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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 Ariadne : Evolving Test Data Using Grammatical Evolution
  3. Altmetric Badge
    Chapter 2 Quantum Program Synthesis: Swarm Algorithms and Benchmarks
  4. Altmetric Badge
    Chapter 3 A Genetic Programming Approach to Predict Mosquitoes Abundance
  5. Altmetric Badge
    Chapter 4 Complex Network Analysis of a Genetic Programming Phenotype Network
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    Chapter 5 Improving Genetic Programming with Novel Exploration - Exploitation Control
  7. Altmetric Badge
    Chapter 6 Towards a Scalable EA-Based Optimization of Digital Circuits
  8. Altmetric Badge
    Chapter 7 Cartesian Genetic Programming as an Optimizer of Programs Evolved with Geometric Semantic Genetic Programming
  9. Altmetric Badge
    Chapter 8 Can Genetic Programming Do Manifold Learning Too?
  10. Altmetric Badge
    Chapter 9 Why Is Auto-Encoding Difficult for Genetic Programming?
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    Chapter 10 Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
  12. Altmetric Badge
    Chapter 11 A Model of External Memory for Navigation in Partially Observable Visual Reinforcement Learning Tasks
  13. Altmetric Badge
    Chapter 12 Fault Detection and Classification for Induction Motors Using Genetic Programming
  14. Altmetric Badge
    Chapter 13 Fast DENSER: Efficient Deep NeuroEvolution
  15. Altmetric Badge
    Chapter 14 A Vectorial Approach to Genetic Programming
  16. Altmetric Badge
    Chapter 15 Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions
  17. Altmetric Badge
    Chapter 16 Evolving AVX512 Parallel C Code Using GP
  18. Altmetric Badge
    Chapter 17 Hyper-bent Boolean Functions and Evolutionary Algorithms
  19. Altmetric Badge
    Chapter 18 Learning Class Disjointness Axioms Using Grammatical Evolution
Attention for Chapter 10: Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
5 Mendeley
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Chapter title
Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
Chapter number 10
Book title
Genetic Programming
Published in
arXiv, April 2019
DOI 10.1007/978-3-030-16670-0_10
Book ISBNs
978-3-03-016669-4, 978-3-03-016670-0
Authors

Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz, Sipper, Moshe, Moore, Jason H., Urbanowicz, Ryan J.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Researcher 1 20%
Other 1 20%
Unknown 2 40%
Readers by discipline Count As %
Engineering 2 40%
Computer Science 1 20%
Unknown 2 40%
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 March 2023.
All research outputs
#6,895,757
of 24,501,737 outputs
Outputs from arXiv
#137,230
of 987,145 outputs
Outputs of similar age
#121,755
of 355,496 outputs
Outputs of similar age from arXiv
#4,362
of 25,958 outputs
Altmetric has tracked 24,501,737 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 987,145 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 85% 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 355,496 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 65% of its contemporaries.
We're also able to compare this research output to 25,958 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.