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Genetic Programming

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Cover of 'Genetic Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Ariadne : Evolving Test Data Using Grammatical Evolution
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    Chapter 2 Quantum Program Synthesis: Swarm Algorithms and Benchmarks
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    Chapter 3 A Genetic Programming Approach to Predict Mosquitoes Abundance
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    Chapter 4 Complex Network Analysis of a Genetic Programming Phenotype Network
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    Chapter 5 Improving Genetic Programming with Novel Exploration - Exploitation Control
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    Chapter 6 Towards a Scalable EA-Based Optimization of Digital Circuits
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    Chapter 7 Cartesian Genetic Programming as an Optimizer of Programs Evolved with Geometric Semantic Genetic Programming
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    Chapter 8 Can Genetic Programming Do Manifold Learning Too?
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    Chapter 9 Why Is Auto-Encoding Difficult for Genetic Programming?
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    Chapter 10 Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions
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    Chapter 11 A Model of External Memory for Navigation in Partially Observable Visual Reinforcement Learning Tasks
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    Chapter 12 Fault Detection and Classification for Induction Motors Using Genetic Programming
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    Chapter 13 Fast DENSER: Efficient Deep NeuroEvolution
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    Chapter 14 A Vectorial Approach to Genetic Programming
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    Chapter 15 Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions
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    Chapter 16 Evolving AVX512 Parallel C Code Using GP
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    Chapter 17 Hyper-bent Boolean Functions and Evolutionary Algorithms
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    Chapter 18 Learning Class Disjointness Axioms Using Grammatical Evolution
Overall attention for this book and its chapters
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Title
Genetic Programming
Published by
Springer International Publishing, June 2019
DOI 10.1007/978-3-030-16670-0
ISBNs
978-3-03-016669-4, 978-3-03-016670-0
Editors

Sekanina, Lukas, Hu, Ting, Lourenço, Nuno, Richter, Hendrik, García-Sánchez, Pablo

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X Demographics

The data shown below were collected from the profiles of 4 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
Brazil 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 33%
Student > Ph. D. Student 10 25%
Researcher 5 13%
Professor > Associate Professor 3 8%
Other 2 5%
Other 2 5%
Unknown 5 13%
Readers by discipline Count As %
Computer Science 14 35%
Engineering 14 35%
Agricultural and Biological Sciences 4 10%
Chemical Engineering 2 5%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 4 10%