本) 9783319281599;9783319281612 

出 版 社：Springer International Publishing 

出 版 年：2016年

摘      要：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.