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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
  2. Altmetric Badge
    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
Attention for Chapter 4: A New Mutation Paradigm for Genetic Programming
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Readers on

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7 Mendeley
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Chapter title
A New Mutation Paradigm for Genetic Programming
Chapter number 4
Book title
Genetic Programming Theory and Practice X
Published by
Springer, New York, NY, January 2013
DOI 10.1007/978-1-4614-6846-2_4
Book ISBNs
978-1-4614-6845-5, 978-1-4614-6846-2
Authors

Christian Darabos, Mario Giacobini, Ting Hu, Jason H. Moore

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Ph. D. Student 1 14%
Student > Bachelor 1 14%
Student > Master 1 14%
Professor > Associate Professor 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 3 43%
Biochemistry, Genetics and Molecular Biology 1 14%
Agricultural and Biological Sciences 1 14%
Engineering 1 14%
Unknown 1 14%