Self-Organizing Migrating Algorithm: Methodology and Implementation: 626 (Studies in Computational Intelligence) - Tapa dura

Libro 146 de 538: Studies in Computational Intelligence
 
9783319281599: Self-Organizing Migrating Algorithm: Methodology and Implementation: 626 (Studies in Computational Intelligence)

Sinopsis

This book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners. 

As the first ever book on SOMA, this book isgeared towards graduate students, academics and researchers, who are looking fora good optimization algorithm for their applications. This book presents themethodology of SOMA, covering both the real and discrete domains, and itsvarious implementations in different research areas. The easy-to-follow andimplement methodology used in the book will make it easier for a reader toimplement, modify and utilize SOMA.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

This book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners. 

As the first ever book on SOMA, this book isgeared towards graduate students, academics and researchers, who are looking fora good optimization algorithm for their applications. This book presents themethodology of SOMA, covering both the real and discrete domains, and itsvarious implementations in different research areas. The easy-to-follow andimplement methodology used in the book will make it easier for a reader toimplement, modify and utilize SOMA.  

"Sobre este título" puede pertenecer a otra edición de este libro.

Otras ediciones populares con el mismo título

9783319802862: Self-Organizing Migrating Algorithm: Methodology and Implementation: 626 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  3319802860 ISBN 13:  9783319802862
Editorial: Springer, 2018
Tapa blanda