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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 On the Impact of the Representation on Fitness Landscapes
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    Chapter 2 The Legion System: A Novel Approach to Evolving Heterogeneity for Collective Problem Solving
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    Chapter 3 Metric Based Evolutionary Algorithms
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    Chapter 4 Register Based Genetic Programming on FPGA Computing Platforms
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    Chapter 5 An Extrinsic Function-Level Evolvable Hardware Approach
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    Chapter 6 Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff – Introductory Investigations
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    Chapter 7 Evolution of a Controller with a Free Variable Using Genetic Programming
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    Chapter 8 Genetic Programming for Service Creation in Intelligent Networks
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    Chapter 9 Cartesian Genetic Programming
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    Chapter 10 Some Probabilistic Modelling Ideas for Boolean Classification in Genetic Programming
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    Chapter 11 Crossover in Grammatical Evolution: A Smooth Operator?
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    Chapter 12 Hyperschema Theory for GP with One-Point Crossover, Building Blocks, and Some New Results in GA Theory
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    Chapter 13 Use of Genetic Programming in the Identification of Rational Model Structures
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    Chapter 14 Grammatical Retina Description with Enhanced Methods
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    Chapter 15 Intraspecific Evolution of Learning by Genetic Programming
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    Chapter 16 An Evolutionary Approach to Multiperiod Asset Allocation
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    Chapter 17 Acquiring Textual Relations Automatically on the Web Using Genetic Programming
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    Chapter 18 Application of Genetic Programming to Induction of Linear Classification Trees
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    Chapter 19 A Metric for Genetic Programs and Fitness Sharing
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    Chapter 20 Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
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    Chapter 21 Experimental Study of Multipopulation Parallel Genetic Programming
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    Chapter 22 Genetic Programming and Simulated Annealing: A Hybrid Method to Evolve Decision Trees
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    Chapter 23 Seeding Genetic Programming Populations
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    Chapter 24 Distributed Java Bytecode Genetic Programming with Telecom Applications
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    Chapter 25 Fighting Program Bloat with the Fractal Complexity Measure
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    Chapter 26 Paragen – The First Results
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    Chapter 27 Multi-robot Cooperation and Competition with Genetic Programming
Attention for Chapter 9: Cartesian Genetic Programming
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Chapter title
Cartesian Genetic Programming
Chapter number 9
Book title
Genetic Programming
Published by
Springer, Berlin, Heidelberg, April 2000
DOI 10.1007/978-3-540-46239-2_9
Book ISBNs
978-3-54-067339-2, 978-3-54-046239-2
Authors

Julian F. Miller, Peter Thomson, Miller, Julian F., Thomson, Peter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Italy 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 32%
Student > Master 21 25%
Researcher 8 9%
Student > Bachelor 6 7%
Professor > Associate Professor 6 7%
Other 8 9%
Unknown 9 11%
Readers by discipline Count As %
Computer Science 40 47%
Engineering 21 25%
Biochemistry, Genetics and Molecular Biology 2 2%
Mathematics 1 1%
Nursing and Health Professions 1 1%
Other 6 7%
Unknown 14 16%