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Genetic Programming

Overview of attention for book
Cover of 'Genetic Programming'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
Attention for Chapter 3: Differentiable Genetic Programming
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
64 Mendeley
citeulike
1 CiteULike
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Chapter title
Differentiable Genetic Programming
Chapter number 3
Book title
Genetic Programming
Published in
Lecture notes in computer science, March 2017
DOI 10.1007/978-3-319-55696-3_3
Book ISBNs
978-3-31-955695-6, 978-3-31-955696-3
Authors

Dario Izzo, Francesco Biscani, Alessio Mereta, Dario Izzo, Francesco Biscani, Alessio Mereta, Izzo, Dario, Biscani, Francesco, Mereta, Alessio

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Luxembourg 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Student > Master 14 22%
Other 8 13%
Researcher 6 9%
Student > Bachelor 5 8%
Other 8 13%
Unknown 9 14%
Readers by discipline Count As %
Computer Science 30 47%
Engineering 15 23%
Physics and Astronomy 2 3%
Mathematics 1 2%
Psychology 1 2%
Other 5 8%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 October 2022.
All research outputs
#7,746,777
of 23,555,482 outputs
Outputs from Lecture notes in computer science
#2,493
of 8,139 outputs
Outputs of similar age
#122,175
of 309,352 outputs
Outputs of similar age from Lecture notes in computer science
#22
of 104 outputs
Altmetric has tracked 23,555,482 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,139 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 54% 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 309,352 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 52% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.