Self-Organizing Migrating Algorithm (eBook, PDF)

Methodology and Implementation
Redaktion: Davendra, Donald; Zelinka, Ivan

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 289
• Erscheinungstermin: 4. Februar 2016
• Englisch
• ISBN-13: 9783319281612
• Artikelnr.: 44612560

Inhaltsangabe

PartI. Theory.- PartII. Applications.