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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.
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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 %
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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