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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 Genetic Programming
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    Chapter 2 Controlling Bloat through Parsimonious Elitist Replacement and Spatial Structure
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    Chapter 3 Generation of VNS Components with Grammatical Evolution for Vehicle Routing
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    Chapter 4 Understanding Expansion Order and Phenotypic Connectivity in πGE
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    Chapter 5 PhenoGP: Combining Programs to Avoid Code Disruption
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    Chapter 6 Reducing Wasted Evaluations in Cartesian Genetic Programming
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    Chapter 7 Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data
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    Chapter 8 Automated Design of Probability Distributions as Mutation Operators for Evolutionary Programming Using Genetic Programming
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    Chapter 9 Robustness and Evolvability of Recombination in Linear Genetic Programming
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    Chapter 10 On the Evolvability of a Hybrid Ant Colony-Cartesian Genetic Programming Methodology
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    Chapter 11 Discovering Subgroups by Means of Genetic Programming
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    Chapter 12 Genetic Programming
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    Chapter 13 Searching for Novel Classifiers
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    Chapter 14 Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming
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    Chapter 15 Automated Problem Decomposition for the Boolean Domain with Genetic Programming
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    Chapter 16 A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking Process
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    Chapter 17 Semantic Bias in Program Coevolution
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    Chapter 18 A New Implementation of Geometric Semantic GP and Its Application to Problems in Pharmacokinetics
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    Chapter 19 A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification
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    Chapter 20 Global Top-Scoring Pair Decision Tree for Gene Expression Data Analysis
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    Chapter 21 Asynchronous Evaluation Based Genetic Programming: Comparison of Asynchronous and Synchronous Evaluation and Its Analysis
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    Chapter 22 Genetic Programming
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    Chapter 23 Examining the Diversity Property of Semantic Similarity Based Crossover
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Genetic Programming
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-37207-0
ISBNs
978-3-64-237206-3, 978-3-64-237207-0
Authors

Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. Şima Etaner-Uyar, Bin Hu

Editors

Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. Şima Etaner-Uyar, Bin Hu

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 11%
Other 1 11%
Student > Postgraduate 1 11%
Unknown 6 67%
Readers by discipline Count As %
Chemical Engineering 1 11%
Computer Science 1 11%
Engineering 1 11%
Unknown 6 67%
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 21 May 2016.
All research outputs
#13,457,134
of 22,846,662 outputs
Outputs from Lecture notes in computer science
#3,994
of 8,126 outputs
Outputs of similar age
#158,727
of 281,217 outputs
Outputs of similar age from Lecture notes in computer science
#147
of 314 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 281,217 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 314 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 50% of its contemporaries.