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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
Attention for Chapter 6: Continuous Hierarchical Fair Competition Model for Sustainable Innovation in Genetic Programming
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Citations

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Chapter title
Continuous Hierarchical Fair Competition Model for Sustainable Innovation in Genetic Programming
Chapter number 6
Book title
Genetic Programming Theory and Practice
Published by
Springer, Boston, MA, January 2003
DOI 10.1007/978-1-4419-8983-3_6
Book ISBNs
978-1-4613-4747-7, 978-1-4419-8983-3
Authors

Jianjun Hu, Erik D. Goodman, Kisung Seo, Hu, Jianjun, Goodman, Erik D., Seo, Kisung

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Italy 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 25%
Researcher 4 25%
Student > Ph. D. Student 3 19%
Student > Bachelor 2 13%
Professor > Associate Professor 2 13%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 11 69%
Biochemistry, Genetics and Molecular Biology 1 6%
Medicine and Dentistry 1 6%
Engineering 1 6%
Unknown 2 13%