Nonlinear Interval Optimization for Uncertain Problems

, ,



0%

 COMMENCER GRATUITEMENT

137,14 l'ebook
acheter l'ebook


Détails du livre

Titre : Nonlinear Interval Optimization for Uncertain Problems
Pages : 284
Collection : Springer Tracts in Mechanical Engineering
Parution : 2020-12-08
Éditeur : Springer
EAN papier : 9789811585456
À propos du livre

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.

Format EPUB - Nb pages copiables : 2 - Nb pages imprimables : 28 - Poids : 22866 Ko - - Prix : 137,14 € - EAN : 9789811585463

Pick and Read

Une solution de paiement à la page lue.

Une lecture en streaming, pour « lire en maîtrisant son budget ».




Paiement sécurisé


  • Newsletter

  • OK