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Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems

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Cover of 'Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Machine Learning Framework for Classification in Medicine and Biology
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    Chapter 2 G12 - Towards the Separation of Problem Modelling and Problem Solving
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    Chapter 3 Six Ways of Integrating Symmetries within Non-overlapping Constraints
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    Chapter 4 Throughput Constraint for Synchronous Data Flow Graphs
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    Chapter 5 A Shortest Path-Based Approach to the Multileaf Collimator Sequencing Problem
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    Chapter 6 Backdoors to Combinatorial Optimization: Feasibility and Optimality
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    Chapter 7 Solution Enumeration for Projected Boolean Search Problems
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    Chapter 8 k -Clustering Minimum Biclique Completion via a Hybrid CP and SDP Approach
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    Chapter 9 Optimal Interdiction of Unreactive Markovian Evaders
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    Chapter 10 Using Model Counting to Find Optimal Distinguishing Tests
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    Chapter 11 Reformulating Global Grammar Constraints
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    Chapter 12 IBM ILOG CP Optimizer for Detailed Scheduling Illustrated on Three Problems
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    Chapter 13 Open Constraints in a Boundable World
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    Chapter 14 Sequencing and Counting with the multicost-regular Constraint
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    Chapter 15 Bandwidth-Limited Optimal Deployment of Eventually-Serializable Data Services
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    Chapter 16 Tightening the Linear Relaxation of a Mixed Integer Nonlinear Program Using Constraint Programming
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    Chapter 17 The Polytope of Context-Free Grammar Constraints
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    Chapter 18 Determining the Number of Games Needed to Guarantee an NHL Playoff Spot
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    Chapter 19 Scalable Load Balancing in Nurse to Patient Assignment Problems
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    Chapter 20 Learning How to Propagate Using Random Probing
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    Chapter 21 DFS* and the Traveling Tournament Problem
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    Chapter 22 Max Energy Filtering Algorithm for Discrete Cumulative Resources
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    Chapter 23 Hybrid Branching
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    Chapter 24 Constraint Programming and Mixed Integer Linear Programming for Rescheduling Trains under Disrupted Operations
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    Chapter 25 Constraint Models for Sequential Planning
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    Chapter 26 A Fast Algorithm to Solve the Frequency Assignment Problem
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    Chapter 27 A Hybrid LS/CP Approach to Solve the Weekly Log-Truck Scheduling Problem
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    Chapter 28 Modelling Search Strategies in Rules2CP
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    Chapter 29 CP-INSIDE: Embedding Constraint-Based Decision Engines in Business Applications
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    Chapter 30 An Integrated Genetic Algorithm and Integer Programming Approach to the Network Design Problem with Relays
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    Chapter 31 A Benders’Approach to a Transportation Network Design Problem
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    Chapter 32 Progress on the Progressive Party Problem
Attention for Chapter 24: Constraint Programming and Mixed Integer Linear Programming for Rescheduling Trains under Disrupted Operations
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Chapter title
Constraint Programming and Mixed Integer Linear Programming for Rescheduling Trains under Disrupted Operations
Chapter number 24
Book title
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
Published by
Springer, Berlin, Heidelberg, May 2009
DOI 10.1007/978-3-642-01929-6_24
Book ISBNs
978-3-64-201928-9, 978-3-64-201929-6
Authors

Rodrigo Acuna-Agost, Philippe Michelon, Dominique Feillet, Serigne Gueye, Acuna-Agost, Rodrigo, Michelon, Philippe, Feillet, Dominique, Gueye, Serigne

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Student > Doctoral Student 1 14%
Other 1 14%
Professor 1 14%
Researcher 1 14%
Other 0 0%
Readers by discipline Count As %
Engineering 5 71%
Computer Science 1 14%
Business, Management and Accounting 1 14%