Dynamic Programming Multi-Objective Combinatorial Optimization / Studies in Systems, Decision and Control Bd.331 (PDF)
(Sprache: Englisch)
This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective combinatorial optimization problems. It proposes the circuits without repetitions representing the sets of feasible solutions...
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This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective combinatorial optimization problems. It proposes the circuits without repetitions representing the sets of feasible solutions along with the increasing and strictly increasing cost functions as a model for such problems. The book designs the algorithms for multi-stage and bi-criteria optimization and for counting the solutions in the framework of this model.
As applications, this book studies eleven known combinatorial optimization problems: matrix chain multiplication, global sequence alignment, optimal paths in directed graphs, binary search trees, convex polygon triangulation, line breaking (text justification), one-dimensional clustering, optimal bitonic tour, segmented least squares, optimization of matchings in trees, and 0/1 knapsack problem.
The results presented are useful for researchers in combinatorial optimization. This book is also useful as the basis for graduate courses.
Bibliographische Angaben
- Autoren: Michal Mankowski , Mikhail Moshkov
- 2021, 1st ed. 2021, 214 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030639207
- ISBN-13: 9783030639204
- Erscheinungsdatum: 08.02.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 5.65 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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