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Applications of Evolutionary Computation

Overview of attention for book
Cover of 'Applications of Evolutionary Computation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines
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    Chapter 2 On the Use of Smelly Examples to Detect Code Smells in JavaScript
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    Chapter 3 Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka
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    Chapter 4 Focusing Learning-Based Testing Away from Known Weaknesses
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    Chapter 5 Polytypic Genetic Programming
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    Chapter 6 Evolving Rules for Action Selection in Automated Testing via Genetic Programming - A First Approach
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    Chapter 7 A New Multi-swarm Particle Swarm Optimization for Robust Optimization Over Time
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    Chapter 8 The Static and Stochastic VRP with Time Windows and both Random Customers and Reveal Times
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    Chapter 9 Pre-scheduled Colony Size Variation in Dynamic Environments
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    Chapter 10 An Online Packing Heuristic for the Three-Dimensional Container Loading Problem in Dynamic Environments and the Physical Internet
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    Chapter 11 Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology
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    Chapter 12 Road Traffic Rules Synthesis Using Grammatical Evolution
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    Chapter 13 Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm
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    Chapter 14 Meta-heuristics for Improved RF Emitter Localization
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    Chapter 15 Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm
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
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
12 tweeters

Readers on

mendeley
2 Mendeley
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Title
Applications of Evolutionary Computation
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-55792-2
ISBNs
978-3-31-955791-5, 978-3-31-955792-2
Editors

Squillero Giovanni, Sim Kevin

Twitter Demographics

The data shown below were collected from the profiles of 12 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 150%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 03 June 2018.
All research outputs
#1,533,460
of 13,028,155 outputs
Outputs from Lecture notes in computer science
#530
of 7,350 outputs
Outputs of similar age
#48,301
of 262,491 outputs
Outputs of similar age from Lecture notes in computer science
#8
of 115 outputs
Altmetric has tracked 13,028,155 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,350 research outputs from this source. They receive a mean Attention Score of 4.4. 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 262,491 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 81% of its contemporaries.
We're also able to compare this research output to 115 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 93% of its contemporaries.