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Genetic Programming

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Cover of 'Genetic Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Evolving High-Level Imperative Program Trees with Strongly Formed Genetic Programming
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    Chapter 2 Android Genetic Programming Framework
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    Chapter 3 Genetic Programming for Generalised Helicopter Hovering Control
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    Chapter 4 Cartesian Genetic Programming for Memristive Logic Circuits
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    Chapter 5 Genetic Programming
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    Chapter 6 Medial Crossovers for Genetic Programming
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    Chapter 7 Improving Face Detection
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    Chapter 8 Genetic Programming
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    Chapter 9 Improving Relevance Measures Using Genetic Programming
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    Chapter 10 An Investigation of Fitness Sharing with Semantic and Syntactic Distance Metrics
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    Chapter 11 Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming
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    Chapter 12 Genetic Programming
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    Chapter 13 Multi-Objective Ant Programming for Mining Classification Rules
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    Chapter 14 Matrix Analysis of Genetic Programming Mutation
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    Chapter 15 An Ecological Approach to Measuring Locality in Linear Genotype to Phenotype Maps
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    Chapter 16 Coevolution in Cartesian Genetic Programming
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    Chapter 17 Evolutionary Design of Message Efficient Secrecy Amplification Protocols
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    Chapter 18 Automatic Design of Ant Algorithms with Grammatical Evolution
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    Chapter 19 Random Sampling Technique for Overfitting Control in Genetic Programming
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    Chapter 20 Evolutionary Operator Self-adaptation with Diverse Operators
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    Chapter 21 The Effect of Bloat on the Efficiency of Incremental Evolution of Simulated Snake-Like Robot
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    Chapter 22 Bayesian Network Structure Learning from Limited Datasets through Graph Evolution
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    Chapter 23 Efficient Phenotype Evaluation in Cartesian Genetic Programming
Attention for Chapter 4: Cartesian Genetic Programming for Memristive Logic Circuits
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Chapter title
Cartesian Genetic Programming for Memristive Logic Circuits
Chapter number 4
Book title
Genetic Programming
Published by
Springer, Berlin, Heidelberg, April 2012
DOI 10.1007/978-3-642-29139-5_4
Book ISBNs
978-3-64-229138-8, 978-3-64-229139-5
Authors

Gerard David Howard, Larry Bull, Andrew Adamatzky

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
United States 1 6%
Italy 1 6%
Unknown 14 82%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Student > Ph. D. Student 4 24%
Professor > Associate Professor 3 18%
Researcher 2 12%
Student > Bachelor 1 6%
Other 0 0%
Unknown 2 12%
Readers by discipline Count As %
Computer Science 11 65%
Engineering 2 12%
Physics and Astronomy 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 2 12%