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Integration of AI and OR Techniques in Constraint Programming

Overview of attention for book
Cover of 'Integration of AI and OR Techniques in Constraint Programming'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Time-Dependent No-Overlap Constraint: Application to Urban Delivery Problems
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    Chapter 2 Rectangle Placement for VLSI Testing
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    Chapter 3 A Constraint-Based Local Search for Edge Disjoint Rooted Distance-Constrained Minimum Spanning Tree Problem
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    Chapter 4 A Benders Approach to the Minimum Chordal Completion Problem
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    Chapter 5 MaxSAT-Based Scheduling of B2B Meetings
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    Chapter 6 Embedding Decision Trees and Random Forests in Constraint Programming
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    Chapter 7 Scheduling with Fixed Maintenance, Shared Resources and Nonlinear Feedrate Constraints: A Mine Planning Case Study
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    Chapter 8 Learning Value Heuristics for Constraint Programming
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    Chapter 9 Derivative-Free Optimization: Lifting Single-Objective to Multi-Objective Algorithm
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    Chapter 10 Branching on Multi-aggregated Variables
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    Chapter 11 Time-Table Disjunctive Reasoning for the Cumulative Constraint
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    Chapter 12 Uncertain Data Dependency Constraints in Matrix Models
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    Chapter 13 An Efficient Local Search for Partial Latin Square Extension Problem
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    Chapter 14 Enhancing MIP Branching Decisions by Using the Sample Variance of Pseudo Costs
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    Chapter 15 BDD-Guided Clause Generation
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    Chapter 16 Combining Constraint Propagation and Discrete Ellipsoid-Based Search to Solve the Exact Quadratic Knapsack Problem
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    Chapter 17 Large Neighborhood Search for Energy Aware Meeting Scheduling in Smart Buildings
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    Chapter 18 ILP and CP Formulations for the Lazy Bureaucrat Problem
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    Chapter 19 The Smart Table Constraint
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    Chapter 20 Constraint-Based Sequence Mining Using Constraint Programming
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    Chapter 21 A Comparative Study of MIP and CP Formulations for the B2B Scheduling Optimization Problem
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    Chapter 22 Constraint-Based Local Search for Golomb Rulers
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    Chapter 23 Packing While Traveling: Mixed Integer Programming for a Class of Nonlinear Knapsack Problems
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    Chapter 24 MaxSAT-Based Cutting Planes for Learning Graphical Models
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    Chapter 25 A Multistage Stochastic Programming Approach to the Dynamic and Stochastic VRPTW
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    Chapter 26 Constraint Solving on Bounded String Variables
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    Chapter 27 Freight Train Threading with Different Algorithms
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    Chapter 28 Learning General Constraints in CSP
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    Chapter 29 Understanding the Potential of Propagators
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    Chapter 30 Failure-Directed Search for Constraint-Based Scheduling
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

10 tweeters

Readers on

62 Mendeley
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Integration of AI and OR Techniques in Constraint Programming
Published by
Lecture notes in computer science, April 2015
DOI 10.1007/978-3-319-18008-3
978-3-31-918007-6, 978-3-31-918008-3

Laurent Michel, Burt, Christina N., Lipovetzky, Nir, Pearce, Adrian R., Stuckey, Peter J., Chu, Geoffrey


Michel, Laurent

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 2%
United States 1 2%
Ecuador 1 2%
Unknown 59 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 40%
Student > Master 8 13%
Student > Bachelor 6 10%
Researcher 6 10%
Other 5 8%
Other 6 10%
Unknown 6 10%
Readers by discipline Count As %
Computer Science 19 31%
Engineering 11 18%
Mathematics 9 15%
Business, Management and Accounting 6 10%
Agricultural and Biological Sciences 1 2%
Other 5 8%
Unknown 11 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 January 2019.
All research outputs
of 14,207,392 outputs
Outputs from Lecture notes in computer science
of 7,440 outputs
Outputs of similar age
of 234,505 outputs
Outputs of similar age from Lecture notes in computer science
of 94 outputs
Altmetric has tracked 14,207,392 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,440 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 234,505 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.