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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 An Algorithmic Chemistry for Genetic Programming
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    Chapter 2 Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner
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    Chapter 3 Automated Re-invention of a Previously Patented Optical Lens System Using Genetic Programming
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    Chapter 4 Bayesian Automatic Programming
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    Chapter 5 Dynamic Size Populations in Distributed Genetic Programming
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    Chapter 6 Evolution of Robot Controller Using Cartesian Genetic Programming
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    Chapter 7 Genetic Programming
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    Chapter 8 Evolving Rules for Document Classification
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    Chapter 9 Genetic Programming in Wireless Sensor Networks
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    Chapter 10 Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator
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    Chapter 11 GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players
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    Chapter 12 GP-Gammon: Using Genetic Programming to Evolve Backgammon Players
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    Chapter 13 GP-Robocode: Using Genetic Programming to Evolve Robocode Players
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    Chapter 14 Incorporating Learning Probabilistic Context-Sensitive Grammar in Genetic Programming for Efficient Evolution and Adaptation of Snakebot
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    Chapter 15 Multi-logic-Unit Processor: A Combinational Logic Circuit Evaluation Engine for Genetic Parallel Programming
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    Chapter 16 Operator-Based Distance for Genetic Programming: Subtree Crossover Distance
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    Chapter 17 Repeated Patterns in Tree Genetic Programming
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    Chapter 18 Tarpeian Bloat Control and Generalization Accuracy
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    Chapter 19 Genetic Programming
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    Chapter 20 Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems
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    Chapter 21 Context-Based Repeated Sequences in Linear Genetic Programming
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    Chapter 22 Evolution of a Strategy for Ship Guidance Using Two Implementations of Genetic Programming
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    Chapter 23 Evolution of Vertex and Pixel Shaders
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    Chapter 24 Evolve Schema Directly Using Instruction Matrix Based Genetic Programming
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    Chapter 25 Evolving Defence Strategies by Genetic Programming
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    Chapter 26 Extending Particle Swarm Optimisation via Genetic Programming
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    Chapter 27 Inducing Diverse Decision Forests with Genetic Programming
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    Chapter 28 mGGA: The meta-Grammar Genetic Algorithm
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    Chapter 29 On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features
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    Chapter 30 Relative Fitness and Absolute Fitness for Co-evolutionary Systems
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    Chapter 31 Teams of Genetic Predictors for Inverse Problem Solving
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    Chapter 32 Understanding Evolved Genetic Programs for a Real World Object Detection Problem
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    Chapter 33 Undirected Training of Run Transferable Libraries
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    Chapter 34 Genetic Programming
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
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
1 X user
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Genetic Programming
Published by
Lecture notes in computer science, January 2005
DOI 10.1007/b107383
ISBNs
978-3-54-025436-2, 978-3-54-031989-4
Authors

Maarten Keijzer, Andrea Tettamanzi, Pierre Collet, Jano van Hemert, Marco Tomassini

Editors

Keijzer, Maarten, Tettamanzi, Andrea, Collet, Pierre, Hemert, Jano, Tomassini, Marco

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 13%
Brazil 2 13%
France 2 13%
Australia 1 7%
Italy 1 7%
Portugal 1 7%
Nigeria 1 7%
Japan 1 7%
United States 1 7%
Other 1 7%
Unknown 2 13%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 100%
Professor > Associate Professor 11 73%
Student > Master 10 67%
Researcher 8 53%
Student > Bachelor 4 27%
Other 14 93%
Readers by discipline Count As %
Computer Science 38 253%
Engineering 7 47%
Unspecified 4 27%
Physics and Astronomy 3 20%
Business, Management and Accounting 2 13%
Other 8 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 February 2022.
All research outputs
#4,671,336
of 23,072,295 outputs
Outputs from Lecture notes in computer science
#1,516
of 8,145 outputs
Outputs of similar age
#16,731
of 140,452 outputs
Outputs of similar age from Lecture notes in computer science
#24
of 133 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 81% 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 140,452 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 87% of its contemporaries.
We're also able to compare this research output to 133 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.