Computational Optimization, Methods and Algorithms - Couverture souple

9783662520048: Computational Optimization, Methods and Algorithms

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ISBN 10 : 3662520044 ISBN 13 : 9783662520048

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Computational optimization is an important paradigm with a wide range of applications. This book reviews and discusses the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization.

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�diteurSpringer
Date d'�dition2016
ISBN 10 3662520044
ISBN 13 9783662520048
ReliureBroch�
Langueanglais
Nombre de pages300
�diteurKoziel Slawomir, Yang Xin-She

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9783642208584: Computational Optimization, Methods and Algorithms

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ISBN 10 : 3642208584 ISBN 13 : 9783642208584
Editeur : Springer-Verlag Berlin and Heide..., 2011
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Computational Optimization, Methods and Algorithms (Studies in Computational Intelligence, 356)

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Computational Optimization, Methods and Algorithms

Xin-She Yang

Edit� par Springer Berlin Heidelberg Aug 2016, 2016

ISBN 10 : 3662520044 ISBN 13 : 9783662520048

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems. Another complication is that most problems are often NP-hard, that is, the solution time for finding the optimum increases exponentially with the problem size. The development of efficient algorithms and specialized techniques that address these difficulties is of primary importance for contemporary engineering, science and industry. This book consists of 12 self-contained chapters, contributed from worldwide experts who are working in these exciting areas. The book strives to review and discuss the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization. It also covers well-chosen, real-world applications in science, engineering and industry. Main topics include derivative-free optimization, multi-objective evolutionary algorithms, surrogate-based methods, maximum simulated likelihood estimation, support vector machines, and metaheuristic algorithms. Application case studies include aerodynamic shape optimization, microwave engineering, black-box optimization, classification, economics, inventory optimization and structural optimization. This graduate level book can serve as an excellent reference for lecturers, researchers and students in computational science, engineering and industry. 300 pp. Englisch. N� de r�f. du vendeur 9783662520048

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Computational Optimization, Methods and Algorithms (Studies in Computational Intelligence, 356)

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ISBN 10 : 3662520044 ISBN 13 : 9783662520048

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Computational Optimization, Methods and Algorithms

Koziel, Slawomir|Yang, Xin-She

Edit� par Springer Berlin Heidelberg, 2016

ISBN 10 : 3662520044 ISBN 13 : 9783662520048

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State of the art in Computational OptimizationPresents various Applications in Engineering and Industry Written by leading experts in the fieldComputational optimization is an important paradigm with a wide range of applications. N� de r�f. du vendeur 385771894

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Computational Optimization, Methods and Algorithms

Xin-She Yang

Edit� par Springer Berlin Heidelberg, 2016

ISBN 10 : 3662520044 ISBN 13 : 9783662520048

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems. Another complication is that most problems are often NP-hard, that is, the solution time for finding the optimum increases exponentially with the problem size. The development of efficient algorithms and specialized techniques that address these difficulties is of primary importance for contemporary engineering, science and industry. This book consists of 12 self-contained chapters, contributed from worldwide experts who are working in these exciting areas. The book strives to review and discuss the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization. It also covers well-chosen, real-world applications in science, engineering and industry. Main topics include derivative-free optimization, multi-objective evolutionary algorithms, surrogate-based methods, maximum simulated likelihood estimation, support vector machines, and metaheuristic algorithms. Application case studies include aerodynamic shape optimization, microwave engineering, black-box optimization, classification, economics, inventory optimization and structural optimization. This graduate level book can serve asan excellent reference for lecturers, researchers and students in computational science, engineering and industry. N� de r�f. du vendeur 9783662520048

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