Self-Organizing Migrating Algorithm: Methodology and Implementation by Donald Davendra

Self-Organizing Migrating Algorithm: Methodology and Implementation

byDonald Davendra, Ivan Zelinka

Kobo ebook | February 4, 2016

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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.

Title:Self-Organizing Migrating Algorithm: Methodology and ImplementationFormat:Kobo ebookPublished:February 4, 2016Publisher:Springer International PublishingLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319281615

ISBN - 13:9783319281612

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