ISBN: 9783662520048 - computational optimization, methods and algorithms: 356 (studies in computational intelligence) (11 resultados)

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  • Idioma: Inglés

    Editorial: Springer, 2016

    3662520044 / 9783662520048

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    Editorial: Springer, 2016

    3662520044 / 9783662520048

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    Editorial: Springer, 2016

    3662520044 / 9783662520048

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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  • Idioma: Inglés

    Editorial: Springer, 2016

    3662520044 / 9783662520048

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: Springer, 2016

    3662520044 / 9783662520048

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    Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle

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    Condición: New. pp. 300.

  • Idioma: Inglés

    Editorial: Springer, 2016

    3662520044 / 9783662520048

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    Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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  • Idioma: Inglés

    Editorial: Springer Berlin Heidelberg Aug 2016, 2016

    3662520044 / 9783662520048

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: 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.…

  • Idioma: Inglés

    Editorial: Springer Berlin Heidelberg, 2016

    3662520044 / 9783662520048

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: 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 fieldState of the art in Computational OptimizationPresents various Applications in .…

  • Idioma: Inglés

    Editorial: Springer, Springer Aug 2016, 2016

    3662520044 / 9783662520048

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    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 asan excellent reference for lecturers, researchers and students in computational science, engineering and industry.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 300 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Springer, 2016

    3662520044 / 9783662520048

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    EUR 243,52

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    Condición: New. Print on Demand pp. 300.

  • Idioma: Inglés

    Editorial: Springer, 2016

    3662520044 / 9783662520048

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    Condición: New. PRINT ON DEMAND pp. 300.