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Integration of AI and OR Techniques in Constraint Programming

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Cover of 'Integration of AI and OR Techniques in Constraint Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Call-Based Dynamic Programming for the Precedence Constrained Line Traveling Salesman
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    Chapter 2 Stable Roommates and Constraint Programming
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    Chapter 3 Detecting and Exploiting Permutation Structures in MIPs
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    Chapter 4 Solving the Quorumcast Routing Problem as a Mixed Integer Program
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    Chapter 5 A New MIP Model for Parallel-Batch Scheduling with Non-identical Job Sizes
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    Chapter 6 Mining (Soft-) Skypatterns Using Dynamic CSP
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    Chapter 7 Modelling with Option Types in MiniZinc
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    Chapter 8 Interactive Design of Sustainable Cities with a Distributed Local Search Solver
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    Chapter 9 Sliced Table Constraints: Combining Compression and Tabular Reduction
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    Chapter 10 The PrePack Optimization Problem
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    Chapter 11 An Integrated Constraint Programming Approach to Scheduling Sports Leagues with Divisional and Round-Robin Tournaments
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    Chapter 12 Local Search for a Cargo Assembly Planning Problem
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    Chapter 13 A Logic Based Benders’ Approach to the Concrete Delivery Problem
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    Chapter 14 Evaluating CP Techniques to Plan Dynamic Resource Provisioning in Distributed Stream Processing
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    Chapter 15 Disregarding Duration Uncertainty in Partial Order Schedules? Yes, We Can!
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    Chapter 16 An Exact Branch and Bound Algorithm with Symmetry Breaking for the Maximum Balanced Induced Biclique Problem
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    Chapter 17 Domain k-Wise Consistency Made as Simple as Generalized Arc Consistency
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    Chapter 18 Representative Encodings to Translate Finite CSPs into SAT
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    Chapter 19 Integration of AI and OR Techniques in Constraint Programming
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    Chapter 20 Continuously Degrading Resource and Interval Dependent Activity Durations in Nuclear Medicine Patient Scheduling
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    Chapter 21 Cost Impact Guided LNS
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    Chapter 22 Proteus: A Hierarchical Portfolio of Solvers and Transformations
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    Chapter 23 Buffered Resource Constraint: Algorithms and Complexity
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    Chapter 24 Combining Discrete Ellipsoid-Based Search and Branch-and-Cut for Binary Quadratic Programming Problems
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    Chapter 25 Parallel Combinatorial Optimization with Decision Diagrams
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    Chapter 26 A Portfolio Approach to Enumerating Minimal Correction Subsets for Satisfiability Problems
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    Chapter 27 Parallel Depth-Bounded Discrepancy Search
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    Chapter 28 Self-splitting of Workload in Parallel Computation
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    Chapter 29 The Markov Transition Constraint
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    Chapter 30 New Lower Bounds on the Number of Vehicles for the Vehicle Routing Problem with Time Windows
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    Chapter 31 Constrained Clustering Using Column Generation
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    Chapter 32 A Constraint Programming-Based Column Generation Approach for Operating Room Planning and Scheduling
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    Chapter 33 Dynamic Controllability and Dispatchability Relationships
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Title
Integration of AI and OR Techniques in Constraint Programming
Published by
Springer International Publishing, May 2014
DOI 10.1007/978-3-319-07046-9
ISBNs
978-3-31-907045-2, 978-3-31-907046-9
Editors

Simonis, Helmut

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The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Mathematics 1 100%