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9783030121297: Nature-Inspired Optimizers: Theories, Literature Reviews and Applications

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ISBN 10 : 3030121291 ISBN 13 : 9783030121297

Editeur : 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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�diteur: Springer
Date d'�dition: 2020
Langue: anglais
ISBN 10: 3030121291
ISBN 13: 9783030121297
Reliure: Broch�
Nombre de pages: 256
�diteur: Mirjalili Seyedali, Song Dong Jin, Lewis Andrew
Coordonn�es du fabricant: non disponible
Personne responsable: CMN Printpool Inh. Mathis Neumann
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9783030121266: Nature-Inspired Optimizers

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Nature-Inspired Optimizers

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

Edit� par Springer International Publishing, 2020

ISBN 10 : 3030121291 ISBN 13 : 9783030121297

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Etat : 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 r�f. du vendeur 410368167

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

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ISBN 10 : 3030121291 ISBN 13 : 9783030121297

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Nature-Inspired Optimizers : Theories, Literature Reviews and Applications

Seyedali Mirjalili

Edit� par Springer International Publishing, Springer International Publishing, 2020

ISBN 10 : 3030121291 ISBN 13 : 9783030121297

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Taschenbuch. Etat : 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 r�f. du vendeur 9783030121297

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Nature-Inspired Optimizers

Seyedali Mirjalili

Edit� par Springer International Publishing Okt 2020, 2020

ISBN 10 : 3030121291 ISBN 13 : 9783030121297

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Taschenbuch. Etat : 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 r�f. du vendeur 9783030121297

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Nature-inspired Optimizers : Theories, Literature Reviews and Applications

Mirjalili, Seyedali (EDT); Dong, Jin Song (EDT); Lewis, Andrew (EDT)

Edit� par Springer, 2020

ISBN 10 : 3030121291 ISBN 13 : 9783030121297

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Nature-Inspired Optimizers

Seyedali Mirjalili

Edit� par Springer International Publishing, Springer International Publishing Okt 2020, 2020

ISBN 10 : 3030121291 ISBN 13 : 9783030121297

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : 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 r�f. du vendeur 9783030121297

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