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Nature-Inspired Algorithms and Applied Optimization (Studies in Computational Intelligence, 744) - Softcover
Synopsis
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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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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- PublisherSpringer
- Publication date2018
- ISBN 10 3319884654
- ISBN 13 9783319884653
- BindingPaperback
- LanguageEnglish
- Number of pages341
- EditorYang Xin-She
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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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Condition: 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. Seller Inventory # 448761534
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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. Condition: 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. Seller Inventory # 9783319884653
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Nature-Inspired Algorithms and Applied Optimization
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ISBN 10: 3319884654
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Taschenbuch. Condition: 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. Seller Inventory # 9783319884653
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Nature-Inspired Algorithms and Applied Optimization
ISBN 10: 3319884654
ISBN 13: 9783319884653
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Taschenbuch. Condition: 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. Seller Inventory # 9783319884653
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Nature-Inspired Algorithms and Applied Optimization (Studies in Computational Intelligence)
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Paperback. Condition: Brand New. reprint edition. 344 pages. 9.25x6.10x0.78 inches. In Stock. Seller Inventory # 3319884654
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