9783642015267 - adaptive differential evolution: a robust approach to multimodal problem optimization: 1 di zhang, jingqiao; sanderson, arthur c. (9 risultati)

Lingua: Inglese
Editore: Springer, 2009
Serie: Adaptation, Learning, and Optimization, Libro 1 di 12. Libro 1 di 12 - Adaptation, Learning, and Optimization
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Lingua: Inglese
Editore: Springer, 2009
Serie: Adaptation, Learning, and Optimization, Libro 1 di 12. Libro 1 di 12 - Adaptation, Learning, and Optimization
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Condizione: New. pp. 180.

Lingua: Inglese
Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
Serie: Adaptation, Learning, and Optimization, Libro 1 di 12. Libro 1 di 12 - Adaptation, Learning, and Optimization
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Optimization problems are ubiquitous in academic research and real-world applications wherever such resources as space, time and cost are limited. Researchers and practitioners need to solve problems fundamental to their daily work which, however, may sh…ow a variety of challenging characteristics such as discontinuity, nonlinearity, nonconvexity, and multimodality. It is expected that solving a complex optimization problem itself should easy to use, reliable and efficient to achieve satisfactory solutions.Differential evolution is a recent branch of evolutionary algorithms that is capable of addressing a wide set of complex optimization problems in a relatively uniform and conceptually simple manner. For better performance, the control parameters of differential evolution need to be set appropriately as they have different effects on evolutionary search behaviours for various problems or at different optimization stages of a single problem. The fundamental theme of the book is theoretical study of differential evolution and algorithmic analysis of parameter adaptive schemes. Topics covered in this book include:Theoretical analysis of differential evolution and its control parametersAlgorithmic design and comparative analysis of parameter adaptive schemesScalability analysis of adaptive differential evolutionAdaptive differential evolution for multi-objective optimizationIncorporation of surrogate model for computationally expensive optimizationApplication to winner determination in combinatorial auctions of E-CommerceApplication to flight route planning in Air Traffic ManagementApplication to transition probability matrix optimization in credit-decision making.

Lingua: Inglese
Editore: Springer, 2009
Serie: Adaptation, Learning, and Optimization, Libro 1 di 12. Libro 1 di 12 - Adaptation, Learning, and Optimization
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Lingua: Inglese
Editore: Springer, 2009
Serie: Adaptation, Learning, and Optimization, Libro 1 di 12. Libro 1 di 12 - Adaptation, Learning, and Optimization
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Lingua: Inglese
Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
Serie: Adaptation, Learning, and Optimization, Libro 1 di 12. Libro 1 di 12 - Adaptation, Learning, and Optimization
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Optimization problems are ubiquitous in academic research and real-world applications wherever such resources as space, time and cost are limited. Researchers and practitioners need to solve problems fundamental to their daily work which,… however, may show a variety of challenging characteristics such as discontinuity, nonlinearity, nonconvexity, and multimodality. It is expected that solving a complex optimization problem itself should easy to use, reliable and efficient to achieve satisfactory solutions.Differential evolution is a recent branch of evolutionary algorithms that is capable of addressing a wide set of complex optimization problems in a relatively uniform and conceptually simple manner. For better performance, the control parameters of differential evolution need to be set appropriately as they have different effects on evolutionary search behaviours for various problems or at different optimization stages of a single problem. The fundamental theme of the book is theoretical study of differential evolution and algorithmic analysis of parameter adaptive schemes. Topics covered in this book include:Theoretical analysis of differential evolution and its control parametersAlgorithmic design and comparative analysis of parameter adaptive schemesScalability analysis of adaptive differential evolutionAdaptive differential evolution for multi-objective optimizationIncorporation of surrogate model for computationally expensive optimizationApplication to winner determination in combinatorial auctions of E-CommerceApplication to flight route planning in Air Traffic ManagementApplication to transition probability matrix optimization in credit-decision making 164 pp. Englisch.

Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2009
Serie: Adaptation, Learning, and Optimization, Libro 1 di 12. Libro 1 di 12 - Adaptation, Learning, and Optimization
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive study of adaptive differential evolutionReal-world insights into a variety of large-scale complex industrial applicationsRelated Work and Background.- Theoretical Analysis of Differential Evol…ution.- Parameter Adaptive Differ.

Lingua: Inglese
Editore: Springer, 2009
Serie: Adaptation, Learning, and Optimization, Libro 1 di 12. Libro 1 di 12 - Adaptation, Learning, and Optimization
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 180 74 Illus.

Lingua: Inglese
Editore: Springer, 2009
Serie: Adaptation, Learning, and Optimization, Libro 1 di 12. Libro 1 di 12 - Adaptation, Learning, and Optimization
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 180.