Brain Storm Optimization Algorithms: Concepts, Principles and Applications: 23 (Adaptation, Learning, and Optimization) - Tapa blanda

Libro 10 de 12: Adaptation, Learning, and Optimization
 
9783030150723: Brain Storm Optimization Algorithms: Concepts, Principles and Applications: 23 (Adaptation, Learning, and Optimization)
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ISBN 10: 3030150720 ISBN 13: 9783030150723
Editorial: Springer, 2020

Sinopsis

Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been conducted. They not only offer an optimization method, but could also be viewed as a framework of optimization techniques. The process employed in the algorithms could be simplified as a framework with two basic operations: the converging operation and the diverging operation. A "good enough" optimum could be obtained through recursive solution divergence and convergence. The resulting optimization algorithm would naturally have the capability of both convergence and divergence.

This book is primarily intended for researchers, engineers, and graduate students with an interest in BSO algorithms and their applications. The chapters cover various aspects of BSO algorithms, and collectively provide broad insights into what these algorithms have to offer. The book is ideally suited as a graduate-level textbook, whereby students may be tasked with the study of the rich variants of BSO algorithms that involves a hands-on implementation to demonstrate the utility and applicability of BSO algorithms in solving optimization problems.   
 

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

De la contraportada

Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been conducted. They not only offer an optimization method, but could also be viewed as a framework of optimization techniques. The process employed in the algorithms could be simplified as a framework with two basic operations: the converging operation and the diverging operation. A “good enough” optimum could be obtained through recursive solution divergence and convergence. The resulting optimization algorithm would naturally have the capability of both convergence and divergence.

This book is primarily intended for researchers, engineers, and graduate students with an interest in BSO algorithms and their applications. The chapters cover various aspects of BSO algorithms, and collectively provide broad insights into what these algorithms have to offer. The book is ideally suited as a graduate-level textbook, whereby students may be tasked with the study of the rich variants of BSO algorithms that involves a hands-on implementation to demonstrate the utility and applicability of BSO algorithms in solving optimization problems.   
 

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

Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
3030150720
ISBN 13 
9783030150723
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
316
Editor
Cheng Shi, Shi Yuhui
Contacto del fabricante
no disponible
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ProductSafety@springernature.com
ProductSafety@springernature.com

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Otras ediciones populares con el mismo título

9783030150693: Brain Storm Optimization Algorithms: Concepts, Principles and Applications: 23 (Adaptation, Learning, and Optimization, 23)

Edición Destacada

ISBN 10:  3030150690 ISBN 13:  9783030150693
Editorial: Springer, 2019
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