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Frontier Applications of Nature Inspired Computation (Springer Tracts in Nature-Inspired Computing) - Softcover

 
9789811521355: Frontier Applications of Nature Inspired Computation (Springer Tracts in Nature-Inspired Computing)

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9789811521324: Frontier Applications of Nature Inspired Computation (Springer Tracts in Nature-Inspired Computing)

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ISBN 10:  9811521328 ISBN 13:  9789811521324
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Published by Springer, 2021
ISBN 10: 9811521352 ISBN 13: 9789811521355
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Published by Springer, 2021
ISBN 10: 9811521352 ISBN 13: 9789811521355
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ISBN 10: 9811521352 ISBN 13: 9789811521355
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications.Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications. 404 pp. Englisch. Seller Inventory # 9789811521355

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Published by Springer, 2021
ISBN 10: 9811521352 ISBN 13: 9789811521355
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Published by Springer Singapore, 2021
ISBN 10: 9811521352 ISBN 13: 9789811521355
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes advances in the theory and application of nature-inspired optimization techniquesPresents the latest findings, novel techniques and state-of-the-art applications of nature-inspired computingServes as a valuable reference resource . Seller Inventory # 446298170

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ISBN 10: 9811521352 ISBN 13: 9789811521355
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications.Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications. Seller Inventory # 9789811521355

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Published by Springer, 2021
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Published by Springer, 2021
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Published by Springer, 2021
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Khosravy, Mahdi (Editor)/ Gupta, Neeraj (Editor)/ Patel, Nilesh (Editor)/ Senjyu, Tomonobu (Editor)
Published by Springer Nature, 2021
ISBN 10: 9811521352 ISBN 13: 9789811521355
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Paperback. Condition: Brand New. 404 pages. 9.25x6.10x0.95 inches. In Stock. Seller Inventory # x-9811521352

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