Self-Organizing Migrating Algorithm. Methodology and Implementation.

Davendra, D. et al (Eds.)

ISBN 10: 3319281593 ISBN 13: 9783319281599
Editorial: Cham, Springer., 2016
Usado Encuadernación de tapa dura

Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania Calificación del vendedor: 4 de 5 estrellas Valoración 4 estrellas, Más información sobre las valoraciones de los vendedores

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Descripción

Descripción:

xviii, 289 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. N° de ref. del artículo 3906BB

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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.

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.  

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Detalles bibliográficos

Título: Self-Organizing Migrating Algorithm. ...
Editorial: Cham, Springer.
Año de publicación: 2016
Encuadernación: Encuadernación de tapa dura

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