Cantitate/Preț
Produs

A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization: BestMasters

Autor Stefan Rocktäschel
en Limba Engleză Paperback – 22 ian 2020
Stefan Rocktäschel introduces a branch-and-bound algorithm that determines a cover of the efficient set of multiobjective mixed-integer convex optimization problems. He examines particular steps of this algorithm in detail and enhances the basic algorithm with additional modifications that ensure a more precise cover of the efficient set. Finally, he gives numerical results on some test instances.
Citește tot Restrânge

Din seria BestMasters

Preț: 34748 lei

Nou

Puncte Express: 521

Preț estimativ în valută:
6652 6845$ 5607£

Carte tipărită la comandă

Livrare economică 25 februarie-03 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783658291488
ISBN-10: 3658291486
Pagini: 70
Ilustrații: VIII, 70 p. 15 illus.
Dimensiuni: 148 x 210 x 7 mm
Greutate: 0.14 kg
Ediția:1st ed. 2020
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Spektrum
Seria BestMasters

Locul publicării:Wiesbaden, Germany

Cuprins

Theoretical basics for solving multiobjective mixed-integer convex optimization problems.- An algorithm for solving this class of optimization problems.- Test instances and numerical results.

Notă biografică

Stefan Rocktäschel works as scientific assistant at the Institute for Mathematics of Technische Universität Ilmenau, Germany.

Textul de pe ultima copertă

Stefan Rocktäschel introduces a branch-and-bound algorithm that determines a cover of the efficient set of multiobjective mixed-integer convex optimization problems. He examines particular steps of this algorithm in detail and enhances the basic algorithm with additional modifications that ensure a more precise cover of the efficient set. Finally, he gives numerical results on some test instances.

Contents
  • Theoretical basics for solving multiobjective mixed-integer convex optimization problems
  • An algorithm for solving this class of optimization problems
  • Test instances and numerical results
Target Groups
  • Students and Lecturers in the field of mathematics and economics 
  • Practitioners in the field of multiobjective mixed-integer convex optimization problems
The Author
Stefan Rocktäschel works as scientific assistant at the Institute forMathematics of Technische Universität Ilmenau, Germany.







Caracteristici

First algorithm for solving multiobjective mixed-integer convex optimization problems