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Principles and Practice of Constraint Programming : 19th International Conference, CP 2013, Uppsala, Sweden, September 16-20, 2013. Proceedings

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Cover of 'Principles and Practice of Constraint Programming : 19th International Conference, CP 2013, Uppsala, Sweden, September 16-20, 2013. Proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 Optimization for Policy Making: The Cornerstone for an Integrated Approach
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    Chapter 2 Answer Set Programming: Boolean Constraint Solving for Knowledge Representation and Reasoning
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    Chapter 3 Those Who Cannot Remember the Past Are Condemned to Repeat It
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    Chapter 4 Decide Different!
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    Chapter 5 The Objective-CP Optimization System
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    Chapter 6 Parallel Discrepancy-Based Search
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    Chapter 7 Bin Packing with Linear Usage Costs – An Application to Energy Management in Data Centres
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    Chapter 8 Filtering AtMostNValue with Difference Constraints: Application to the Shift Minimisation Personnel Task Scheduling Problem
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    Chapter 9 A parametric approach for smaller and better encodings of cardinality constraints
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    Chapter 10 To Encode or to Propagate? The Best Choice for Each Constraint in SAT
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    Chapter 11 Automated Symmetry Breaking and Model Selection in Conjure
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    Chapter 12 Improving WPM2 for (Weighted) Partial MaxSAT
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    Chapter 13 MinSAT versus MaxSAT for Optimization Problems
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    Chapter 14 Adaptive Parameterized Consistency
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    Chapter 15 Global Inverse Consistency for Interactive Constraint Satisfaction
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    Chapter 16 Counting Spanning Trees to Guide Search in Constrained Spanning Tree Problems
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    Chapter 17 On the Reduction of the CSP Dichotomy Conjecture to Digraphs
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    Chapter 18 A Scalable Approximate Model Counter
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    Chapter 19 Dominance Driven Search
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    Chapter 20 Tractable Combinations of Global Constraints
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    Chapter 21 Postponing Optimization to Speed Up MAXSAT Solving
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    Chapter 22 Dead-End Elimination for Weighted CSP
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    Chapter 23 Solving Weighted CSPs by Successive Relaxations
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    Chapter 24 Constraint-Based Program Reasoning with Heaps and Separation
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    Chapter 25 Model Combinators for Hybrid Optimization
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    Chapter 26 Modelling Destructive Assignments
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    Chapter 27 An Improved Search Algorithm for Min-Perturbation
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    Chapter 28 Explaining Propagators for Edge-Valued Decision Diagrams
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    Chapter 29 A Simple and Effective Decomposition for the Multidimensional Binpacking Constraint
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    Chapter 30 Maintaining Soft Arc Consistencies in BnB-ADOPT +  during Search
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    Chapter 31 Solving String Constraints: The Case for Constraint Programming
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    Chapter 32 Blowing Holes in Various Aspects of Computational Problems, with Applications to Constraint Satisfaction
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    Chapter 33 Solving QBF with Free Variables
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    Chapter 34 Globalizing Constraint Models
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    Chapter 35 A New Propagator for Two-Layer Neural Networks in Empirical Model Learning
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    Chapter 36 Bandit-Based Search for Constraint Programming
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    Chapter 37 Focused Random Walk with Configuration Checking and Break Minimum for Satisfiability
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    Chapter 38 Multi-Objective Constraint Optimization with Tradeoffs
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    Chapter 39 Multidimensional Bin Packing Revisited
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    Chapter 40 A Parametric Propagator for Discretely Convex Pairs of Sum Constraints
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    Chapter 41 Breaking Symmetry with Different Orderings
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    Chapter 42 Time-Table Extended-Edge-Finding for the Cumulative Constraint
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    Chapter 43 Revisiting the Cardinality Reasoning for BinPacking Constraint
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    Chapter 44 Value Interchangeability in Scenario Generation
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    Chapter 45 Embarrassingly Parallel Search
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    Chapter 46 Multi-Objective Large Neighborhood Search
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    Chapter 47 Scheduling Optional Tasks with Explanation
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    Chapter 48 Residential Demand Response under Uncertainty
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    Chapter 49 Lifting Structural Tractability to CSP with Global Constraints
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    Chapter 50 Empirical Study of the Behavior of Conflict Analysis in CDCL Solvers
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    Chapter 51 Primal and Dual Encoding from Applications into Quantified Boolean Formulas
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    Chapter 52 Asynchronous Forward Bounding Revisited
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    Chapter 53 Optimizing STR Algorithms with Tuple Compression
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    Chapter 54 Describing and Generating Solutions for the EDF Unit Commitment Problem with the ModelSeeker
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    Chapter 55 Solving the Agricultural Land Allocation Problem by Constraint-Based Local Search
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    Chapter 56 Constraint-Based Approaches for Balancing Bike Sharing Systems
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    Chapter 57 Constraint Based Computation of Periodic Orbits of Chaotic Dynamical Systems
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    Chapter 58 Laser Cutting Path Planning Using CP
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    Chapter 59 Atom Mapping with Constraint Programming
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    Chapter 60 Beyond Feasibility: CP Usage in Constrained-Random Functional Hardware Verification
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    Chapter 61 Stochastic Local Search Based Channel Assignment in Wireless Mesh Networks
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    Chapter 62 Automatic Generation and Delivery of Multiple-Choice Math Quizzes
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    Chapter 63 Constrained Wine Blending
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    Chapter 64 The Berth Allocation and Quay Crane Assignment Problem Using a CP Approach
Attention for Chapter 8: Filtering AtMostNValue with Difference Constraints: Application to the Shift Minimisation Personnel Task Scheduling Problem
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Chapter title
Filtering AtMostNValue with Difference Constraints: Application to the Shift Minimisation Personnel Task Scheduling Problem
Chapter number 8
Book title
Principles and Practice of Constraint Programming
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-40627-0_8
Book ISBNs
978-3-64-240626-3, 978-3-64-240627-0
Authors

Jean-Guillaume Fages, Tanguy Lapègue

Editors

Christian Schulte

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Student > Bachelor 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Business, Management and Accounting 1 33%