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

ISBN 10: 3030150720 ISBN 13: 9783030150723

Editorial: Springer, 2020

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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.

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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.

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T�tulo: Brain Storm Optimization Algorithms: ...
Editorial: Springer
A�o de publicaci�n: 2020
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Brain Storm Optimization Algorithms

Cheng, Shi|Shi, Yuhui

Publicado por Springer International Publishing, 2020

ISBN 10: 3030150720 ISBN 13: 9783030150723

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the latest advances in Brain Storm Optimization (BSO) algorithms&nbsp &nbspShares new ideas and outlines future directions of developmentPresents various concepts, principles and a. N� de ref. del art�culo: 448673626

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

Publicado por Springer, 2020

ISBN 10: 3030150720 ISBN 13: 9783030150723

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Brain Storm Optimization Algorithms

Shi Cheng

Publicado por Springer International Publishing, Springer Nature Switzerland Aug 2020, 2020

ISBN 10: 3030150720 ISBN 13: 9783030150723

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Taschenbuch. Condici�n: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 316 pp. Englisch. N� de ref. del art�culo: 9783030150723

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Brain Storm Optimization Algorithms : Concepts, Principles and Applications

Yuhui Shi

Publicado por Springer International Publishing, 2020

ISBN 10: 3030150720 ISBN 13: 9783030150723

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de ref. del art�culo: 9783030150723

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Brain Storm Optimization Algorithms

Yuhui Shi

Publicado por Springer International Publishing Aug 2020, 2020

ISBN 10: 3030150720 ISBN 13: 9783030150723

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 316 pp. Englisch. N� de ref. del art�culo: 9783030150723

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