Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov - Couverture rigide

Couverture rigide

ISBN 10 : 3039438352 ISBN 13 : 9783039438358

Editeur : Mdpi AG, 2020

Synopsis

The aim of this book was to collect the most recent methods developed for NSO and its practical applications. The book contains seven papers: The first is the foreword by the Guest Editors giving a brief review of NSO and its real-life applications and acknowledging the outstanding contributions of Professor Adil Bagirov to both the theoretical and practical aspects of NSO. The second paper introduces a new and very efficient algorithm for solving uncertain unit-commitment (UC) problems. The third paper proposes a new nonsmooth version of the generalized damped Gauss-Newton method for solving nonlinear complementarity problems. In the fourth paper, the abs-linear representation of piecewise linear functions is extended to yield simultaneously their DC decomposition as well as the pair of generalized gradients. The fifth paper presents the use of biased-randomized algorithms as an effective methodology to cope with NP-hard and nonsmooth optimization problems in many practical applications. In the sixth paper, a problem concerning the scheduling of nuclear waste disposal is modeled as a nonsmooth multiobjective mixed-integer nonlinear optimization problem, and a novel method using the two-slope parameterized achievement scalarizing functions is introduced. Finally, the last paper considers binary classification of a multiple instance learning problem and formulates the learning problem as a nonconvex nonsmooth unconstrained optimization problem with a DC objective function.

Détails de l'édition

• Éditeur: Mdpi AG
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 3039438352
• ISBN 13: 9783039438358
• Reliure: Relié
• Nombre de pages: 116
• Éditeur: Karmitsa Napsu, Taheri Sona
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible