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Genetic Programming

Overview of attention for book
Cover of 'Genetic Programming'

Table of Contents

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    Book Overview
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    Chapter 1 A Pipelined Hardware Implementation of Genetic Programming Using FPGAs and Handel-C
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    Chapter 2 Finding Needles in Haystacks Is Not Hard with Neutrality
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    Chapter 3 Routine Duplication of Post-2000 Patented Inventions by Means of Genetic Programming
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    Chapter 4 Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming
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    Chapter 5 Discovery of the Boolean Functions to the Best Density-Classification Rules Using Gene Expression Programming
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    Chapter 6 Combining Decision Trees and Neural Networks for Drug Discovery
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    Chapter 7 Evolving Fuzzy Decision Trees with Genetic Programming and Clustering
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    Chapter 8 Linear-Graph GP - A New GP Structure
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    Chapter 9 Parallel Surface Reconstruction
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    Chapter 10 Evolving Classifiers to Model the Relationship between Strategy and Corporate Performance Using Grammatical Evolution
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    Chapter 11 A New View on Symbolic Regression
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    Chapter 12 Grammatical Evolution Rules: The Mod and the Bucket Rule
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    Chapter 13 No Coercion and No Prohibition, a Position Independent Encoding Scheme for Evolutionary Algorithms – The Chorus System
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    Chapter 14 Exons and Code Growth in Genetic Programming
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    Chapter 15 Uniform Subtree Mutation
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    Chapter 16 Maintaining the Diversity of Genetic Programs
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    Chapter 17 N-Version Genetic Programming via Fault Masking
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    Chapter 18 An Analysis of Koza’s Computational Effort Statistic for Genetic Programming
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    Chapter 19 Genetic Control Applied to Asset Managements
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    Chapter 20 Evolutionary Algorithm Approach to Bilateral Negotiations
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    Chapter 21 Allele Diffusion in Linear Genetic Programming and Variable-Length Genetic Algorithms with Subtree Crossover
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    Chapter 22 Some Experimental Results with Tree Adjunct Grammar Guided Genetic Programming
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    Chapter 23 A Puzzle to Challenge Genetic Programming
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    Chapter 24 Transformation of Equational Specification by Means of Genetic Programming
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    Chapter 25 Automatic Generation of Control Programs for Walking Robots Using Genetic Programming
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    Chapter 26 An Investigation into the Use of Different Search Strategies with Grammatical Evolution
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    Chapter 27 Genetic Programming
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    Chapter 28 A Brute-Force Approac to Automatic Induction of Machine Code on CISC Architectures
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    Chapter 29 Deriving Genetic Programming Fitness Properties by Static Analysis
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    Chapter 30 New Results on Fuzzy Regression by Using Genetic Programming
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    Chapter 31 Coevolution Produces an Arms Race among Virtual Plants
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    Chapter 32 Comparing Synchronous and Asynchronous Parallel and Distributed Genetic Programming Models
Attention for Chapter 27: Genetic Programming
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Chapter title
Genetic Programming
Chapter number 27
Book title
Genetic Programming
Published in
Lecture notes in computer science, April 2002
DOI 10.1007/3-540-45984-7_27
Book ISBNs
978-3-54-043378-1, 978-3-54-045984-2
Authors

Ryan, Conor, Conor Ryan, Miguel Nicolau, Michael O’Neill, Nicolau, Miguel, O’Neill, Michael

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

Geographical breakdown

Country Count As %
United Kingdom 2 8%
Japan 1 4%
Portugal 1 4%
Italy 1 4%
Unknown 21 81%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 27%
Student > Ph. D. Student 5 19%
Researcher 4 15%
Professor > Associate Professor 3 12%
Lecturer 2 8%
Other 4 15%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 18 69%
Engineering 3 12%
Biochemistry, Genetics and Molecular Biology 1 4%
Physics and Astronomy 1 4%
Economics, Econometrics and Finance 1 4%
Other 0 0%
Unknown 2 8%
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 02 December 2016.
All research outputs
#20,721,996
of 23,321,213 outputs
Outputs from Lecture notes in computer science
#7,032
of 8,159 outputs
Outputs of similar age
#120,954
of 122,373 outputs
Outputs of similar age from Lecture notes in computer science
#22
of 22 outputs
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So far Altmetric has tracked 8,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.