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Genetic Programming Theory and Practice X

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Cover of 'Genetic Programming Theory and Practice X'

Table of Contents

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    Book Overview
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    Chapter 1 Evolving SQL Queries from Examples with Developmental Genetic Programming
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    Chapter 2 A Practical Platform for On-Line Genetic Programming for Robotics
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    Chapter 3 Cartesian Genetic Programming for Image Processing
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    Chapter 4 A New Mutation Paradigm for Genetic Programming
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    Chapter 5 Introducing an Age-Varying Fitness Estimation Function
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    Chapter 6 EC-Star: A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System
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    Chapter 7 Genetic Analysis of Prostate Cancer Using Computational Evolution, Pareto-Optimization and Post-processing
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    Chapter 8 Meta-Dimensional Analysis of Phenotypes Using the Analysis Tool for Heritable and Environmental Network Associations (ATHENA): Challenges with Building Large Networks
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    Chapter 9 A Baseline Symbolic Regression Algorithm
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    Chapter 10 Symbolic Regression Model Comparison Approach Using Transmitted Variation
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    Chapter 11 A Framework for the Empirical Analysis of Genetic Programming System Performance
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    Chapter 12 More or Less? Two Approaches to Evolving Game-Playing Strategies
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    Chapter 13 Symbolic Regression Is Not Enough: It Takes a Village to Raise a Model
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    Chapter 14 FlexGP.py: Prototyping Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud
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    Chapter 15 Representing Communication and Learning in Femtocell Pilot Power Control Algorithms
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Title
Genetic Programming Theory and Practice X
Published by
Springer New York, January 2013
DOI 10.1007/978-1-4614-6846-2
ISBNs
978-1-4614-6846-2, 978-1-4614-6845-5
Authors

Riolo, Rick, Vladislavleva, Ekaterina, Ritchie, Marylyn D, Moore, Jason H

Editors

Riolo, Rick, Vladislavleva, Ekaterina, Ritchie, Marylyn D, Moore, Jason H.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
South Africa 1 2%
United Kingdom 1 2%
Unknown 61 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Student > Master 13 20%
Student > Bachelor 11 17%
Researcher 7 11%
Professor 4 6%
Other 13 20%
Readers by discipline Count As %
Computer Science 33 52%
Engineering 10 16%
Physics and Astronomy 4 6%
Unspecified 4 6%
Agricultural and Biological Sciences 3 5%
Other 10 16%