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Decision Diagrams for Optimization: Artificial Intelligence: Foundations, Theory, and Algorithms

Autor David Bergman, Andre A. Cire, Willem-Jan van Hoeve, John Hooker
en Limba Engleză Hardback – 14 oct 2016
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]

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Specificații

ISBN-13: 9783319428475
ISBN-10: 3319428470
Pagini: 262
Ilustrații: XII, 254 p. 79 illus.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.55 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Artificial Intelligence: Foundations, Theory, and Algorithms

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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]

Caracteristici

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