Dynamic Programming Multi-Objective Combinatorial Optimization / by Michal Mankowski, Mikhail Moshkov.
By: Mankowski, Michal, autor
Contributor(s): Moshkov, Mikhail, autor
Material type:
E-bookSeries: (Studies in Systems Decision and Control, 2198-4182; 331); (Intelligent Technologies and Robotics (SpringerNature-42732)); (Intelligent Technologies and Robotics (R0) (SpringerNature-43728)).Publisher: Cham : Springer International Pulishing, 2021Edition: First edition 2021.Description: 1 recurso en línea (XIV, 214 páginas) : 67 illus.ISBN: 9783030639204.Subject: Optimización combinatoria
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | QA402.5 2021 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.14032076 |
Introduction -- Circuits Without Repetitions. Main Tools -- Combinatorial Optimization Problems. Conventional Circuits -- Multi-Stage and Bi-Criteria Optimization of Matchings in Trees -- Combinatorial Optimization Problems. Syntactical Circuits -- Index.
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.
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