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Parallel and Distributed Computational Intelligence

Overview of attention for book
Cover of 'Parallel and Distributed Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing
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    Chapter 3 Evolvable Agents: A Framework for Peer-to-Peer Evolutionary Algorithms
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    Chapter 4 Evolutionary Algorithms on Volunteer Computing Platforms: The MilkyWay@Home Project
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    Chapter 5 Self-coordinated On-Chip Parallel Computing: A Swarm Intelligence Approach
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    Chapter 6 Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units
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    Chapter 7 A Review on Parallel Estimation of Distribution Algorithms
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    Chapter 8 Parallel Multi-objective Optimization Using Self-organized Heterogeneous Resources
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    Chapter 9 Parallel and Distributed Computational Intelligence
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    Chapter 10 Adaptive Scheduling Algorithms for the Dynamic Distribution and Parallel Execution of Spatial Agent-Based Models
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    Chapter 11 On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems
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    Chapter 12 Parallel and Distributed Optimization of Dynamic Data Structures for Multimedia Embedded Systems
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    Chapter 13 A Grid-Based Hybrid Hierarchical Genetic Algorithm for Protein Structure Prediction
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    Chapter 14 Laser Dynamics Modelling and Simulation: An Application of Dynamic Load Balancing of Parallel Cellular Automata
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Parallel and Distributed Computational Intelligence
Published by
Studies in Computational Intelligence, January 2010
DOI 10.1007/978-3-642-10675-0
ISBNs
978-3-64-210674-3, 978-3-64-210675-0, 978-3-64-226332-3
Authors

Francisco Fernández de Vega, Erick Cantú-Paz

Editors

Vega, Francisco Fernández, Cantú-Paz, Erick

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 6%
Brazil 1 3%
United Kingdom 1 3%
Spain 1 3%
United States 1 3%
Unknown 25 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Professor > Associate Professor 5 16%
Student > Master 5 16%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 10%
Other 3 10%
Unknown 4 13%
Readers by discipline Count As %
Computer Science 18 58%
Engineering 4 13%
Mathematics 2 6%
Physics and Astronomy 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 October 2022.
All research outputs
#8,195,356
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#49,265
of 176,164 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.5. This one scored the same or higher as 0 of them.
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 176,164 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 71% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them