Adaptive Differential Evolution: A Robust Approach to Multimodal Problem Optimization - Couverture rigide

Livre 1 sur 12: Adaptation, Learning, and Optimization

Zhang, Jingqiao ; Sanderson, Arthur C.

9783642015267: Adaptive Differential Evolution: A Robust Approach to Multimodal Problem Optimization

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ISBN 10 : 3642015263 ISBN 13 : 9783642015267

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2009

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Related Work and Background.- Theoretical Analysis of Differential Evolution.- Parameter Adaptive Differential Evolution.- Surrogate Model-Based Differential Evolution.- Adaptive Multi-objective Differential Evolution.- Application to Winner Determination Problems in Combinatorial Auctions.- Application to Flight Planning in Air Traffic Control Systems.- Application to the TPM Optimization in Credit Decision Making.- Conclusions and Future Work.

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�diteur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Date d'�dition: 2009
Langue: anglais
ISBN 10: 3642015263
ISBN 13: 9783642015267
Reliure: Reli�
Nombre de pages: 177
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Adaptive Differential Evolution

Zhang, Jingqiao; Sanderson, Arthur C.

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Zhang:Adaptive Differential Evolution (eng)

Zhang, Jingqiao

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Adaptive Differential Evolution

Jingqiao Zhang

Edit� par Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009

ISBN 10 : 3642015263 ISBN 13 : 9783642015267

Neuf Couverture rigide

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : 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. N� de r�f. du vendeur 9783642015267

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Adaptive Differential Evolution: A Robust Approach to Multimodal Problem Optimization (Adaptation, Learning, and Optimization, 1)

Zhang, Jingqiao; Sanderson, Arthur C.

Edit� par Springer, 2009

ISBN 10 : 3642015263 ISBN 13 : 9783642015267

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Adaptive Differential Evolution

Jingqiao Zhang|Arthur C. Sanderson

Edit� par Springer Berlin Heidelberg, 2009

ISBN 10 : 3642015263 ISBN 13 : 9783642015267

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Gebunden. Etat : 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 Evolution.- Parameter Adaptive Differ. N� de r�f. du vendeur 5043412

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Adaptive Differential Evolution

Arthur C. Sanderson Jingqiao Zhang

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ISBN 10 : 3642015263 ISBN 13 : 9783642015267

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Adaptive Differential Evolution

Sanderson Arthur C. Zhang Jingqiao

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Adaptive Differential Evolution

Sanderson Arthur C. Zhang Jingqiao

Edit� par Springer, 2009

ISBN 10 : 3642015263 ISBN 13 : 9783642015267

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Adaptive Differential Evolution : A Robust Approach to Multimodal Problem Optimization

Jingqiao Zhang

Edit� par Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009

ISBN 10 : 3642015263 ISBN 13 : 9783642015267

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : 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 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. N� de r�f. du vendeur 9783642015267

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