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Applications of Evolutionary Computation

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

Table of Contents

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    Book Overview
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    Chapter 1 Local Fitness Meta-Models with Nearest Neighbor Regression
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    Chapter 2 Validating the Grid Diversity Operator: An Infusion Technique for Diversity Maintenance in Population-Based Optimisation Algorithms
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    Chapter 3 Benchmarking Languages for Evolutionary Algorithms
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    Chapter 4 On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front
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    Chapter 5 Evolving Smoothing Kernels for Global Optimization
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    Chapter 6 Implementing Parallel Differential Evolution on Spark
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    Chapter 7 ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithms
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    Chapter 8 Addressing High Dimensional Multi-objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces
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    Chapter 9 Compilable Phenotypes: Speeding-Up the Evaluation of Glucose Models in Grammatical Evolution
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    Chapter 10 GPU Accelerated Molecular Docking Simulation with Genetic Algorithms
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    Chapter 11 Challenging Anti-virus Through Evolutionary Malware Obfuscation
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    Chapter 12 Leveraging Online Racing and Population Cloning in Evolutionary Multirobot Systems
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    Chapter 13 Multi-agent Behavior-Based Policy Transfer
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    Chapter 14 On-line Evolution of Foraging Behaviour in a Population of Real Robots
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    Chapter 15 Hybrid Control for a Real Swarm Robotics System in an Intruder Detection Task
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    Chapter 16 Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments
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    Chapter 17 Simheuristics for the Multiobjective Nondeterministic Firefighter Problem in a Time-Constrained Setting
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    Chapter 18 Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation
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    Chapter 19 Genetic Programming Algorithms for Dynamic Environments
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    Chapter 20 A Memory-Based NSGA-II Algorithm for Dynamic Multi-objective Optimization Problems
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    Chapter 21 Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems
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 (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Applications of Evolutionary Computation
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-31153-1
ISBNs
978-3-31-931152-4, 978-3-31-931153-1
Editors

Giovanni Squillero, Paolo Burelli

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 7 19%
Researcher 5 14%
Lecturer > Senior Lecturer 2 6%
Other 2 6%
Student > Master 2 6%
Other 6 17%
Unknown 12 33%
Readers by discipline Count As %
Computer Science 14 39%
Engineering 3 8%
Chemistry 2 6%
Business, Management and Accounting 1 3%
Decision Sciences 1 3%
Other 0 0%
Unknown 15 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 April 2021.
All research outputs
#6,162,214
of 22,858,915 outputs
Outputs from Lecture notes in computer science
#2,020
of 8,127 outputs
Outputs of similar age
#98,297
of 393,637 outputs
Outputs of similar age from Lecture notes in computer science
#227
of 581 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 74% 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 393,637 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 74% of its contemporaries.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.