Nature-Inspired Algorithms and Applied Optimization - Couverture souple

9783319884653: Nature-Inspired Algorithms and Applied Optimization

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ISBN 10 : 3319884654 ISBN 13 : 9783319884653

Editeur : Springer, 2018

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Reviews the state-of-the-art developments in nature-inspired algorithms and optimization

Presents a number of theories (no-free-lunch theorems and convergence analysis) and insights into nature-inspired algorithms

Introduces algorithms with an emphasis on applied optimization in real-world applications

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2018
Langue: anglais
ISBN 10: 3319884654
ISBN 13: 9783319884653
Reliure: Broch�
Nombre de pages: 344
�diteur: Yang Xin-She
Coordonn�es du fabricant: non disponible
Personne responsable: CMN Printpool Inh. Mathis Neumann
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Nature-Inspired Algorithms and Applied Optimization

Yang, Xin-She

Edit� par Springer International Publishing, 2018

ISBN 10 : 3319884654 ISBN 13 : 9783319884653

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algo. N� de r�f. du vendeur 448761534

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Nature-Inspired Algorithms and Applied Optimization

Xin-She Yang

Edit� par Springer International Publishing Aug 2018, 2018

ISBN 10 : 3319884654 ISBN 13 : 9783319884653

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals. 344 pp. Englisch. N� de r�f. du vendeur 9783319884653

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Nature-Inspired Algorithms and Applied Optimization

Xin-She Yang

Edit� par Springer International Publishing, 2018

ISBN 10 : 3319884654 ISBN 13 : 9783319884653

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Nature-Inspired Algorithms and Applied Optimization (Studies in Computational Intelligence)

Edit� par Springer, 2018

ISBN 10 : 3319884654 ISBN 13 : 9783319884653

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Etat : New. pp. 330. N� de r�f. du vendeur 26378023408

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Nature-Inspired Algorithms and Applied Optimization

Xin-She Yang

Edit� par Springer International Publishing, Springer International Publishing Aug 2018, 2018

ISBN 10 : 3319884654 ISBN 13 : 9783319884653

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch. N� de r�f. du vendeur 9783319884653

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Nature-Inspired Algorithms and Applied Optimization

Xin-She Yang

Edit� par Springer International Publishing, Springer International Publishing, 2018

ISBN 10 : 3319884654 ISBN 13 : 9783319884653

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals. N� de r�f. du vendeur 9783319884653

Contacter le vendeur