Decision Diagrams for Optimization, 1st ed. 2016 Artificial Intelligence: Foundations, Theory, and Algorithms Series
Auteurs : Bergman David, Cire Andre A., van Hoeve Willem-Jan, Hooker John
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.
Presents a new theoretical and algorithmic approach to discrete optimization
Authors among leading researchers in this domain
Useful for researchers and practitioners in discrete optimization and constraint programming
Includes supplementary material: sn.pub/extras
Date de parution : 10-2016
Ouvrage de 254 p.
15.5x23.5 cm
Date de parution : 06-2018
Ouvrage de 254 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 89,66 €
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