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Genetic Programming

Overview of attention for book
Cover of 'Genetic Programming'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Evolutionary Program Sketching
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    Chapter 2 Exploring Fitness and Edit Distance of Mutated Python Programs
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    Chapter 3 Differentiable Genetic Programming
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    Chapter 4 Evolving Game State Features from Raw Pixels
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    Chapter 5 Emergent Tangled Graph Representations for Atari Game Playing Agents
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    Chapter 6 A General Feature Engineering Wrapper for Machine Learning Using $$\epsilon $$ -Lexicase Survival
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    Chapter 7 Visualising the Search Landscape of the Triangle Program
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    Chapter 8 RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming
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    Chapter 9 Symbolic Regression on Network Properties
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    Chapter 10 Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming
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    Chapter 11 Strategies for Improving the Distribution of Random Function Outputs in GSGP
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    Chapter 12 Synthesis of Mathematical Programming Constraints with Genetic Programming
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    Chapter 13 Grammatical Evolution of Robust Controller Structures Using Wilson Scoring and Criticality Ranking
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    Chapter 14 Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data
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    Chapter 15 Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression
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    Chapter 16 RECIPE: A Grammar-Based Framework for Automatically Evolving Classification Pipelines
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    Chapter 17 A Grammar Design Pattern for Arbitrary Program Synthesis Problems in Genetic Programming
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    Chapter 18 Improving the Tartarus Problem as a Benchmark in Genetic Programming
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    Chapter 19 A New Subgraph Crossover for Cartesian Genetic Programming
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    Chapter 20 A Comparative Study of Different Grammar-Based Genetic Programming Approaches
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    Chapter 21 A Comparative Analysis of Dynamic Locality and Redundancy in Grammatical Evolution
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    Chapter 22 On Evolutionary Approximation of Sigmoid Function for HW/SW Embedded Systems
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
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

18 tweeters
1 Facebook page


1 Dimensions

Readers on

15 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.
Genetic Programming
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-55696-3
978-3-31-955695-6, 978-3-31-955696-3

McDermott James , Castelli Mauro , Sekanina Lukas , Haasdijk Evert , García-Sánchez Pablo 

Twitter Demographics

The data shown below were collected from the profiles of 18 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Student > Doctoral Student 2 13%
Student > Master 2 13%
Researcher 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 6 40%
Readers by discipline Count As %
Engineering 3 20%
Computer Science 3 20%
Energy 1 7%
Mathematics 1 7%
Unknown 7 47%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 12 May 2017.
All research outputs
of 12,719,346 outputs
Outputs from Lecture notes in computer science
of 7,333 outputs
Outputs of similar age
of 259,948 outputs
Outputs of similar age from Lecture notes in computer science
of 107 outputs
Altmetric has tracked 12,719,346 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,333 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 91% 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 259,948 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 79% of its contemporaries.
We're also able to compare this research output to 107 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 90% of its contemporaries.