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Sinopsis
This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research.
That's where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems.
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This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research.
That’s where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems.
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High-Performance Simulation-Based Optimization.
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Cham, Springer., 2020
ISBN 10: 3030187632
ISBN 13: 9783030187637
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xiii, 291 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in computational intelligence, volume 833. Sprache: Englisch. Nº de ref. del artículo: 5802BB
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High-Performance Simulation-Based Optimization
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Springer International Publishing, 2019
ISBN 10: 3030187632
ISBN 13: 9783030187637
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 308 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 34974511/2
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HIGH-PERFORMANCE SIMULATION-BASED OPTIMIZATION [DC] (2934876518 /21.06.2019)
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High-Performance Simulation-Based Optimization
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Springer International Publishing, 2019
ISBN 10: 3030187632
ISBN 13: 9783030187637
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the state of the art in designing high-performance algorithms that combine machine learning and optimization in order to solve complex problems Provides theoretical treatments and real-world insights gained by th. Nº de ref. del artículo: 293477148
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High-Performance Simulation-Based Optimization
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Springer International Publishing Jun 2019, 2019
ISBN 10: 3030187632
ISBN 13: 9783030187637
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research.That's where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems. 308 pp. Englisch. Nº de ref. del artículo: 9783030187637
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High-Performance Simulation-Based Optimization
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Springer International Publishing, 2019
ISBN 10: 3030187632
ISBN 13: 9783030187637
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research.That's where this book comes in: It covers both theory and practice, drawing on the real-world insights gained by the contributing authors, all of whom are leading researchers. Given its scope, if offers a comprehensive reference guide for researchers, practitioners, and advanced-level students interested in using computational intelligence and machine learning to solve expensive optimization problems. Nº de ref. del artículo: 9783030187637
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High-Performance Simulation-Based Optimization
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High-Performance Simulation-Based Optimization
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ISBN 10: 3030187632
ISBN 13: 9783030187637
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Buch. Condición: Neu. Neuware -This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations. As traditional optimization approaches are not applicable per se, combinations of computational intelligence, machine learning, and high-performance computing methods are popular solutions. But finding a suitable method is a challenging task, because numerous approaches have been proposed in this highly dynamic field of research.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch. Nº de ref. del artículo: 9783030187637
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