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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 A Self-Adaptive Approach to Exploit Topological Properties of Different GAs’ Crossover Operators
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    Chapter 2 A Genetic Programming Encoder for Increasing Autoencoder Interpretability
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    Chapter 3 Graph Networks as Inductive Bias for Genetic Programming: Symbolic Models for Particle-Laden Flows
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    Chapter 4 Phenotype Search Trajectory Networks for Linear Genetic Programming
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    Chapter 5 GPAM: Genetic Programming with Associative Memory
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    Chapter 6 MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning
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    Chapter 7 Small Solutions for Real-World Symbolic Regression Using Denoising Autoencoder Genetic Programming
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    Chapter 8 Context Matters: Adaptive Mutation for Grammars
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    Chapter 9 A Boosting Approach to Constructing an Ensemble Stack
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    Chapter 10 Adaptive Batch Size CGP: Improving Accuracy and Runtime for CGP Logic Optimization Flow
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    Chapter 11 Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning
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    Chapter 12 Using FPGA Devices to Accelerate Tree-Based Genetic Programming: A Preliminary Exploration with Recent Technologies
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    Chapter 13 Memetic Semantic Genetic Programming for Symbolic Regression
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    Chapter 14 Grammatical Evolution with Code2vec
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    Chapter 15 Domain-Aware Feature Learning with Grammar-Guided Genetic Programming
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    Chapter 16 Genetic Improvement of LLVM Intermediate Representation
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    Chapter 17 Spatial Genetic Programming
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    Chapter 18 All You Need is Sex for Diversity
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    Chapter 19 On the Effects of Collaborators Selection and Aggregation in Cooperative Coevolution: An Experimental Analysis
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    Chapter 20 To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules
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    Chapter 21 MTGP: Combining Metamorphic Testing and Genetic Programming
  23. Altmetric Badge
    Chapter 22 Interacting Robots in an Artificial Evolutionary Ecosystem
Attention for Chapter 8: Context Matters: Adaptive Mutation for Grammars
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About this Attention Score

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

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Summary X
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Chapter title
Context Matters: Adaptive Mutation for Grammars
Chapter number 8
Book title
Genetic Programming
Published in
arXiv, January 2023
DOI 10.1007/978-3-031-29573-7_8
Book ISBNs
978-3-03-129572-0, 978-3-03-129573-7
Authors

Carvalho, Pedro, Mégane, Jessica, Lourenço, Nuno, Machado, Penousal, Pedro Carvalho, Jessica Mégane, Nuno Lourenço, Penousal Machado

View on publisher site
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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 2 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 April 2023.
All research outputs
#15,318,246
of 23,556,846 outputs
Outputs from arXiv
#333,100
of 974,337 outputs
Outputs of similar age
#215,876
of 437,473 outputs
Outputs of similar age from arXiv
#11,629
of 37,808 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 974,337 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 60% 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 437,473 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37,808 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 65% of its contemporaries.

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