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Genetic Programming Theory and Practice XIV

Overview of attention for book
Genetic Programming Theory and Practice XIV
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression
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    Chapter 2 An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming
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    Chapter 3 Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion
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    Chapter 4 Evolving Artificial General Intelligence for Video Game Controllers
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    Chapter 5 A Detailed Analysis of a PushGP Run
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    Chapter 6 Linear Genomes for Structured Programs
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    Chapter 7 Neutrality, Robustness, and Evolvability in Genetic Programming
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    Chapter 8 Local Search is Underused in Genetic Programming
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    Chapter 9 PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification
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    Chapter 10 Discovering Relational Structure in Program Synthesis Problems with Analogical Reasoning
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    Chapter 11 An Evolutionary Algorithm for Big Data Multi-Class Classification Problems
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    Chapter 12 A Generic Framework for Building Dispersion Operators in the Semantic Space
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    Chapter 13 Assisting Asset Model Development with Evolutionary Augmentation
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    Chapter 14 Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool
Attention for Chapter 12: A Generic Framework for Building Dispersion Operators in the Semantic Space
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Citations

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Summary Dimensions citations
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Chapter title
A Generic Framework for Building Dispersion Operators in the Semantic Space
Chapter number 12
Book title
Genetic Programming Theory and Practice XIV
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-97088-2_12
Book ISBNs
978-3-31-997087-5, 978-3-31-997088-2
Authors

Luiz Otavio V. B. Oliveira, Fernando E. B. Otero, Gisele L. Pappa, Oliveira, Luiz Otavio V. B., Otero, Fernando E. B., Pappa, Gisele L.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 25%
Student > Postgraduate 1 25%
Unknown 2 50%
Readers by discipline Count As %
Chemistry 1 25%
Engineering 1 25%
Unknown 2 50%

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