↓ Skip to main content

Learning and Intelligent Optimization

Overview of attention for book
Cover of 'Learning and Intelligent Optimization'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Evolutionary Dynamics of Extremal Optimization
  3. Altmetric Badge
    Chapter 2 A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing
  4. Altmetric Badge
    Chapter 3 Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
  5. Altmetric Badge
    Chapter 4 New Bounds on the Clique Number of Graphs Based on Spectral Hypergraph Theory
  6. Altmetric Badge
    Chapter 5 Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows
  7. Altmetric Badge
    Chapter 6 Flexible Stochastic Local Search for Haplotype Inference
  8. Altmetric Badge
    Chapter 7 A Knowledge Discovery Approach to Understanding Relationships between Scheduling Problem Structure and Heuristic Performance
  9. Altmetric Badge
    Chapter 8 Fitness Landscape Analysis for the Resource Constrained Project Scheduling Problem
  10. Altmetric Badge
    Chapter 9 An ACO-Based Reactive Framework for Ant Colony Optimization: First Experiments on Constraint Satisfaction Problems
  11. Altmetric Badge
    Chapter 10 Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines
  12. Altmetric Badge
    Chapter 11 Position-Guided Tabu Search Algorithm for the Graph Coloring Problem
  13. Altmetric Badge
    Chapter 12 Corridor Selection and Fine Tuning for the Corridor Method
  14. Altmetric Badge
    Chapter 13 Dynamic Multi-Armed Bandits and Extreme Value-Based Rewards for Adaptive Operator Selection in Evolutionary Algorithms
  15. Altmetric Badge
    Chapter 14 Comparison of Coarsening Schemes for Multilevel Graph Partitioning
  16. Altmetric Badge
    Chapter 15 Cooperative Strategies and Reactive Search: A Hybrid Model Proposal
  17. Altmetric Badge
    Chapter 16 Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems
  18. Altmetric Badge
    Chapter 17 Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment
  19. Altmetric Badge
    Chapter 18 A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps
  20. Altmetric Badge
    Chapter 19 Substitution Matrices and Mutual Information Approaches to Modeling Evolution
Attention for Chapter 2: A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
13 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.
Chapter title
A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing
Chapter number 2
Book title
Learning and Intelligent Optimization
Published in
Lecture notes in computer science, January 2009
DOI 10.1007/978-3-642-11169-3_2
Book ISBNs
978-3-64-211168-6, 978-3-64-211169-3
Authors

Rong Qu, Ying Xu, Graham Kendall

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Master 3 23%
Other 2 15%
Researcher 2 15%
Lecturer 2 15%
Other 1 8%
Readers by discipline Count As %
Computer Science 6 46%
Business, Management and Accounting 3 23%
Engineering 2 15%
Agricultural and Biological Sciences 1 8%
Unknown 1 8%
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 28 May 2018.
All research outputs
#20,219,902
of 22,743,667 outputs
Outputs from Lecture notes in computer science
#6,982
of 8,126 outputs
Outputs of similar age
#164,281
of 170,001 outputs
Outputs of similar age from Lecture notes in computer science
#149
of 177 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 170,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.