Téléchargez le livre : Nonlinear Interval Optimization for Uncertain Problems

Nonlinear Interval Optimization for Uncertain Problems

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Éditeur :

Springer


Collection :

Springer Tracts in Mechanical Engineering

Paru le : 2020-12-08

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Description
This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming theory perspective, it develops an innovative mathematical transformation model to deal with general nonlinear interval uncertain optimization problems, which is able to equivalently convert complex interval uncertain optimization problems to simple deterministic optimization problems. This model is then used as the basis for various interval uncertain optimization algorithms for engineering applications, which address the low efficiency caused by double-layer nested optimization. Further, the book extends the nonlinear interval optimization theory to design problems associated with multiple optimization objectives, multiple disciplines, and parameter dependence, and establishes the corresponding interval optimization models and solution algorithms. Lastly, it uses the proposed interval uncertain optimization models and methods to deal with practical problems in mechanical engineering and related fields, demonstrating the effectiveness of the models and methods.
Pages
284 pages
Collection
Springer Tracts in Mechanical Engineering
Parution
2020-12-08
Marque
Springer
EAN papier
9789811585456
EAN PDF
9789811585463
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
8479 Ko
Prix
137,79 €
EAN EPUB
9789811585463
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
22866 Ko
Prix
137,79 €

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