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Decision Diagrams for Optimization

Buch | Hardcover
XII, 254 Seiten
2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-42847-5 (ISBN)

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Decision Diagrams for Optimization - David Bergman, Andre A. Cire, Willem-Jan van Hoeve, John Hooker
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This book introduces a novel approach to discrete optimization, providing both theoretical insights and algorithmic developments that lead to improvements over state-of-the-art technology. The authors present chapters on the use of decision diagrams for combinatorial optimization and constraint programming, with attention to general-purpose solution methods as well as problem-specific techniques.

The book will be useful for researchers and practitioners in discrete optimization and constraint programming. 

"Decision Diagrams for Optimization is one of the most exciting developments emerging from constraint programming in recent years. This book is a compelling summary of existing results in this space and a must-read for optimizers around the world." [Pascal Van Hentenryck]

Introduction.- Historical Overview.- Exact Decision Diagrams.- Relaxed Decision Diagrams.- Restricted Decision Diagrams.- Branch-and-Bound Based on Decision Diagrams.- Variable Ordering.- Recursive Modeling.- MDD-Based Constraint Programming.- MDD Propagation for Sequence Constraints.- Sequencing and Single-Machine Scheduling.- Index.

Erscheinungsdatum
Reihe/Serie Artificial Intelligence: Foundations, Theory, and Algorithms
Zusatzinfo XII, 254 p. 79 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte artificial intelligence (incl. robotics) • Computer Science • Constraint Programming • cutting planes • Decision Diagrams • Discrete Optimization • graph coloring • Operation Research/Decision Theory • Operations Research • Operations Research, Management Science
ISBN-10 3-319-42847-0 / 3319428470
ISBN-13 978-3-319-42847-5 / 9783319428475
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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