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图书名称：Self-Organizing Migrating Algorithm: Methodology and Implementation
作者：Donald Davendra, Ivan Zelinka
出版社： Springer International Publishing
页数：294
出版时间：2016                           
语言：English
格式：pdf
内容简介：
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.

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