Nature-Inspired Optimizers: Theories, Literature Reviews and Applications: 811 (Studies in Computational Intelligence) - Tapa blanda

9783030121297: Nature-Inspired Optimizers: Theories, Literature Reviews and Applications: 811 (Studies in Computational Intelligence)

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ISBN 10: 3030121291 ISBN 13: 9783030121297

Editorial: Springer, 2020

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This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

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This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others.  All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

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EditorialSpringer
A�o de publicaci�n2020
ISBN 10 3030121291
ISBN 13 9783030121297
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas256
EditorMirjalili Seyedali, Song Dong Jin, Lewis Andrew
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9783030121266: Nature-Inspired Optimizers: Theories, Literature Reviews and Applications: 811 (Studies in Computational Intelligence)

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ISBN 10: 3030121267 ISBN 13: 9783030121266
Editorial: Springer, 2019
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Nature-Inspired Optimizers

Mirjalili, Seyedali|Song Dong, Jin|Lewis, Andrew

Publicado por Springer International Publishing, 2020

ISBN 10: 3030121291 ISBN 13: 9783030121297

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Kartoniert / Broschiert. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a comprehensive tutorial on evolutionary optimizationDescribes the mathematical model each algorithm is based on Reports on several benchmark case studiesSource codes are available on a dedicated webpageThis book covers the conventi. N� de ref. del art�culo: 410368167

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Nature-Inspired Optimizers

Seyedali Mirjalili

Publicado por Springer International Publishing Okt 2020, 2020

ISBN 10: 3030121291 ISBN 13: 9783030121297

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage. 256 pp. Englisch. N� de ref. del art�culo: 9783030121297

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Nature-Inspired Optimizers : Theories, Literature Reviews and Applications

Seyedali Mirjalili

Publicado por Springer International Publishing, Springer International Publishing, 2020

ISBN 10: 3030121291 ISBN 13: 9783030121297

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage. N� de ref. del art�culo: 9783030121297

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Nature-Inspired Optimizers: Theories, Literature Reviews and Applications (Studies in Computational Intelligence)

Publicado por Springer, 2020

ISBN 10: 3030121291 ISBN 13: 9783030121297

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Nature-Inspired Optimizers: Theories, Literature Reviews and Applications (Studies in Computational Intelligence)

Publicado por Springer, 2020

ISBN 10: 3030121291 ISBN 13: 9783030121297

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Nature-Inspired Optimizers

Seyedali Mirjalili

Publicado por Springer International Publishing, Springer International Publishing Okt 2020, 2020

ISBN 10: 3030121291 ISBN 13: 9783030121297

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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Neuware -This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 256 pp. Englisch. N� de ref. del art�culo: 9783030121297

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