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High-Performance Simulation-Based Optimization: 833 (Studies in Computational Intelligence) - Softcover

 
9783030187668: High-Performance Simulation-Based Optimization: 833 (Studies in Computational Intelligence)

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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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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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9783030187637: High-Performance Simulation-Based Optimization: 833 (Studies in Computational Intelligence)

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ISBN 10:  3030187632 ISBN 13:  9783030187637
Verlag: Springer, 2019
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Thomas Bartz-Beielstein
ISBN 10: 3030187667 ISBN 13: 9783030187668
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Taschenbuch. Zustand: 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. Artikel-Nr. 9783030187668

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Verlag: Springer, 2020
ISBN 10: 3030187667 ISBN 13: 9783030187668
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Bartz-beielstein, Thomas (Editor)/ Filipic, Bogdan (Editor)/ Korosec, Peter (Editor)/ Talbi, El-ghazali (Editor)
Verlag: Springer Nature, 2020
ISBN 10: 3030187667 ISBN 13: 9783030187668
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