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Genetic Programming

Overview of attention for book
Cover of 'Genetic Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data
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    Chapter 2 Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing
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    Chapter 3 Incremental Evolution and Development of Deep Artificial Neural Networks
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    Chapter 4 Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming
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    Chapter 5 Comparing Genetic Programming Approaches for Non-functional Genetic Improvement
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    Chapter 6 Automatically Evolving Lookup Tables for Function Approximation
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    Chapter 7 Optimising Optimisers with Push GP
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    Chapter 8 An Evolutionary View on Reversible Shift-Invariant Transformations
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    Chapter 9 Benchmarking Manifold Learning Methods on a Large Collection of Datasets
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    Chapter 10 Ensemble Genetic Programming
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    Chapter 11 SGP-DT: Semantic Genetic Programming Based on Dynamic Targets
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    Chapter 12 Effect of Parent Selection Methods on Modularity
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    Chapter 13 Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models
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    Chapter 14 Challenges of Program Synthesis with Grammatical Evolution
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    Chapter 15 Detection of Frailty Using Genetic Programming
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    Chapter 16 Is k Nearest Neighbours Regression Better Than GP?
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    Chapter 17 Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling
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    Chapter 18 Classification of Autism Genes Using Network Science and Linear Genetic Programming
Attention for Chapter 6: Automatically Evolving Lookup Tables for Function Approximation
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Chapter title
Automatically Evolving Lookup Tables for Function Approximation
Chapter number 6
Book title
Genetic Programming
Published by
Springer, Cham, April 2020
DOI 10.1007/978-3-030-44094-7_6
Book ISBNs
978-3-03-044093-0, 978-3-03-044094-7
Authors

Oliver Krauss, William B. Langdon, Krauss, O, Langdon, WB, Krauss, Oliver, Langdon, William B.

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The data shown below were collected from the profile of 1 X user 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 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 %
Professor > Associate Professor 1 25%
Student > Bachelor 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Unknown 1 25%

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