A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization (BestMasters) - Softcover

Buch 87 von 91: BestMasters

Rocktäschel, Stefan

 
9783658291488: A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization (BestMasters)
Softcover
ISBN 10: 3658291486 ISBN 13: 9783658291488
Verlag: Springer Spektrum, 2020

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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

Von der hinteren Coverseite

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.






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Verlag
Springer Spektrum
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
3658291486
ISBN 13 
9783658291488
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
78
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