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Hybrid Metaheuristics

Overview of attention for book
Hybrid Metaheuristics
Springer-Verlag Berlin Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Unified Taxonomy of Hybrid Metaheuristics with Mathematical Programming, Constraint Programming and Machine Learning
  3. Altmetric Badge
    Chapter 2 Hybrid Metaheuristics for Dynamic and Stochastic Vehicle Routing
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    Chapter 3 Combining Two Search Paradigms for Multi-objective Optimization: Two-Phase and Pareto Local Search
  5. Altmetric Badge
    Chapter 4 Hybridizing Cellular GAs with Active Components of Bio-inspired Algorithms
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    Chapter 5 Hybridizations of GRASP with Path-Relinking
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    Chapter 6 Hybrid Metaheuristics for the Graph Partitioning Problem
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    Chapter 7 Hybrid Metaheuristics for Medical Data Classification
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    Chapter 8 HydroCM: A Hybrid Parallel Search Model for Heterogeneous Platforms
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    Chapter 9 A Multi-thread GRASPxELS for the Heterogeneous Capacitated Vehicle Routing Problem
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    Chapter 10 The Heuristic (Dark) Side of MIP Solvers
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    Chapter 11 Combining Column Generation and Metaheuristics
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    Chapter 12 Application of Large Neighborhood Search to Strategic Supply Chain Management in the Chemical Industry
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    Chapter 13 A VNS-Based Heuristic for Feature Selection in Data Mining
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    Chapter 14 Scheduling English Football Fixtures: Consideration of Two Conflicting Objectives
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    Chapter 15 A Multi-paradigm Tool for Large Neighborhood Search
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    Chapter 16 Predicting Metaheuristic Performance on Graph Coloring Problems Using Data Mining
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    Chapter 17 Boosting Metaheuristic Search Using Reinforcement Learning
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
  • Among the highest-scoring outputs from this source (#29 of 397)
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
9 X users
facebook
1 Facebook page

Readers on

mendeley
3 Mendeley
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Title
Hybrid Metaheuristics
Published by
Studies in Computational Intelligence, January 2013
DOI 10.1007/978-3-642-30671-6
ISBNs
978-3-64-230670-9, 978-3-64-230671-6, 978-3-64-242905-7
Editors

El-Ghazali Talbi

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Master 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 1 33%
Attention Score in Context

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 09 June 2024.
All research outputs
#5,035,592
of 26,289,377 outputs
Outputs from Studies in Computational Intelligence
#29
of 397 outputs
Outputs of similar age
#48,192
of 294,332 outputs
Outputs of similar age from Studies in Computational Intelligence
#3
of 18 outputs
Altmetric has tracked 26,289,377 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 397 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 92% 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 294,332 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 83% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.