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Genetic Programming

Overview of attention for book
Cover of 'Genetic Programming'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming
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    Chapter 2 Evolutionary Approximation of Edge Detection Circuits
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    Chapter 3 On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets
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    Chapter 4 Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data
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    Chapter 5 Surrogate Fitness via Factorization of Interaction Matrix
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    Chapter 6 Scheduling in Heterogeneous Networks Using Grammar-Based Genetic Programming
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    Chapter 7 On the Analysis of Simple Genetic Programming for Evolving Boolean Functions
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    Chapter 8 Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches
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    Chapter 9 A Genetic Programming Approach for the Traffic Signal Control Problem with Epigenetic Modifications
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    Chapter 10 A Genetic Programming-Based Imputation Method for Classification with Missing Data
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    Chapter 11 Plastic Fitness Predictors Coevolved with Cartesian Programs
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    Chapter 12 Search-Based SQL Injection Attacks Testing Using Genetic Programming
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    Chapter 13 Grammar Design for Derivation Tree Based Genetic Programming Systems
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    Chapter 14 Modelling Evolvability in Genetic Programming
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    Chapter 15 Towards Automated Strategies in Satisfiability Modulo Theory
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    Chapter 16 Geometric Semantic Genetic Programming Is Overkill
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    Chapter 17 Semantic Geometric Initialization
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    Chapter 18 Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application
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    Chapter 19 Iterative Cartesian Genetic Programming: Creating General Algorithms for Solving Travelling Salesman Problems
Overall attention for this book and its chapters
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Mentioned by

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2 X users

Citations

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25 Mendeley
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Title
Genetic Programming
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-30668-1
ISBNs
978-3-31-930667-4, 978-3-31-930668-1
Authors

Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim

Editors

Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 4%
Unknown 24 96%
Readers by discipline Count As %
Computer Science 1 4%
Unknown 24 96%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 2016.
All research outputs
#15,365,885
of 22,858,915 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,127 outputs
Outputs of similar age
#230,937
of 393,637 outputs
Outputs of similar age from Lecture notes in computer science
#382
of 581 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 393,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.