Personnaliser

OK

Nonlinear Interval Optimization for Uncertain Problems - Jiang, Chao

Note : 0

0 avis
  • Soyez le premier à donner un avis

Vous en avez un à vendre ?

Vendez-le-vôtre
Aucun vendeur ne propose ce produit

Soyez informé(e) par e-mail dès l'arrivée de cet article

Créer une alerte prix
Publicité
 
Vous avez choisi le retrait chez le vendeur à
  • Payez directement sur Rakuten (CB, PayPal, 4xCB...)
  • Récupérez le produit directement chez le vendeur
  • Rakuten vous rembourse en cas de problème

Gratuit et sans engagement

Félicitations !

Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !

En savoir plus

Retour

Horaires

      Note :


      Avis sur Nonlinear Interval Optimization For Uncertain Problems de Jiang, Chao Format Broché  - Livre Technologie

      Note : 0 0 avis sur Nonlinear Interval Optimization For Uncertain Problems de Jiang, Chao Format Broché  - Livre Technologie

      Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.


      Présentation Nonlinear Interval Optimization For Uncertain Problems de Jiang, Chao Format Broché

       - Livre Technologie

      Livre Technologie - Jiang, Chao - 01/12/2021 - Broché - Langue : Anglais

      . .

    • Auteur(s) : Jiang, Chao - Xie, Huichao - Han, Xu
    • Editeur : Springer Singapore
    • Langue : Anglais
    • Parution : 01/12/2021
    • Format : Moyen, de 350g à 1kg
    • Nombre de pages : 296
    • Expédition : 452
    • Dimensions : 23.5 x 15.5 x 1.7
    • ISBN : 9789811585487



    • Résumé :
      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.

      Biographie:

      Dr. Jiang obtained his Ph.D. in Mechanical Engineering from Hunan University in 2008. Since then, he has been working as a professional staff at the College of Mechanical and Vehicle Engineering of Hunan University. He was promoted to full professor in 2011 and was appointed executive dean of the college in 2018. His academic research is mainly focused on mechanical design, with particular interests in the scientific issues of structural reliability, optimization design, and fracture and fatigue. He has published about 120 scientific papers in peer-reviewed international journals and received more than 3,000 citations. Dr. Jiang is member of editorial board of several international and domestic journals in the field of mechanical engineering science. He also serves on the committees of several major academic societies related to mechanical engineering, and has organized a series of international academic conferences dedicated to promoting the progress of mechanical engineering science. Dr. Jiang received some reputable honors and awards in China, such as the Leading Talent in Science and Technology Innovation of Ten Thousand Talents Program, Holder of the National Natural Science Foundation for Distinguished Young Scholars. Moreover, he is also the principal investigator of a multidisciplinary research team at Hunan University that has established a good reputation internationally.
      ...

      Sommaire:
      Introduction.- Fundamentals of interval number theory.- Mathematical transformation models of nonlinear interval optimization.- Interval optimization based on hybrid optimization algorithms.- Interval optimization based on interval structural analysis.- Interval optimization based on sequential linear programming.- Interval optimization based on surrogate models.- Interval multidisciplinary optimization design.- Interval optimization based on a novel interval possibility degree model.- Interval optimization considering parameter dependences.- Interval multi-objective optimization design.- Interval optimization considering tolerance design.- Interval differential evolution algorithm.

      Le choixNeuf et occasion
      Minimum5% remboursés
      La sécuritéSatisfait ou remboursé
      Le service clientsÀ votre écoute
      LinkedinFacebookTwitterInstagramYoutubePinterestTiktok
      visavisa
      mastercardmastercard
      klarnaklarna
      paypalpaypal
      floafloa
      americanexpressamericanexpress
      Rakuten Logo
      • Rakuten Kobo
      • Rakuten TV
      • Rakuten Viber
      • Rakuten Viki
      • Plus de services
      • À propos de Rakuten
      Rakuten.com