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Integration of Constraint Programming, Artificial Intelligence, and Operations Research

Overview of attention for book
Cover of 'Integration of Constraint Programming, Artificial Intelligence, and Operations Research'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Constraint Programming for Dynamic Symbolic Execution of JavaScript
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    Chapter 2 Sequential and Parallel Solution-Biased Search for Subgraph Algorithms
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    Chapter 3 Core-Boosted Linear Search for Incomplete MaxSAT
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    Chapter 4 Binary Decision Diagrams for Bin Packing with Minimum Color Fragmentation
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    Chapter 5 Local Rapid Learning for Integer Programs
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    Chapter 6 A Status Report on Conflict Analysis in Mixed Integer Nonlinear Programming
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    Chapter 7 Generating Compound Moves in Local Search by Hybridisation with Complete Search
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    Chapter 8 SAT Encodings of Pseudo-Boolean Constraints with At-Most-One Relations
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    Chapter 9 A Constraint Programming Approach to Electric Vehicle Routing with Time Windows
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    Chapter 10 A Sampling-Free Anticipatory Algorithm for the Kidney Exchange Problem
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    Chapter 11 Evaluating Ising Processing Units with Integer Programming
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    Chapter 12 Using Cost-Based Solution Densities from TSP Relaxations to Solve Routing Problems
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    Chapter 13 A Counting-Based Approach to Scalable Micro-service Deployment
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    Chapter 14 An Optimization Approach to the Ordering Phase of an Attended Home Delivery Service
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    Chapter 15 Consistency for 0–1 Programming
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    Chapter 16 An Investigation into Prediction + Optimisation for the Knapsack Problem
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    Chapter 17 The Maximum Weighted Submatrix Coverage Problem: A CP Approach
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    Chapter 18 Learning MILP Resolution Outcomes Before Reaching Time-Limit
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    Chapter 19 An Improved Subsumption Testing Algorithm for the Optimal-Size Sorting Network Problem
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    Chapter 20 Investigating Constraint Programming for Real World Industrial Test Laboratory Scheduling
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    Chapter 21 An Approach to Robustness in the Stable Roommates Problem and Its Comparison with the Stable Marriage Problem
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    Chapter 22 Optimality Clue for Graph Coloring Problem
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    Chapter 23 Computing Wasserstein Barycenters via Linear Programming
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    Chapter 24 Repairing Learned Controllers with Convex Optimization: A Case Study
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    Chapter 25 A Hybrid Approach for Exact Coloring of Massive Graphs
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    Chapter 26 Modelling and Solving the Minimum Shift Design Problem
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    Chapter 27 A Computational Comparison of Optimization Methods for the Golomb Ruler Problem
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    Chapter 28 A New CP-Approach for a Parallel Machine Scheduling Problem with Time Constraints on Machine Qualifications
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    Chapter 29 Efficient Solution Methods for the Cumulative-Interference Channel Assignment Problem Using Integer Optimization and Constraint Programming
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    Chapter 30 Heat Exchanger Circuitry Design by Decision Diagrams
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    Chapter 31 Column Generation for Real-Time Ride-Sharing Operations
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    Chapter 32 Some Experiments with Submodular Function Maximization via Integer Programming
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    Chapter 33 Metric Hybrid Factored Planning in Nonlinear Domains with Constraint Generation
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    Chapter 34 Last-Mile Scheduling Under Uncertainty
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    Chapter 35 Building Optimal Steiner Trees on Supercomputers by Using up to 43,000 Cores
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    Chapter 36 Deep Inverse Optimization
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    Chapter 37 A Study on the Traveling Salesman Problem with a Drone
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    Chapter 38 Lower Bounds for Uniform Machine Scheduling Using Decision Diagrams
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    Chapter 39 Extending Compact-Diagram to Basic Smart Multi-Valued Variable Diagrams
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    Chapter 40 Arc Consistency Revisited
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    Chapter 41 Embedding Decision Diagrams into Generative Adversarial Networks
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    Chapter 42 Time Table Edge Finding with Energy Variables
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    Chapter 43 Quadratic Reformulation of Nonlinear Pseudo-Boolean Functions via the Constraint Composite Graph
Attention for Chapter 11: Evaluating Ising Processing Units with Integer Programming
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
7 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
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Chapter title
Evaluating Ising Processing Units with Integer Programming
Chapter number 11
Book title
Integration of Constraint Programming, Artificial Intelligence, and Operations Research
Published in
arXiv, June 2019
DOI 10.1007/978-3-030-19212-9_11
Book ISBNs
978-3-03-019211-2, 978-3-03-019212-9
Authors

Carleton Coffrin, Harsha Nagarajan, Russell Bent

Twitter Demographics

The data shown below were collected from the profiles of 7 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 40%
Researcher 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Physics and Astronomy 2 40%
Unknown 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 July 2017.
All research outputs
#6,554,841
of 12,372,270 outputs
Outputs from arXiv
#107,984
of 577,670 outputs
Outputs of similar age
#109,130
of 269,797 outputs
Outputs of similar age from arXiv
#5,347
of 27,869 outputs
Altmetric has tracked 12,372,270 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 577,670 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 79% 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 269,797 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 27,869 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.