↓ Skip to main content

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

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

Mentioned by

twitter
1 X user

Readers on

mendeley
1 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
Published by
ADS, May 2009
DOI 10.1007/978-3-642-01929-6
ISBNs
978-3-64-201928-9, 978-3-64-201929-6
Editors

Hoeve, Willem-Jan, Hooker, John N.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

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 %
United States 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 September 2022.
All research outputs
#15,739,528
of 23,381,576 outputs
Outputs from ADS
#28,664
of 38,000 outputs
Outputs of similar age
#79,126
of 94,020 outputs
Outputs of similar age from ADS
#268
of 316 outputs
Altmetric has tracked 23,381,576 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 38,000 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 94,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 316 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.