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Genetic Programming Theory and Practice

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Cover of 'Genetic Programming Theory and Practice'

Table of Contents

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    Book Overview
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    Chapter 1 Genetic Programming: Theory and Practice
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    Chapter 2 An Essay Concerning Human Understanding of Genetic Programming
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    Chapter 3 Classification of Gene Expression Data with Genetic Programming
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    Chapter 4 Artificial Regulatory Networks and Genetic Programming
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    Chapter 5 Using Software Engineering Knowledge to Drive Genetic Program Design Using Cultural Algorithms
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    Chapter 6 Continuous Hierarchical Fair Competition Model for Sustainable Innovation in Genetic Programming
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    Chapter 7 What Makes a Problem GP-Hard?
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    Chapter 8 A Probabilistic Model of Size Drift
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    Chapter 9 Building-Block Supply in Genetic Programming
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    Chapter 10 Modularization by Multi-Run Frequency Driven Subtree Encapsulation
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    Chapter 11 The Distribution of Reversible Functions is Normal
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    Chapter 12 Doing Genetic Algorithms the Genetic Programming Way
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    Chapter 13 Probabilistic Model Building and Competent Genetic Programming
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    Chapter 14 Automated Synthesis by Means of Genetic Programming of Complex Structures Incorporating Reuse, Parameterized Reuse, Hierarchies, and Development
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    Chapter 15 Industrial Strength Genetic Programming
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    Chapter 16 Operator Choice and the Evolution of Robust Solutions
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    Chapter 17 A Hybrid GP-Fuzzy Approach for Resevoir Characterization
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    Chapter 18 Enhanced Emerging Market Stock Selection
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    Chapter 19 Three Fundamentals of the Biological Genetic Algorithm
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Citations

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Title
Genetic Programming Theory and Practice
Published by
Springer US, November 2003
DOI 10.1007/978-1-4419-8983-3
ISBNs
978-1-4020-7581-0, 978-1-4613-4747-7, 978-1-4419-8983-3
Editors

Riolo, Rick, Worzel, Bill

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor 1 20%
Student > Doctoral Student 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Energy 1 20%
Materials Science 1 20%
Unknown 1 20%