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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 Towards a MIP-Cut Metascheme
  3. Altmetric Badge
    Chapter 2 Challenges for CPAIOR in Computational Sustainability
  4. Altmetric Badge
    Chapter 3 Lazy Clause Generation: Combining the Power of SAT and CP (and MIP?) Solving
  5. Altmetric Badge
    Chapter 4 On Matrices, Automata, and Double Counting
  6. Altmetric Badge
    Chapter 5 The Increasing Nvalue Constraint
  7. Altmetric Badge
    Chapter 6 Improving the Held and Karp Approach with Constraint Programming
  8. Altmetric Badge
    Chapter 7 Characterization and Automation of Matching-Based Neighborhoods
  9. Altmetric Badge
    Chapter 8 Rapid Learning for Binary Programs
  10. Altmetric Badge
    Chapter 9 Hybrid Methods for the Multileaf Collimator Sequencing Problem
  11. Altmetric Badge
    Chapter 10 Automatically Exploiting Subproblem Equivalence in Constraint Programming
  12. Altmetric Badge
    Chapter 11 Single-Facility Scheduling over Long Time Horizons by Logic-Based Benders Decomposition
  13. Altmetric Badge
    Chapter 12 Integrated Maintenance Scheduling for Semiconductor Manufacturing
  14. Altmetric Badge
    Chapter 13 A Constraint Programming Approach for the Service Consolidation Problem
  15. Altmetric Badge
    Chapter 14 Solving Connected Subgraph Problems in Wildlife Conservation
  16. Altmetric Badge
    Chapter 15 Consistency Check for the Bin Packing Constraint Revisited
  17. Altmetric Badge
    Chapter 16 A Relax-and-Cut Framework for Gomory’s Mixed-Integer Cuts
  18. Altmetric Badge
    Chapter 17 An In-Out Approach to Disjunctive Optimization
  19. Altmetric Badge
    Chapter 18 A SAT Encoding for Multi-dimensional Packing Problems
  20. Altmetric Badge
    Chapter 19 Job Shop Scheduling with Setup Times and Maximal Time-Lags: A Simple Constraint Programming Approach
  21. Altmetric Badge
    Chapter 20 On the Design of the Next Generation Access Networks
  22. Altmetric Badge
    Chapter 21 Vehicle Routing for Food Rescue Programs: A Comparison of Different Approaches
  23. Altmetric Badge
    Chapter 22 Constraint Programming and Combinatorial Optimisation in Numberjack
  24. Altmetric Badge
    Chapter 23 Automated Configuration of Mixed Integer Programming Solvers
  25. Altmetric Badge
    Chapter 24 Upper Bounds on the Number of Solutions of Binary Integer Programs
  26. Altmetric Badge
    Chapter 25 Matrix Interdiction Problem
  27. Altmetric Badge
    Chapter 26 Strong Combination of Ant Colony Optimization with Constraint Programming Optimization
  28. Altmetric Badge
    Chapter 27 Service-Oriented Volunteer Computing for Massively Parallel Constraint Solving Using Portfolios
  29. Altmetric Badge
    Chapter 28 Constraint Programming with Arbitrarily Large Integer Variables
  30. Altmetric Badge
    Chapter 29 Constraint-Based Local Search for Constrained Optimum Paths Problems
  31. Altmetric Badge
    Chapter 30 Stochastic Constraint Programming by Neuroevolution with Filtering
  32. Altmetric Badge
    Chapter 31 The Weighted Spanning Tree Constraint Revisited
  33. Altmetric Badge
    Chapter 32 Constraint Reasoning with Uncertain Data Using CDF-Intervals
  34. Altmetric Badge
    Chapter 33 Revisiting the Soft Global Cardinality Constraint
  35. Altmetric Badge
    Chapter 34 A Constraint Integer Programming Approach for Resource-Constrained Project Scheduling
  36. Altmetric Badge
    Chapter 35 Strategic Planning for Disaster Recovery with Stochastic Last Mile Distribution
  37. Altmetric Badge
    Chapter 36 Massively Parallel Constraint Programming for Supercomputers: Challenges and Initial Results
  38. Altmetric Badge
    Chapter 37 Boosting Set Constraint Propagation for Network Design
  39. Altmetric Badge
    Chapter 38 More Robust Counting-Based Search Heuristics with Alldifferent Constraints
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
5 news outlets
wikipedia
1 Wikipedia page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
Published by
ADS, January 2010
DOI 10.1007/978-3-642-13520-0
ISBNs
978-3-64-213519-4, 978-3-64-213520-0
Editors

Andrea Lodi, Michela Milano, Paolo Toth

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 10%
Unknown 9 90%
Readers by discipline Count As %
Computer Science 1 10%
Unknown 9 90%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 17 September 2021.
All research outputs
#847,048
of 22,881,964 outputs
Outputs from ADS
#308
of 37,399 outputs
Outputs of similar age
#3,299
of 164,181 outputs
Outputs of similar age from ADS
#4
of 793 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,399 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 99% 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 164,181 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 793 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 99% of its contemporaries.