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Sinopsis
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
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De la contraportada
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.
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Nature-Inspired Algorithms and Applied Optimization (eng)
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Nature-Inspired Algorithms and Applied Optimization (Paperback)
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Springer International Publishing AG, Cham, 2018
ISBN 10: 3319884654
ISBN 13: 9783319884653
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Paperback. Condición: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783319884653
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Nature-Inspired Algorithms and Applied Optimization
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Springer International Publishing, 2018
ISBN 10: 3319884654
ISBN 13: 9783319884653
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Condición: 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. Nº de ref. del artículo: 448761534
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Nature-Inspired Algorithms and Applied Optimization
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Springer International Publishing Aug 2018, 2018
ISBN 10: 3319884654
ISBN 13: 9783319884653
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783319884653
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Nature-Inspired Algorithms and Applied Optimization
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783319884653
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Nature-Inspired Algorithms and Applied Optimization
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Taschenbuch. Condición: Neu. Nature-Inspired Algorithms and Applied Optimization | Xin-She Yang | Taschenbuch | xi | Englisch | 2018 | Springer | EAN 9783319884653 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 115379567
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Nature-Inspired Algorithms and Applied Optimization
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ISBN 10: 3319884654
ISBN 13: 9783319884653
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Reviews the state-of-the-art developments in nature-inspired algorithms and optimizationPresents a number of theories (no-free-lunch theorems and convergence analysis) and insights into nature-inspired algorithmsIntroduces algorithms with an emphasis on applied optimization in real-world applicationsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch. Nº de ref. del artículo: 9783319884653
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Nature-Inspired Algorithms and Applied Optimization (Studies in Computational Intelligence)
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Nature-Inspired Algorithms and Applied Optimization (Paperback)
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ISBN 10: 3319884654
ISBN 13: 9783319884653
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Paperback. Condición: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9783319884653
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